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Job Description: HAA PILOT Full-Time Opportunity Missions that matter. $275,000 Total Potential. 7/7. Missions that matter. Pilot Incentives - This is pilot life at Global Medical Response: • 💰 Potential to earn up to $110,000 bonus, • 🗓️ Up to half the year at home, • 🏠 On duty housing, • 🚁 Saving lives in HAA / HEMS If your passion is flying and you want to work in an environment where every second counts, contact us today! We’re hiring a Helicopter Pilot to provide medical air transportation services to REACH Air Medical Services’ customers. Safety is a key pillar of our services. Responsibilities • Working with a team of medical experts to safely transport customers to and from locations and facilities, • Ensure aircraft readiness as described in the appropriate manuals, including all FAR and REACH requirements, and aircraft cleanliness duties, • Maintain accurate REACH and regulatory documentation and record keeping, • Effectively communicate and collaborate with dispatch, flight crews, facilities, and partners, • Provide shift change info to successive pilot and team following protocol for recording REACH change board details, • Accountable to maintain required certifications and ongoing training Minimum Requirements • Current Rotorcraft FAA Commercial Certificate, • Helicopter instrument rating, • Current FAA Class II Medical Certificate, • 2,000 Total Flight Hours, • 2,000 Helicopter Hours, • 1,000 Helicopter PIC Hours, • 1,000 Turbine Helicopter Hours, • Minimum 200 Helicopter Night Flight Hours (Aided or Unaided), • Minimum 100 cumulative hours of instrument flight time, • 230 pound weight limit with flight gear Preferred Qualifications • EC135/H135 Aircraft Experience, • High School Diploma/Equivalent or Higher, • Upload your Pilot License and FAA Medical Certificate Why Choose REACH? As a quality air medical transport service, is one of ’s (GMR) family of solutions. Our GMR teams deliver compassionate, quality medical care, primarily in the areas of emergency and patient relocation services. View the stories on how our employees provide care to the world at _. GMR’s Core Behaviors—keep care at the center, raise your hand, seek to understand, find a way together and be accountable—unite our teams and set us apart in emergency medical services. Pay range potential $150,020- $165,026 and bonus eligible EEO Statement: Global Medical Response and its family of companies are an Equal Opportunity Employer, which includes supporting veterans and providing _for individuals with a disability. More Information about this Job: Check out our careers site _ to learn more about our benefit options.

Job Description: HAA PILOT Full-Time Opportunity Missions that matter. $275,000 Total Potential. 7/7. Missions that matter. Pilot Incentives - This is pilot life at Global Medical Response: • 💰 Potential to earn up to $110,000 bonus, • 🗓️ Up to half the year at home, • 🏠 On duty housing, • 🚁 Saving lives in HAA / HEMS If your passion is flying and you want to work in an environment where every second counts, contact us today! We’re hiring a Helicopter Pilot to provide medical air transportation services to REACH Air Medical Services’ customers. Safety is a key pillar of our services. Responsibilities • Working with a team of medical experts to safely transport customers to and from locations and facilities, • Ensure aircraft readiness as described in the appropriate manuals, including all FAR and REACH requirements, and aircraft cleanliness duties, • Maintain accurate REACH and regulatory documentation and record keeping, • Effectively communicate and collaborate with dispatch, flight crews, facilities, and partners, • Provide shift change info to successive pilot and team following protocol for recording REACH change board details, • Accountable to maintain required certifications and ongoing training Minimum Requirements • Current Rotorcraft FAA Commercial Certificate, • Helicopter instrument rating, • Current FAA Class II Medical Certificate, • 2,000 Total Flight Hours, • 2,000 Helicopter Hours, • 1,000 Helicopter PIC Hours, • 1,000 Turbine Helicopter Hours, • Minimum 200 Helicopter Night Flight Hours (Aided or Unaided), • Minimum 100 cumulative hours of instrument flight time, • 230 pound weight limit with flight gear Preferred Qualifications • EC135/H135 Aircraft Experience, • High School Diploma/Equivalent or Higher, • Upload your Pilot License and FAA Medical Certificate Why Choose REACH? As a quality air medical transport service, is one of ’s (GMR) family of solutions. Our GMR teams deliver compassionate, quality medical care, primarily in the areas of emergency and patient relocation services. View the stories on how our employees provide care to the world at _. GMR’s Core Behaviors—keep care at the center, raise your hand, seek to understand, find a way together and be accountable—unite our teams and set us apart in emergency medical services. Pay range potential $150,020- $165,026 and bonus eligible EEO Statement: Global Medical Response and its family of companies are an Equal Opportunity Employer, which includes supporting veterans and providing _for individuals with a disability. More Information about this Job: Check out our careers site _ to learn more about our benefit options.

Job Description: HAA PILOT Full-Time Opportunity Missions that matter. $275,000 Total Potential. 7/7. Missions that matter. Pilot Incentives - This is pilot life at Global Medical Response: • 💰 Potential to earn up to $110,000 bonus, • 🗓️ Up to half the year at home, • 🏠 On duty housing, • 🚁 Saving lives in HAA / HEMS If your passion is flying and you want to work in an environment where every second counts, contact us today! We’re hiring a Helicopter Pilot to provide medical air transportation services to REACH Air Medical Services’ customers. Safety is a key pillar of our services. Responsibilities • Working with a team of medical experts to safely transport customers to and from locations and facilities, • Ensure aircraft readiness as described in the appropriate manuals, including all FAR and REACH requirements, and aircraft cleanliness duties, • Maintain accurate REACH and regulatory documentation and record keeping, • Effectively communicate and collaborate with dispatch, flight crews, facilities, and partners, • Provide shift change info to successive pilot and team following protocol for recording REACH change board details, • Accountable to maintain required certifications and ongoing training Minimum Requirements • Current Rotorcraft FAA Commercial Certificate, • Helicopter instrument rating, • Current FAA Class II Medical Certificate, • 2,000 Total Flight Hours, • 2,000 Helicopter Hours, • 1,000 Helicopter PIC Hours, • 1,000 Turbine Helicopter Hours, • Minimum 200 Helicopter Night Flight Hours (Aided or Unaided), • Minimum 100 cumulative hours of instrument flight time, • 230 pound weight limit with flight gear Preferred Qualifications • EC135/H135 Aircraft Experience, • High School Diploma/Equivalent or Higher, • Upload your Pilot License and FAA Medical Certificate Why Choose REACH? As a quality air medical transport service, is one of ’s (GMR) family of solutions. Our GMR teams deliver compassionate, quality medical care, primarily in the areas of emergency and patient relocation services. View the stories on how our employees provide care to the world at _. GMR’s Core Behaviors—keep care at the center, raise your hand, seek to understand, find a way together and be accountable—unite our teams and set us apart in emergency medical services. Pay range potential $150,020- $165,026 and bonus eligible EEO Statement: Global Medical Response and its family of companies are an Equal Opportunity Employer, which includes supporting veterans and providing _for individuals with a disability. More Information about this Job: Check out our careers site _ to learn more about our benefit options.

Job Description: HAA PILOT Full-Time Opportunity Missions that matter. $275,000 Total Potential. 7/7. Missions that matter. Pilot Incentives - This is pilot life at Global Medical Response: • 💰 Potential to earn up to $110,000 bonus, • 🗓️ Up to half the year at home, • 🏠 On duty housing, • 🚁 Saving lives in HAA / HEMS If your passion is flying and you want to work in an environment where every second counts, contact us today! We’re hiring a Helicopter Pilot to provide medical air transportation services to REACH Air Medical Services’ customers. Safety is a key pillar of our services. Responsibilities • Working with a team of medical experts to safely transport customers to and from locations and facilities, • Ensure aircraft readiness as described in the appropriate manuals, including all FAR and REACH requirements, and aircraft cleanliness duties, • Maintain accurate REACH and regulatory documentation and record keeping, • Effectively communicate and collaborate with dispatch, flight crews, facilities, and partners, • Provide shift change info to successive pilot and team following protocol for recording REACH change board details, • Accountable to maintain required certifications and ongoing training Minimum Requirements • Current Rotorcraft FAA Commercial Certificate, • Helicopter instrument rating, • Current FAA Class II Medical Certificate, • 2,000 Total Flight Hours, • 2,000 Helicopter Hours, • 1,000 Helicopter PIC Hours, • 1,000 Turbine Helicopter Hours, • Minimum 200 Helicopter Night Flight Hours (Aided or Unaided), • Minimum 100 cumulative hours of instrument flight time, • 230 pound weight limit with flight gear Preferred Qualifications • EC135/H135 Aircraft Experience, • High School Diploma/Equivalent or Higher, • Upload your Pilot License and FAA Medical Certificate Why Choose REACH? As a quality air medical transport service, is one of ’s (GMR) family of solutions. Our GMR teams deliver compassionate, quality medical care, primarily in the areas of emergency and patient relocation services. View the stories on how our employees provide care to the world at _. GMR’s Core Behaviors—keep care at the center, raise your hand, seek to understand, find a way together and be accountable—unite our teams and set us apart in emergency medical services. Pay range potential $150,020- $165,026 and bonus eligible EEO Statement: Global Medical Response and its family of companies are an Equal Opportunity Employer, which includes supporting veterans and providing _for individuals with a disability. More Information about this Job: Check out our careers site _ to learn more about our benefit options.

Job Description: HAA PILOT Full-Time Opportunity Missions that matter. $275,000 Total Potential. 7/7. Missions that matter. Pilot Incentives - This is pilot life at Global Medical Response: • 💰 Potential to earn up to $110,000 bonus, • 🗓️ Up to half the year at home, • 🏠 On duty housing, • 🚁 Saving lives in HAA / HEMS If your passion is flying and you want to work in an environment where every second counts, contact us today! We’re hiring a Helicopter Pilot to provide medical air transportation services to REACH Air Medical Services’ customers. Safety is a key pillar of our services. Responsibilities • Working with a team of medical experts to safely transport customers to and from locations and facilities, • Ensure aircraft readiness as described in the appropriate manuals, including all FAR and REACH requirements, and aircraft cleanliness duties, • Maintain accurate REACH and regulatory documentation and record keeping, • Effectively communicate and collaborate with dispatch, flight crews, facilities, and partners, • Provide shift change info to successive pilot and team following protocol for recording REACH change board details, • Accountable to maintain required certifications and ongoing training Minimum Requirements • Current Rotorcraft FAA Commercial Certificate, • Helicopter instrument rating, • Current FAA Class II Medical Certificate, • 2,000 Total Flight Hours, • 2,000 Helicopter Hours, • 1,000 Helicopter PIC Hours, • 1,000 Turbine Helicopter Hours, • Minimum 200 Helicopter Night Flight Hours (Aided or Unaided), • Minimum 100 cumulative hours of instrument flight time, • 230 pound weight limit with flight gear Preferred Qualifications • EC135/H135 Aircraft Experience, • High School Diploma/Equivalent or Higher, • Upload your Pilot License and FAA Medical Certificate Why Choose REACH? As a quality air medical transport service, is one of ’s (GMR) family of solutions. Our GMR teams deliver compassionate, quality medical care, primarily in the areas of emergency and patient relocation services. View the stories on how our employees provide care to the world at _. GMR’s Core Behaviors—keep care at the center, raise your hand, seek to understand, find a way together and be accountable—unite our teams and set us apart in emergency medical services. Pay range potential $150,020- $165,026 and bonus eligible EEO Statement: Global Medical Response and its family of companies are an Equal Opportunity Employer, which includes supporting veterans and providing _for individuals with a disability. More Information about this Job: Check out our careers site _ to learn more about our benefit options.

Job Description: HAA PILOT Full-Time Opportunity Missions that matter. $275,000 Total Potential. 7/7. Missions that matter. Pilot Incentives - This is pilot life at Global Medical Response: • 💰 Potential to earn up to $110,000 bonus, • 🗓️ Up to half the year at home, • 🏠 On duty housing, • 🚁 Saving lives in HAA / HEMS If your passion is flying and you want to work in an environment where every second counts, contact us today! We’re hiring a Helicopter Pilot to provide medical air transportation services to REACH Air Medical Services’ customers. Safety is a key pillar of our services. Responsibilities • Working with a team of medical experts to safely transport customers to and from locations and facilities, • Ensure aircraft readiness as described in the appropriate manuals, including all FAR and REACH requirements, and aircraft cleanliness duties, • Maintain accurate REACH and regulatory documentation and record keeping, • Effectively communicate and collaborate with dispatch, flight crews, facilities, and partners, • Provide shift change info to successive pilot and team following protocol for recording REACH change board details, • Accountable to maintain required certifications and ongoing training Minimum Requirements • Current Rotorcraft FAA Commercial Certificate, • Helicopter instrument rating, • Current FAA Class II Medical Certificate, • 2,000 Total Flight Hours, • 2,000 Helicopter Hours, • 1,000 Helicopter PIC Hours, • 1,000 Turbine Helicopter Hours, • Minimum 200 Helicopter Night Flight Hours (Aided or Unaided), • Minimum 100 cumulative hours of instrument flight time, • 230 pound weight limit with flight gear Preferred Qualifications • EC135/H135 Aircraft Experience, • High School Diploma/Equivalent or Higher, • Upload your Pilot License and FAA Medical Certificate Why Choose REACH? As a quality air medical transport service, is one of ’s (GMR) family of solutions. Our GMR teams deliver compassionate, quality medical care, primarily in the areas of emergency and patient relocation services. View the stories on how our employees provide care to the world at _. GMR’s Core Behaviors—keep care at the center, raise your hand, seek to understand, find a way together and be accountable—unite our teams and set us apart in emergency medical services. Pay range potential $150,020- $165,026 and bonus eligible EEO Statement: Global Medical Response and its family of companies are an Equal Opportunity Employer, which includes supporting veterans and providing _for individuals with a disability. More Information about this Job: Check out our careers site _ to learn more about our benefit options.

Job DescriptionABOUT Want to join a fast-paced, innovative company that is transforming the future of blood testing? Truvian is a healthcare technology company operating at the intersection of diagnostics and consumer technology. We have developed an automated benchtop diagnostic platform that delivers laboratory-quality results in 30 minutes or less across a broad range of health tests. Our proprietary technology, which has received FDA clearance, is designed to make blood testing more accessible, convenient, and affordable by providing comprehensive results from a single small blood sample in minutes—whether in a retail setting or a private clinic. As we continue to expand access to diagnostic testing, we are actively pursuing CLIA Waiver status to further enable point-of-care testing and bring high-quality healthcare closer to where patients need it most. To us, our work at Truvian is more than a job – It’s a mission. We are a culture dedicated to discovery and empowerment. We are trailblazers on the path to put health information where it belongs - in the hands of the individual. We are partners in the belief that talented people, working as a team, can make every day an adventure. Come join us as we realize our vision to make routine health testing convenient, affordable, and actionable for today’s connected consumers! JOB SUMMARY We are looking for a talented temporary Manufacturing Production Operator to become a member of the Operations team at Truvian Sciences, reporting to the Supervisor. Candidates with a proven track record of executing production processes will be considered. The scope of the work will include, but is not limited to, hands-on tasks associated with operation of production processing equipment, assembling components, maintaining production records, and other tasks associated with manufacturing Truvian’s consumables. This individual must be capable of reading and/or hearing and understanding detailed instructions, to perform accurate, repeatable production process steps. A background in GMP manufacturing and ISO-13485 environments is preferred. HERE’S WHY YOU’LL LOVE THIS JOB: • You'll work with a rock star team of people who are passionate about the work they do and our ability to disrupt healthcare with our innovative products, • You’ll be a key player on a team responsible for the company’s growth and product launch, • You thrive in a fast-paced and dynamic environment where you can implement fresh ideas, new processes, and make things happen quickly without a bunch of red tape, • You’ll have great perks such as: Generous Benefits (Medical/Dental/Vision/EAP/Paid Life Insurance/LTD/401K), paid parental leave, vacation and paid holidays, Kombucha and cold brew on tap, craft coffee, a variety of healthy snacks, on site gym and virtual classes, and a farm to table onsite restaurant including a 30% discountWHAT YOU WILL DO: Broadly, this role is responsible for the delivery of Truvian’s diagnostic products into diverse, global end markets. This will require: • Prepare and assemble materials. Build product subassemblies or final assemblies, • Test products or subassemblies for functionality or quality. Inspect finished products for quality and adherence to specifications, • Set up and operate production equipment in accordance with current good manufacturing practices and standard operating procedures, • Measure and record data associated with operating equipment. Monitor and adjust production processes or equipment for quality and productivity, • Provide production, progress, or changeover feedback to shift supervisors, • Clean production equipment or work areas, • Separate scrap or waste materials for recycling, reuse, or environmentally sound disposal. Transfer hazardous or non-hazardous waste materials to collection areas for disposal, recycling, or reuse, • Other duties to be assignedWHAT YOU WILL BRING: The ideal candidate will have extensive experience in: • High School Diploma, • A minimum of 1 year of cGMP, ISO 13485 industry experience., • Ability to check for defects and identify and distinguish between colors, • Ability to read and carefully follow instructions written in English, • Experience in a start-up and/or pilot production environment, • Excellent written and verbal English communication skills, • Basic Computer Skills – Excel, Word, PowerPoint, Visio. Experience with, • Very strong analytical and problem-solving skills; organized and efficient, • Proven interpersonal, communication, and presentation skills; excellent time management skills, • Able to excel in collaborative, fast-paced, and evolving start up environment; able to manage competing priorities, • Superb attention to detail; produces work of exceptional quality and accuracy, • Ability to proactively identify issues and address with solutions-oriented approachThe ideal candidate would have some exposure to life sciences, diagnostics, and or medical devices. HOURLY RANGE $17.75 - $21.00 The salary range for this position represents the anticipated range for qualified candidates. Compensation decisions are based on a variety of factors, including relevant experience, skills, education, training, certifications, internal equity, market data, and business needs. The final compensation offered to a successful candidate will be determined based on these factors and the requirements of the role. SUPERVISORY ROLE • No PHYSICAL DEMANDS AND ABILITIES • Regularly required to use hands to finger, handle or feel, reach with hands and arms and talk or hear, • Ability to lift and move over 10 lbs. repeatedly and safely, • Frequently required to stand, walk, stoop, kneel, crouch, • Occasionally required to sit for long periods, • Specific vision abilities required for this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust and focus If you want to stand out, please include a cover letter Truvian is an Equal Opportunity Employer and is committed to fostering a diverse, inclusive, and respectful workplace. Employment decisions are made based on qualifications, merit, and business needs. Truvian prohibits discrimination, harassment, and retaliation and does not discriminate on the basis of any characteristic protected by applicable federal, state, or local law, including race, color, religion, creed, sex, pregnancy (including childbirth, breastfeeding, and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, reproductive health decision-making, or any other legally protected status. This policy applies to all aspects of employment, including recruitment, hiring, placement, promotion, compensation, benefits, training, transfers, leaves of absence, disciplinary actions, termination, and all other terms and conditions of employment. Truvian is also committed to providing reasonable accommodations to qualified individuals with disabilities and to applicants and employees with sincerely held religious beliefs, practices, or observances, in accordance with applicable law. Powered by JazzHR iTUJWWk6md

Job DescriptionAbout the Role We are looking for Autonomous Vehicle Safety Operators (Safety Drivers) to support the testing, validation, commercial deployment, and scaling of autonomous vehicle (AV) and robotaxi fleets across North America. As an Autonomous Vehicle Safety Operator, you will play a critical role in ensuring the safe operation of self-driving vehicles during testing, pilot programs, and commercial autonomous ride-hailing services. Working closely with engineering, fleet operations, and depot teams, you will monitor vehicle behaviour, ensure compliance with operational procedures, and safely intervene whenever required. No previous autonomous vehicle experience is required. We provide comprehensive training on autonomous driving systems, operational procedures, and safety protocols. We are looking for experienced, responsible drivers with excellent situational awareness who are excited to contribute to the future of mobility. This position offers the opportunity to work with some of the world's most advanced autonomous vehicle technologies, supporting robotaxi launches, fleet expansion, and commercial autonomous transportation across multiple cities. Key Responsibilities Autonomous Vehicle Operations • Safely operate and monitor autonomous vehicles during testing, validation, and commercial robotaxi fleet operations., • Continuously supervise the performance of the self-driving system while maintaining full awareness of surrounding traffic conditions., • Take immediate manual control of the vehicle whenever required by operational procedures or safety protocols., • Complete assigned routes while ensuring compliance with local traffic regulations and company operating procedures., • Support the successful deployment of autonomous ride-hailing services by maintaining safe and consistent vehicle operation.Fleet Readiness & Vehicle Inspection, • Conduct pre-trip and post-trip inspections to ensure each autonomous vehicle is deployment-ready., • Verify vehicle cleanliness and inspect cameras, sensors, mirrors, lighting, and other critical systems before each shift., • Report any damage, abnormal vehicle behaviour, or maintenance concerns to depot and technical teams., • Support overall fleet readiness by ensuring vehicles remain available for daily operations.Data Collection & Operational Reporting, • Record disengagements, observations, and operational events using company reporting tools., • Provide clear, structured feedback on vehicle behaviour, traffic conditions, and unusual scenarios encountered during testing or commercial operations., • Assist engineering teams by documenting situations that improve the performance of autonomous driving systems., • Maintain accurate operational records and complete all required documentation.Safety & Compliance, • Follow all operational procedures, safety protocols, and regulatory requirements., • Participate in ongoing training, certification, and safety refreshers., • Maintain professionalism when interacting with members of the public during autonomous vehicle testing and robotaxi operations., • Support continuous improvement initiatives aimed at increasing the safety and efficiency of autonomous fleet operations.Requirements Essential, • Valid driver's license., • Minimum 5 years of driving experience., • Clean driving record with no major violations., • Ability to successfully pass a background verification (BGV)., • Ability to pass pre-employment and random drug and alcohol screening., • Excellent situational awareness and defensive driving skills., • Comfortable driving for extended periods in urban and highway environments., • Ability to follow detailed operational procedures with high attention to detail., • Strong communication and reporting skills., • Upper-Intermediate English.Preferred, • Experience as a professional driver, fleet driver, chauffeur, ride-hailing driver, or vehicle tester., • Previous experience supporting automotive testing, ADAS validation, mapping, or fleet operations., • Familiarity with electric vehicles (EVs)., • Experience working in shift-based or 24/7 operational environments.What We're Looking For Successful Autonomous Vehicle Safety Operators are calm under pressure, highly observant, and committed to safety. They enjoy working with emerging technologies and understand the importance of consistency, accuracy, and procedural compliance in supporting autonomous vehicle deployment and robotaxi fleet operations. You do not need previous experience working with autonomous vehicles - our comprehensive training program will prepare you to safely support the testing, deployment, and commercial operation of self-driving vehicles. What We Offer • Opportunity to work on some of most advanced autonomous vehicle and robotaxi programs., • Comprehensive training on autonomous driving systems and operational procedures., • Long-term career opportunities within the rapidly growing autonomous mobility industry., • Exposure to cutting-edge robotics, artificial intelligence, and autonomous transportation technologies., • International projects supporting robotaxi launches, new city deployments, and fleet scaling across North America., • A collaborative environment working alongside engineering, operations, and technical specialists developing the future of autonomous ride-hailing services. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionDescriptionEarly Intervention Occupational Therapist Company: Includ(Ed) Location: Various Locations Throughout San Diego Includ(Ed) Campuses • Pacific Beach Campus: 4761 Cass Street, San Diego, CA 92109, • Point Loma Campus: 3598 Talbot St, San Diego, CA 92106 Salary: $85,000-$100,000 (Depending on Experience)Status: Part-Time/Full Time Our Mission and Vision: At Includ(Ed), Our philosophy is simple: all children deserve access to community, care, and education. We are on a mission to increase access to quality, inclusive early childhood education and childcare one classroom at a time. Includ(Ed) provides early intervention-focused, full-time, inclusive preschool where all are welcome. Collectively, our staff provides the support, care, and education that enable typically-developing children and children with disabilities to learn, play, and thrive together. The Role: Alongside the rest of the field therapy team, this Occupational therapist would see approximately 22-25 infants and toddlers in the home to provide therapy (driving time paid, mileage reimbursed). Key ResponsibilitiesResponsibilities: • Deliver direct services to children with diverse needs, fostering their motor, sensory, and cognitive development., • Develop and implement individualized treatment plans for children, in collaboration with parents and other professionals., • Conduct assessments and evaluations in children's homes to identify specific therapeutic needs., • Provide individualized treatment sessions, focusing on enhancing children's functional abilities in their home environments., • Educate and train parents or caregivers on strategies to support their child's development and address specific challenges., • Co-create and facilitate transdisciplinary early intervention-focused curriculum with a team of other therapists., • Document and maintain accurate records of assessments, treatment plans, progress reports, and any related administrative tasks., • Communicate regularly with parents/caregivers to provide updates on their child's progress and involve them in goal-setting and treatment planning., • Collaborate with other professionals to support students and share best practices, • Plan and lead community classes weekly Qualifications • A Master's degree in Occupational Therapy from an accredited institution., • CA State licensure as an Occupational Therapist., • Experience working with young children in educational or therapeutic settings., • Knowledge of best practices in inclusive education and early childhood development., • Excellent communication and collaboration skills, with the ability to work effectively with children, families, and a multidisciplinary team., • Demonstrated understanding of individualized treatment planning and the ability to adapt interventions to meet diverse needs., • Ability to work effectively as part of a transdisciplinary team, collaborating with teachers, therapists, and other professionals., • Excellent communication skills, both verbal and written, with the ability to interact compassionately with children, parents, and colleagues., • Empathy, patience, and a genuine passion for working with children of all abilities., • Flexibility to adapt to the dynamic needs of a pilot program and work in a collaborative, innovative environment., • A strengths-based therapy approach, • Genuine belief in the power of inclusion, • Genuine celebration of neurodiversity., • Regular access to reliable transportation., • Commitment to continued professional development Working Hours/Physical Requirements Working Hours: • Approx. 20-40 hours per week overseeing and providing services to caseload (this includes direct service time, travel time, documentation, collaboration, admin time)Physical Requirements of the Job: Applicants should be comfortable:, • Standing for 2+ plus hours per day, • Stooping, bending, climbing, and walking frequently, • Lifting up to 40 pounds To Apply: Please submit your resume and a cover letter to jobs@includedsd.org. EEOC Statement Includ(Ed) is an equal opportunity employer. We are committed to providing equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionOur client, a leading Medical Device Manufacturing Company is looking for Staff Packaging Engineer and This is for an initial duration of 10 Months Contract – San Diego, CA Job Title: Staff Packaging Engineer Job Id: 26-05401 Location: San Diego, CA Duration: 10 Months Contract Position Type: Hourly Contract Position (W2 only) On site preferred. Packaging Engineer Job Summary • The Staff Packaging Engineer serves as the technical lead for packaging design, development, verification, validation, implementation, and lifecycle management activities supporting MMS Dispensing products. This role develops robust packaging systems that protect complex electromechanical medical devices, subassemblies, accessories, service parts, and field retrofit kits throughout handling, storage, distribution, installation, and service., • The position partners with R&D, Quality, Regulatory Affairs, Manufacturing, Supply Chain, Procurement, Service, Marketing, and external suppliers. The Staff Packaging Engineer provides technical leadership for new product development, sustaining engineering, remediation programs, manufacturing transfers, supplier changes, global product releases, cost improvement, and packaging sustainability initiatives. Job Responsibilities Technical Leadership • Lead packaging engineering activities for new product development, sustaining engineering, remediation programs, and design changes across the MMS Dispensing portfolio., • Serve as the packaging subject matter expert on cross-functional project teams and design reviews., • Develop packaging strategies, technical plans, schedules, resource estimates, and deliverables for complex programs., • Provide technical direction and mentoring to engineers, technicians, suppliers, and project team members., • Lead complex investigations related to packaging performance, transportation damage, field complaints, installation concerns, and supplier quality issues. Packaging Design and Development, • Design and develop primary, secondary, and tertiary packaging for dispensing hardware, modules, peripherals, accessories, spare parts, and field retrofit kits., • Translate product, customer, regulatory, quality, manufacturing, service, and distribution requirements into documented packaging requirements and design solutions., • Create packaging concepts, prototypes, engineering drawings, specifications, bills of material, and acceptance criteria., • Evaluate and select materials, cushioning systems, corrugated structures, pallets, crates, protective films, labels, and related components., • Apply design-for-manufacturing, design-for-assembly, serviceability, ergonomics, sustainability, and total-cost considerations., • Ensure package designs support safe handling, storage, shipment, unpacking, installation, and disposal across global distribution environments. Testing and Validation, • Develop risk-based packaging verification and validation strategies aligned with product and distribution requirements., • Author and approve engineering studies, test protocols, reports, technical assessments, and design verification documentation., • Plan and execute vibration, shock, drop, compression, environmental conditioning, handling, and distribution simulation testing., • Define representative test samples, acceptance criteria, test configurations, and rationale for test methods., • Analyze test results, document conclusions, resolve failures, and establish objective evidence that requirements have been met., • Coordinate testing with internal laboratories, external laboratories, manufacturing sites, and suppliers. Quality, Regulatory, and Design Control Compliance, • Ensure packaging activities comply with applicable client quality system procedures, design controls, risk management requirements, and document control practices., • Contribute to design inputs, design outputs, design reviews, verification, validation, design transfer, and change control deliverables., • Support packaging-related risk analyses, including design and process failure mode evaluations and hazard assessments., • Provide packaging content for regulatory submissions, technical documentation, audit responses, and remediation records as required., • Maintain clear traceability among packaging requirements, risks, specifications, test methods, results, and released design artifacts. Supplier and Manufacturing Support, • Partner with suppliers to develop, prototype, source, qualify, and implement packaging materials and systems., • Lead supplier technical reviews and support supplier selection, qualification, change assessment, and issue resolution., • Collaborate with Manufacturing Engineering and Operations to define packaging processes, equipment, work instructions, inspection methods, and process controls., • Support commercialization, manufacturing transfers, pilot builds, production readiness, and global deployment activities., • Provide technical support for nonconformances, corrective actions, deviations, and packaging process improvements. Sustaining Engineering and Lifecycle Management, • Lead packaging changes associated with product updates, component obsolescence, supplier changes, manufacturing transfers, remediation, and regulatory needs., • Investigate packaging-related field issues and transportation damage using structured root cause analysis and data-driven problem solving., • Identify and implement opportunities for packaging standardization, simplification, sustainability, quality improvement, and cost reduction., • Maintain packaging specifications, drawings, bills of material, test methods, and design history documentation throughout the product lifecycle., • Monitor packaging performance and recommend preventive or corrective actions based on complaint, quality, supplier, manufacturing, and distribution data. Education Required • Bachelor's degree in Packaging Engineering, Mechanical Engineering, Materials Engineering, Industrial Engineering, Biomedical Engineering, or a related technical discipline. Preferred, • Master's degree in Packaging Engineering, Engineering, or a related technical discipline. Experience Required • Minimum of 5-7 years of packaging engineering or closely related product development experience., • Demonstrated experience leading packaging design, development, verification, validation, implementation, and lifecycle activities., • Experience leading cross-functional technical projects and resolving complex engineering problems., • Experience developing packaging for complex products, equipment, hardware systems, or regulated products. Preferred, • Experience in the medical device, pharmaceutical, diagnostics, or other regulated industry., • Experience supporting electromechanical medical devices, capital equipment, dispensing systems, or healthcare hardware., • Experience with transportation and distribution testing, package qualification, and environmental conditioning., • Experience supporting global product launches, sustaining engineering, remediation programs, manufacturing transfers, and supplier management., • Experience with service-part, accessory, or field-retrofit-kit packaging. Knowledge, Skills, and Abilities, • Strong knowledge of packaging engineering principles, protective packaging methods, packaging materials, and distribution environments., • Working knowledge of recognized package testing practices and relevant ASTM and ISTA test methods., • Knowledge of medical device design controls, risk management, verification and validation, change control, and quality system requirements., • Ability to create and review packaging drawings, specifications, bills of material, test protocols, reports, and technical assessments., • Experience with packaging design or CAD tools such as ArtiosCAD, AutoCAD, or SolidWorks., • Proficiency in statistical analysis, test planning, root cause analysis, tolerance assessment, and data-driven decision making., • Strong project leadership, organization, written communication, and stakeholder management skills., • Ability to influence decisions, manage competing priorities, and work effectively across global and cross-functional teams., • Ability to communicate technical information clearly to engineering, quality, regulatory, operations, service, suppliers, and leadership. Compensation: The hourly rate for this position is between $83.00-$86.00 per hour. Factors which may affect starting pay within this range may include [geography/market, skills, education, experience and other qualifications of the successful candidate]. Qualified candidates please send your word format updated resume at the earliest to Pavan: Pavan.p@sunrisesys.com [732-395-4444]. Thank You.

Job Description Job Title: Staff Packaging Engineer Job Id: 26-05401 Location: San Diego, CA Duration: 10 Months Contract Position Type: Hourly Contract Position (W2 only) On site preferred. Packaging Engineer Job Summary • The Staff Packaging Engineer serves as the technical lead for packaging design, development, verification, validation, implementation, and lifecycle management activities supporting MMS Dispensing products. This role develops robust packaging systems that protect complex electromechanical medical devices, subassemblies, accessories, service parts, and field retrofit kits throughout handling, storage, distribution, installation, and service., • The position partners with R&D, Quality, Regulatory Affairs, Manufacturing, Supply Chain, Procurement, Service, Marketing, and external suppliers. The Staff Packaging Engineer provides technical leadership for new product development, sustaining engineering, remediation programs, manufacturing transfers, supplier changes, global product releases, cost improvement, and packaging sustainability initiatives. Job Responsibilities Technical Leadership • Lead packaging engineering activities for new product development, sustaining engineering, remediation programs, and design changes across the MMS Dispensing portfolio., • Serve as the packaging subject matter expert on cross-functional project teams and design reviews., • Develop packaging strategies, technical plans, schedules, resource estimates, and deliverables for complex programs., • Provide technical direction and mentoring to engineers, technicians, suppliers, and project team members., • Lead complex investigations related to packaging performance, transportation damage, field complaints, installation concerns, and supplier quality issues. Packaging Design and Development • Design and develop primary, secondary, and tertiary packaging for dispensing hardware, modules, peripherals, accessories, spare parts, and field retrofit kits., • Translate product, customer, regulatory, quality, manufacturing, service, and distribution requirements into documented packaging requirements and design solutions., • Create packaging concepts, prototypes, engineering drawings, specifications, bills of material, and acceptance criteria., • Evaluate and select materials, cushioning systems, corrugated structures, pallets, crates, protective films, labels, and related components., • Apply design-for-manufacturing, design-for-assembly, serviceability, ergonomics, sustainability, and total-cost considerations., • Ensure package designs support safe handling, storage, shipment, unpacking, installation, and disposal across global distribution environments. Testing and Validation • Develop risk-based packaging verification and validation strategies aligned with product and distribution requirements., • Author and approve engineering studies, test protocols, reports, technical assessments, and design verification documentation., • Plan and execute vibration, shock, drop, compression, environmental conditioning, handling, and distribution simulation testing., • Define representative test samples, acceptance criteria, test configurations, and rationale for test methods., • Analyze test results, document conclusions, resolve failures, and establish objective evidence that requirements have been met., • Coordinate testing with internal laboratories, external laboratories, manufacturing sites, and suppliers. Quality, Regulatory, and Design Control Compliance • Ensure packaging activities comply with applicable client quality system procedures, design controls, risk management requirements, and document control practices., • Contribute to design inputs, design outputs, design reviews, verification, validation, design transfer, and change control deliverables., • Support packaging-related risk analyses, including design and process failure mode evaluations and hazard assessments., • Provide packaging content for regulatory submissions, technical documentation, audit responses, and remediation records as required., • Maintain clear traceability among packaging requirements, risks, specifications, test methods, results, and released design artifacts. Supplier and Manufacturing Support • Partner with suppliers to develop, prototype, source, qualify, and implement packaging materials and systems., • Lead supplier technical reviews and support supplier selection, qualification, change assessment, and issue resolution., • Collaborate with Manufacturing Engineering and Operations to define packaging processes, equipment, work instructions, inspection methods, and process controls., • Support commercialization, manufacturing transfers, pilot builds, production readiness, and global deployment activities., • Provide technical support for nonconformances, corrective actions, deviations, and packaging process improvements. Sustaining Engineering and Lifecycle Management • Lead packaging changes associated with product updates, component obsolescence, supplier changes, manufacturing transfers, remediation, and regulatory needs., • Investigate packaging-related field issues and transportation damage using structured root cause analysis and data-driven problem solving., • Identify and implement opportunities for packaging standardization, simplification, sustainability, quality improvement, and cost reduction., • Maintain packaging specifications, drawings, bills of material, test methods, and design history documentation throughout the product lifecycle., • Monitor packaging performance and recommend preventive or corrective actions based on complaint, quality, supplier, manufacturing, and distribution data. Education Required • Bachelor's degree in Packaging Engineering, Mechanical Engineering, Materials Engineering, Industrial Engineering, Biomedical Engineering, or a related technical discipline. Preferred • Master's degree in Packaging Engineering, Engineering, or a related technical discipline. Experience Required • Minimum of 5-7 years of packaging engineering or closely related product development experience., • Demonstrated experience leading packaging design, development, verification, validation, implementation, and lifecycle activities., • Experience leading cross-functional technical projects and resolving complex engineering problems., • Experience developing packaging for complex products, equipment, hardware systems, or regulated products. Preferred • Experience in the medical device, pharmaceutical, diagnostics, or other regulated industry., • Experience supporting electromechanical medical devices, capital equipment, dispensing systems, or healthcare hardware., • Experience with transportation and distribution testing, package qualification, and environmental conditioning., • Experience supporting global product launches, sustaining engineering, remediation programs, manufacturing transfers, and supplier management., • Experience with service-part, accessory, or field-retrofit-kit packaging. Knowledge, Skills, and Abilities • Strong knowledge of packaging engineering principles, protective packaging methods, packaging materials, and distribution environments., • Working knowledge of recognized package testing practices and relevant ASTM and ISTA test methods., • Knowledge of medical device design controls, risk management, verification and validation, change control, and quality system requirements., • Ability to create and review packaging drawings, specifications, bills of material, test protocols, reports, and technical assessments., • Experience with packaging design or CAD tools such as ArtiosCAD, AutoCAD, or SolidWorks., • Proficiency in statistical analysis, test planning, root cause analysis, tolerance assessment, and data-driven decision making., • Strong project leadership, organization, written communication, and stakeholder management skills., • Ability to influence decisions, manage competing priorities, and work effectively across global and cross-functional teams., • Ability to communicate technical information clearly to engineering, quality, regulatory, operations, service, suppliers, and leadership. Compensation: The hourly rate for this position is between $83.00-$86.00 per hour. Factors which may affect starting pay within this range may include [geography/market, skills, education, experience and other qualifications of the successful candidate]. \nCompany Description Founded in 1990, Sunrise Systems is an award winning IT/Professional Staffing firm to Fortune 500 and State/Local Government Agencies. Founded in 1990, Sunrise Systems is an award winning IT/Professional Staffing firm to Fortune 500 and State/Local Government Agencies.

Job Description Employment Details: • Recognized Civil Infrastructure Consulting firm in the US & Canada, • 100% employee owned, • Full Benefits: Health, Vision, Dental, and 401K match, • Sign on bonus opporunity, • Paid OT and Annual Performance Bonus Responsibilities: • Perform engineering work in water and wastewater treatment plants, conveyance, and infrastructure projects, • Work on engineering planning and design projects, • Prepare reports, develop plans, and specifications, • Prepare cost estimates for various water and wastewater projects, • Conduct hydraulic and hydrologic modeling, • Permitting and preparation of technical memoranda, reports, and electronic deliverables, • Data entry and analysis, • Provide engineering services during construction, • Participate in field activities such as pilot testing Qualifications: • Bachelor’s degree in civil or environmental Engineering, • Registration as a Professional Engineer, • 5 to 10 years of experience in water and wastewater treatment plants (WTP/WWTP) and conveyance, • Experience with large diameter potable water or wastewater pipelines, • Strong design / design review experience of Water/Wastewater Conveyance or treatment plants for municipal clients, • Master’s degree in Civil or Environmental Engineering (+)

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Autonomous Pilot Integration team for expeditionary platforms builds autonomy solutions for V-BAT — an unmanned aircraft operating in expeditionary environments for ISR, target acquisition, communications, and multi-agent missions. The team also builds autonomy for X-BAT, a new platform under development by the aircraft team; for X-BAT, the team builds on top of the existing mission autonomy solution from the Strategic Systems (ACP) portfolio and works closely with the aircraft team on the flight-autonomy interface. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK to develop the autonomy software that runs on these platforms, then integrate, validate, and field it on the real hardware — for U.S. and international defense customers. In this role, you'll develop new autonomy capabilities — including mission behaviors, platform-specific control (including VTOL transitions), multi-agent coordination, contingencies, and executive autonomy — and own major features from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live flight test. You'll partner closely with the Aircraft team, Autonomy Capabilities, Perception, GCS, feature crews, and customer stakeholders to deliver mission-ready autonomy software and solve complex integration challenges. As a senior engineer, you'll provide technical leadership across major capabilities, mentor teammates, influence architecture and integration strategy, and help drive successful field deployments for both mature and emerging expeditionary platforms. This team has a strong fielded-operator culture — long-endurance ISR missions, customer-driven workflow iteration, and demanding live exercises across multiple U.S. and international services. It's a hands-on role for engineers who want to see their software operate on real aircraft and directly support operators in the field. What You'll Do: Develop & Field Autonomy – Develop and integrate autonomy software for V-BAT and X-BAT, including mission behaviors, platform-specific control, payload and sensor integration (e.g., ViDAR, EO/IR), multi-agent coordination, contingencies, and executive autonomy. Own major features from software-in-the-loop through live flight testing. Aircraft Team Partnership – Collaborate closely with the Aircraft team to integrate autonomy capabilities, validate platform interfaces, coordinate hardware/software compatibility, and support release readiness. Collaboration Across Teams & Partners – Partner with the Autonomy Capabilities, Perception, GCS, Strategic Systems (ACP), feature crews, and customer stakeholders to deliver integrated mission capabilities. Technical Leadership – Own significant features or subsystems, drive technical execution, mentor teammates, and contribute to design reviews and integration planning. Pre-deployment Preparation – Build, configure, validate, and prepare mission-ready systems while ensuring software, hardware, and operator workflows are ready for deployment. On-site Test & Mission Support – Support flight tests, customer demonstrations, operator training, and deployment events through system bring-up, troubleshooting, and mission execution. Hardware/Software Debugging – Diagnose integration issues across autonomy software, payload computers, embedded systems, and platform interfaces using simulation and operational testing. Mission Data & Continuous Improvement – Analyze mission data, drive root-cause analysis, and build tools and processes that improve integration efficiency and mission reliability. C2 Interoperability & Standards – Implement and validate interfaces with GCS and command-and-control systems while supporting compliance with STANAG 4586, UCI, and OMS. Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises. Required Qualifications: BS/MS in Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, or equivalent practical experience. 5+ years of relevant experience (or equivalent advanced degree experience). Strong C++ development experience in real-time or embedded systems. Experience with Linux-based development and embedded systems. Experience integrating complex software systems and troubleshooting across hardware/software boundaries. Experience supporting system integration, testing, or field events. Ability to obtain a SECRET clearance. Preferred Qualifications: Experience with unmanned aircraft or autonomous systems. Experience with autonomy software, robotics, or vehicle control. Experience with payload or sensor integration. Python, Docker, CMake/Conan, or CI/CD experience. Experience with military test events or defense customers. #LI-ED1 #LC Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Autonomous Pilot Integration team for expeditionary platforms builds autonomy solutions for V-BAT — an unmanned aircraft operating in expeditionary environments for ISR, target acquisition, communications, and multi-agent missions. The team also builds autonomy for X-BAT, a new platform under development by the aircraft team; for X-BAT, the team builds on top of the existing mission autonomy solution from the Strategic Systems (ACP) portfolio and works closely with the aircraft team on the flight-autonomy interface. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK to develop the autonomy software that runs on these platforms, then integrate, validate, and field it on the real hardware — for U.S. and international defense customers. In this role, you'll own the technical direction for the Expeditionary portfolio, driving the evolution of autonomy architecture across V-BAT and X-BAT while ensuring scalable, mission-ready solutions that support current operators and future platforms. You'll define long-term technical strategy, solve the organization's most complex integration challenges, and influence the direction of autonomy software spanning mission behaviors, platform interfaces, payload integration, executive autonomy, and multi-agent operations. You'll partner closely with the Aircraft team, Autonomy Capabilities, Perception, GCS, Strategic Systems (ACP), engineering leadership, customer/program offices, and operational users to ensure Expeditionary autonomy continues to evolve while remaining reliable in operational environments. What You'll Do: Technical Strategy & Portfolio Leadership – Define and drive the long-term technical direction for Expeditionary autonomy across V-BAT, X-BAT, and future platforms. Develop & Field Autonomy – Guide development of mission autonomy, payload integration, flight-autonomy interfaces, executive autonomy, and multi-agent capabilities while ensuring successful operational deployment. Aircraft Team Partnership – Establish long-term technical strategy with the Aircraft team for platform integration, interface evolution, and mission readiness. Cross-Engineering Leadership – Influence architecture across the Autonomy Capabilities, Perception, GCS, Strategic Systems (ACP), Aircraft, and customer organizations. Subject Matter Expertise – Serve as the organization's technical expert for complex autonomy integration challenges spanning software, hardware, and operations. Design & Engineering Excellence – Lead architecture reviews, engineering standards, interface definitions, and organization-wide technical improvements. Mentorship & Organizational Growth – Mentor senior engineers, develop technical leaders, contribute to leveling frameworks, and partner on senior hiring. Mission Readiness & Operational Excellence – Guide customer releases, deployment strategy, and mission validation while supporting critical operational events. Continuous Improvement – Drive long-term improvements to engineering processes, integration workflows, testing infrastructure, and developer experience. C2 Interoperability & Open Systems – Define technical strategy for command-and-control interoperability and adoption of open-systems standards. Hiring & Developing Technical Talent – Define the technical hiring bar for senior engineering roles, partner with engineering managers on long-term staffing strategy, and help grow the organization's technical capabilities. Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises. Required Qualifications: BS/MS in a relevant engineering discipline or equivalent experience. 10+ years of relevant experience. Expert-level C++ and Linux systems development experience. Demonstrated experience defining technical strategy across multiple engineering teams or programs. Proven track record influencing architecture and solving highly complex systems integration challenges. Experience mentoring senior engineers and driving engineering excellence. Ability to obtain a SECRET clearance. Preferred Qualifications: Extensive experience with Group 3 UAS, VTOL platforms, or comparable autonomous systems. Experience defining flight-autonomy interfaces or custom autopilot integrations. Experience deploying autonomy to operational military systems. Experience with international defense customers. Experience with STANAG 4586, UCI, OMS, and open-systems architectures. Experience shaping engineering practices across an organization. #LI-ED1 #LE Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Kraus Hamdani Aerospace (KHA) is an aerospace company specializing in long-endurance unmanned aerial platforms for a wide variety of industries. KHA supports a number of customers to carry out missions involving aerial reconnaissance, survey, communication relay and communications provisioning. Endurance, enabled by effective design, is key to these applications and KHA aircraft utilize cutting-edge aircraft design together with on-board intelligence to deliver value for these customers. This position reports directly to the Manager of Training and Standardization . The ideal person for this role possesses a deep operational expertise in (s)UAS flight operations, standardization, curriculum development and project management.What This role serves as a senior pilot for operational procedures, flight area oversight, and technical integration. The ideal candidate would be experienced in cross-functional engagement, engineering collaboration, flight test support, procedural standardization, interpersonal communication, fundamentals of instruction, team leadership principals, and in creating safe, compliant, mission-ready, staff and operations. CORE COMPETENCIES UAS Flight Operations Leadership Operational Standardization & Audits Risk Management & Safety Programs Site Management & Flight Area Oversight Engineering & Flight Test Coordination Mission Planning & Briefing Technical Publications Review Knowledge of Emerging UAS Technologies and current market landscape RESPONSIBILITIES The following job functions are a basic requirement but are not limited to and may be assigned other duties. UAS Operations Maintain proficiency and currency with all of KHA's emerging UAS technologies, regulatory changes, and operational best practices. Hold and maintain all required certifications Adhere to FAA regulations and guidelines, ensuring compliance during UAS operations and activities. Including but not limited to FAA Part 107, DOE Orders, restricted airspace protocols, and site procedures. Support demonstrations, field missions, customer operations, collaborative experimentation and equipment testing. Examples of UAS operational duties include. Delivering near real-time aerial intelligence, integrating UAS data into customer systems, flight operations drills, and emergencies. Assist with flight planning, pre/post-flight checks, risk assessments, and maintaining accurate maintenance and flight logs. Perform routine maintenance, diagnostics, and software updates on UAS platforms and ground control systems. Maintenance of your own personal flight records, active participation in training exercises, and maintain individual currency requirements. Adhere to Integrated Safety Management (including SP 1-3100), attend required meetings, and maintain a clean, organized UAS hangar. Travel up to 70%. Standardization & Evaluation Support Serve as a senior pilot authority for operational standards, flight procedures, and safety compliance. Conduct periodic audits of flight areas to ensure adherence to company and regulatory requirements. Develop, maintain, and standardize operational documentation and mission procedures. Manage revision control for risk assessments, mission briefs, and operations guidance. Lead or support updates to training content, instructional methods, and delivery standards. Provide data-driven recommendations to the Standardization & Training Manager to enhance operational performance Subject Matter Expert Support Work cross-departmentally with key stakeholders to stay current on emerging technologies and configuration updates. Act as pilot subject matter expert for engineering, providing operational insight on new technologies and system capabilities. Serve as lead liaison for engineering flight test requests, coordinating operational support and risk mitigation. Collaborate with technical publications teams to assist in accuracy and operational relevance of pilot-facing documentation. Assumes all other responsibilities as assigned REQUIRED QUALIFICATIONS Minimum 4 years of directly related experience Deep understanding and proficiency Defense related UAS products Strong attention to detail with strict adherence to operational and safety protocols Experience in conducting demonstrations, field operations, Initial qualification training and evaluations, curriculum development, and equipment testing Knowledge of UAS technology, airspace regulations, and industry best practices Excellent communication and instructional skills, with the ability to effectively convey complex concepts to trainees Strong troubleshooting and problem‑solving skills in UAS operations Ability to work independently and collaboratively in a dynamic team environment PREFERRED QUALIFICATIONS Military Experience FAA Part 107 SUAS Remote Pilot FAA Part 61 Pilot 5+ years of directly related experience Secret Clearance (or eligible) Kraus Hamdani Aerospace, Inc. ("Company") collects and uses Personal Information (as defined by the California Consumer Privacy Act of 2018 ("CCPA")) for human resources, employment, health and safety, and business-related purposes and to be in legal compliance. For more information, please read the full notice. If you are an EU applicant, by sharing your personal information with Kraus Hamdani Aerospace, Inc. you hereby (a) acknowledge and consent to the international transfer of your personal information to the United States, despite the risks associated due to the absence of an adequacy decision and appropriate safeguards, and (b) acknowledge that you have carefully read and understood this notice. EEO Statement Kraus Hamdani Aerospace is committed to providing Equal Opportunity in Employment, to all applicants and employees regardless of, race, color, religion, gender, age, national origin, military status, veteran status, handicap, physical or mental disability, sexual orientation, gender identity, genetic information or any other characteristic protected by law.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Autonomous Pilot Integration team for launched effects builds autonomy solutions for small, often air- or ground-launched platforms that operate in multi-agent fleets and frequently in disconnected or air-gapped environments. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on launched effects platforms, then integrate, validate, and field it on the real hardware—for U.S. and international defense customers. Our engineers write new autonomy code—such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy—and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. In this role, you'll develop and integrate autonomy capabilities for launched effects platforms, owning major features from design through operational deployment. You'll work closely with the Autonomy Capabilities and Perception teams, feature crews, autopilot vendors (e.g., PX4, ArduPilot), C2 providers, and customer partners to deliver mission-ready autonomy software. This is a hands-on role for engineers who enjoy solving challenging integration problems and seeing their software operate in demanding real-world environments. What You'll Do: Develop & Field Autonomy – Develop and integrate autonomy software solutions onto launched effects platforms, including payload computer bring-up, autopilot integration (e.g., PX4, ArduPilot), multi-agent coordination, and deployment to disconnected or air-gapped environments. Own major features from software-in-the-loop through live flight testing and operational deployment. Technical Leadership – Own major features or subsystems; drive technical execution, contribute to design decisions, mentor teammates, and help deliver complex autonomy capabilities. Collaboration Across Teams & Partners – Partner closely with the Autonomy Capabilities team (motion planning, tactics), the Perception team, feature crews, autopilot vendors (e.g., PX4, ArduPilot), C2 providers, and customer/contractor partners to deliver integrated autonomy capabilities. Design & Documentation – Contribute to design reviews, ICDs, integration planning, and post-mortems while helping improve engineering rigor and cross-team execution. Pre-deployment Preparation – Build, configure, and validate mission-ready systems for Capability Releases and fleet-scale deployments; coordinate hardware/software compatibility, mission readiness, and release readiness across engineering teams. On-site Test & Mission Support – Travel to test sites, customer exercises, and live demonstrations to support flight operations, system bring-up, troubleshooting, and mission execution under operational timelines. Hardware/Software Debugging – Diagnose and resolve integration issues across autonomy software, payload computers, embedded systems, and platform interfaces using simulation, laboratory testing, and operational data. Mission Data & Debrief Support – Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to rapidly drive improvements into future releases. Continuous Improvement – Develop tools and processes that improve integration timelines, testing reliability, deployment efficiency, and mission readiness. C2 Interoperability & Standards – Implement and validate interfaces with C2 providers while supporting compliance with common message and open-systems standards (e.g., UCI, OMS, MOSA, WOSA, TAK/CoT). Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises. Required Qualifications: BS/MS in Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, or equivalent practical experience. Typically requires 5+ years of relevant experience (or equivalent advanced degree experience). Strong proficiency in C++ and experience developing or integrating real-time or embedded systems. Experience with Linux-based development and embedded systems. Experience integrating complex software and hardware systems. Experience supporting system integration, testing, or field events. Ability to obtain a SECRET clearance. Preferred Qualifications: Experience with launched effects, unmanned systems, or autonomous platforms. Experience with PX4, ArduPilot, or comparable autopilot stacks. Experience with multi-agent autonomy. Python, Docker, CMake/Conan, or CI/CD experience. Experience supporting military field exercises or defense customers. #LI-ED1 #LC Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job DescriptIon: As an Software Engineer II on the HMS Factory Team, you will help build and maintain automated testing, log-analysis, and scenario-generation tools that support the Hivemind Platform (HMP). You will work with experienced software, autonomy, and systems engineers to help teams evaluate AI Pilot behaviors through repeatable simulation testing and data-driven performance analysis. This is a hands-on engineering role for an early-career developer interested in autonomy, simulation, software test infrastructure, data analysis, and distributed systems. You will contribute Python-based tooling, test automation scripts, analysis utilities, and documentation that help autonomy and systems developers run tests, understand simulation results, and identify software issues. You will also gain exposure to secure and commercial development environments, build and dependency-management workflows, containerized infrastructure, and distributed test orchestration. Under guidance from senior engineers, you will help improve the reliability, usability, and scalability of the team’s testing and analysis ecosystem. What you'll do: • Develop, test, and maintain Python scripts and libraries used to analyze simulation data, extract log information, and calculate basic mission or system-performance metrics., • Support the development of analysis tools that process simulation outputs, telemetry, rosbags, and other test artifacts., • Help build and maintain automated test workflows and wrappers around HMS Forge and other internal test-orchestration tools., • Assist with developing program-specific test adapters, configuration files, and automation utilities in Python and, when needed, C++., • Contribute to programmatic scenario-generation tools that create varied simulation conditions for testing autonomy behaviors., • Write and maintain domain-randomization scripts that vary environmental, vehicle, sensor, mission, or operational parameters across test runs., • Investigate test failures and simulation issues by reviewing logs, configuration files, telemetry, rosbags, network captures, and automated test results., • Help improve repeatability and consistency in simulation testing by maintaining reusable test templates, common analysis utilities, and standardized reporting outputs., • Assist with containerized development and testing environments using tools such as Docker, Kubernetes, and related infrastructure tooling., • Contribute to prototype configurations for distributed testing and batch simulation runs, including Terraform, Kubernetes manifests, or similar deployment configurations., • Help maintain stable development workflows by supporting source-control practices, dependency updates, CI/CD pipelines, and software build troubleshooting., • Create clear developer documentation, setup guides, API references, example workflows, and workspace templates for engineers using automated simulation-test tools., • Participate in code reviews, design discussions, test reviews, and collaborative debugging sessions with autonomy, simulation, platform, and program teams.Required qualifications:, • Master’s degree in Computer Science, Computer Engineering, Aerospace Engineering, Systems Engineering, or a related technical discipline; equivalent practical experience may be considered., • Foundational software-development experience in Python gained through coursework, internships, research, personal projects, or professional experience., • Familiarity with Python scripting, automation, and data processing. Experience with libraries such as NumPy, Pandas, matplotlib, or similar tools is helpful., • Familiarity with Linux development environments, including command-line tools, basic shell scripting, software installation, and debugging., • Understanding of core software-engineering practices, including Git-based version control, code review, automated testing, and debugging., • Familiarity with structured data formats and APIs, such as JSON, YAML, CSV, REST APIs, or command-line interfaces., • Exposure to automated testing, CI/CD systems, simulation environments, robotics, autonomy, data pipelines, or developer tooling., • Basic understanding of container concepts and tools such as Docker, Podman, or Kubernetes., • Strong technical problem-solving skills, attention to detail, and a willingness to learn in a fast-moving, collaborative engineering environment., • Ability to obtain and maintain an active U.S. SECRET security clearance; U.S. citizenship is required.Preferred qualifications:, • Internship, academic project, research, or personal-project experience involving autonomous systems, robotics, simulation, software testing, data analysis, or distributed computing., • Experience creating Python-based data-analysis workflows using NumPy, Pandas, SciPy, matplotlib, Plotly, or similar libraries., • Exposure to continuous-integration systems such as GitHub Actions, GitLab CI, Jenkins, Buildkite, or similar tools., • Familiarity with test frameworks such as pytest, unittest, GoogleTest, Robot Framework, or similar tools., • Experience working with containers using Docker or Podman, including writing Dockerfiles and running local containerized applications., • Exposure to Kubernetes, Terraform, Helm, or other infrastructure-as-code and container-orchestration tools., • Familiarity with ROS, ROS 2, rosbag files, telemetry formats, robotics middleware, network diagnostics, or simulation logs., • Familiarity with distributed compute frameworks or container orchestration tools is highly preferred., • Familiarity with Python-based distributed-computing concepts and large-scale simulation workloads; exposure to Ray, task or actor-based parallelism, Monte Carlo testing, parameter sweeps, and Design of Experiments (DOE) is preferred., • Experience creating Python-based data-analysis workflows using NumPy, Pandas, SciPy, matplotlib, Plotly, or similar libraries., • Experience using Linux debugging and observability tools, such as grep, jq, tail, journalctl, tcpdump, Wireshark, or Python logging., • Interest in generative AI, AI-assisted software development, agentic workflows, automated analysis, or developer productivity tooling. #LI-LD1 #LB Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and aircraft systems, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. Shield AI is seeking a senior, hands-on UxS Integration and Systems Expert to help ensure Hivemind can be developed, tested, demonstrated, and supported on representative unmanned systems with confidence. This role sits at the intersection of autonomy software, unmanned aircraft and robotic systems, onboard compute, networking, radios, sensors, flight controllers, simulation, test operations, and customer-facing demonstrations. This is a senior technical leadership role for someone who is both a builder and an operator. The right candidate can move comfortably from architecture discussions to benchtop integration, from lab troubleshooting to field execution, and from platform evaluation to clear recommendations for engineering, test, product, and operations leaders. You will serve as a trusted systems-integration authority for Hivemind test and demonstration hardware. You will help teams select and prepare representative platforms, understand integration tradeoffs, improve test readiness, diagnose cross-disciplinary issues, and translate lessons from real hardware into better engineering, test, and operational practice. The role requires strong judgment, calm execution under pressure, and the ability to bring structure to ambiguous technical environments without overfitting to a single platform or workflow. What you'll do: • Serve as a senior technical focal point for Hivemind integration and test readiness across unmanned aircraft, robotic systems, representative test vehicles, onboard compute, radios, sensors, payloads, and supporting ground equipment., • Lead hands-on integration and troubleshooting efforts that span autonomy software, hardware, flight controllers, communications systems, networking, operator interfaces, and field operations., • Partner with engineering, test, product, operations, field, and customer-facing teams to evaluate new platforms and determine how they can best support Hivemind development, validation, training, demonstrations, and customer objectives., • Help take systems from early concept or benchtop integration through representative test, field execution, and operationally relevant demonstrations., • Provide senior-level technical judgment on platform suitability, integration complexity, test readiness, risk, safety, maintainability, cost, availability, and customer value., • Support test planning and execution across simulated, hardware-in-the-loop, live-vehicle, and flight-test environments while keeping the role focused on practical system readiness and evidence quality., • Help define clear readiness criteria, test expectations, operating assumptions, and handoff points for representative hardware used by Hivemind teams., • Diagnose complex cross-disciplinary issues and help route them effectively across software, autonomy, hardware, flight-test, networking, and operations stakeholders., • Contribute to test methods, metrics, and evidence practices that improve confidence in Hivemind behavior across representative and real-world environments., • Support automation, tooling, and data-review practices that improve repeatability, reduce manual burden, and make hardware-based testing easier to operate at scale., • Capture and share practical knowledge from platform bring-up, test events, flight operations, and customer-facing demonstrations so teams can reuse lessons learned., • Mentor engineers and operators on systems integration, hardware readiness, field troubleshooting, test discipline, and practical autonomy test execution. Projects you might work on:, • Evaluating a new unmanned aircraft, ground robot, customer-selected platform, or lab setup for suitability as a Hivemind development, test, training, or demonstration asset., • Leading technical preparation for a Hivemind test event or customer demonstration that depends on representative hardware, onboard compute, communications, sensors, and operator workflows., • Advising a program team on the right level of platform fidelity needed for a pilot effort, internal test campaign, or customer-facing technical engagement., • Supporting integration between Hivemind and flight-control systems, onboard compute, sensors, payloads, radios, ground-control equipment, or simulation environments., • Helping a test team define practical readiness criteria, test coverage, data-review expectations, and evidence standards for hardware-based autonomy validation., • Working with engineering and operations leaders to turn lessons from field or lab execution into reusable guidance, training, and better test practices. Required qualifications:, • 10+ years of experience in UxS or UAS systems integration, robotics hardware integration, autonomy test operations, flight test, field engineering, embedded systems, or similar hands-on technical roles., • Demonstrated experience leading complex integration efforts across hardware, software, autonomy, networking, communications, sensors, and operational test environments., • Strong practical experience bringing up, configuring, operating, and troubleshooting unmanned systems, onboard compute, flight controllers, radios, sensors, ground stations, and supporting test equipment., • Working knowledge of Linux, embedded systems, networking, system configuration, data collection, logs, services, and field diagnostics., • Experience with unmanned-systems autopilot or flight-control ecosystems such as PX4, ArduPilot, MAVLink, Pixhawk/Cube-class flight controllers, QGroundControl, Mission Planner, or equivalent systems., • Experience supporting testing across simulation, hardware-in-the-loop, live-vehicle, field, or flight-test environments., • Ability to develop and communicate test plans, readiness criteria, operating assumptions, technical recommendations, and post-test findings for cross-functional audiences., • Strong analytical, problem-solving, and debugging skills across ambiguous, cross-disciplinary technical issues., • Ability to lead through influence across engineering, test, product, operations, field, and customer-facing teams., • Familiarity with scripting, automation, or data-analysis workflows using Python, Bash, MATLAB, or similar tools., • Strong ownership, urgency, and judgment in fast-moving environments where requirements, platforms, and constraints may evolve quickly., • Ability to comply with export-control, safety, security, customer-site, and mission-specific operating requirements., • Ability to obtain and maintain a Secret security clearance; U.S. citizenship required. Preferred qualifications:, • Experience with Hivemind, autonomy SDKs, autonomous aircraft systems, robotics middleware, simulation infrastructure, or edge-deployed autonomy software., • Hands-on experience with NVIDIA Jetson, embedded Linux, systemd services, containerized deployment, device provisioning, and field update workflows., • Experience with RF/radio setup, mesh networking, tactical datalinks, software-defined radios, or communications-degraded test scenarios., • Experience supporting flight test, range operations, customer trials, operational rehearsals, or complex demonstrations., • Experience integrating EO/IR cameras, gimbals, lidar, GPS/GNSS, IMUs, payloads, or perception sensors., • Experience contributing to test automation, regression frameworks, data validation, performance benchmarking, or CI/CD-integrated test workflows., • Familiarity with C++ for debugging, interface review, or collaboration with software engineering teams., • FAA Part 107, private pilot license, military UAS, aviation maintenance, flight-test, or range-safety experience., • Experience defining reference configurations, hardware baselines, supported configurations, or setup guidance for internal and external users., • Active Secret clearance or higher. #LI-KC3 #LE Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Deep Science Ventures is seeking an exceptional formulation chemist to join the team of a new venture at the intersection of crop nutrition and weed control. This is a deeply hands-on role: You will take ownership of a critical part of the technology, developing the formulation and coating system required to translate the underlying biology into a scalable, commercially viable agricultural product. You will design the formulation strategy and personally execute experimental work in the lab, taking the technology from early formulation development through to pilot scale. Depending on your experience, leadership ambition and fit with the founding team, the role could develop as Technical Co-Founder (c-suite), with responsibility for the company's broader technical strategy, or as a founding Formulation Chemist/Lead Scientist working alongside the c-suite. The venture is targeting incorporation and spin-out in early Q2 2027, with pre-seed (incorporation) investment and ongoing support from Deep Science Ventures and the Grantham Foundation. The role is full-time and will require an on-site presence in San Diego, California as the company's laboratory capability is established. The Venture A combination of legislation and weed resistance is giving farmers an ever-diminishing herbicide tool kit. Legacy chemical herbicides have been shown to be toxic to human health and the environment. Meanwhile, farmers are spending thousands of dollars per year on inefficient crop nutrition with at best 50% of what is administered benefiting the crop. The remainder is polluting our water systems or feeding weeds that compete with the crop for nutrients. Thus weeds are costing farmers twice - on wasted nutrients and on herbicides. We are building a solution to address this paradox, with a technology that delivers nutrients exclusively to crops. It is designed for compatibility with existing farming practices, thereby enabling large scale impact via both increased nutrient use efficiency for yield and weed starvation to lower herbicide demands. You’ll build the company alongside Dr. James Pearce, an experienced ag-biotech R&D leader with 20+ years spanning startups and global crop-science companies. He has held senior roles including CSO at Boost Biomes and VP Research at CH4 Global, alongside earlier leadership roles at Monsanto/Bayer, Cibus and Syngenta. His experience spans microbial crop inputs, biologicals, field trials, bioprocess scale-up, regulatory and IP strategy, and strategic partnerships. Requirements You’re motivated by ambitious, unsolved challenges and the opportunity to challenge the status quo in agrochemicals. You’re entrepreneurial, impact-driven and comfortable taking initiative in ambiguous, fast-moving environments, using first-principles thinking to figure out what’s really needed. You collaborate with patience and an open mind, and are willing to go where the company needs you most as the venture evolves. Technical Experience: • PhD or equivalent technical depth in Chemistry, Materials Science, Polymer Science, Biochemistry or a related discipline;, • Significant industry R&D experience developing formulations or coatings from bench towards pilot scale;, • Deep expertise in controlled-release formulation/coating systems, ideally involving fertilisers, agricultural inputs or another relevant controlled-release application;, • Hands-on experience with fluid-bed coating or closely analogous coating processes;, • Strong understanding of film properties, coating integrity and dissolution/release kinetics;, • Experience working with biopolymers or polymer modification and characterisation; experience with esterification, degree-of-substitution control, NMR and titration is particularly relevant;, • Experience applying formal Design of Experiments (DoE) to multi-parameter formulation or coating optimisation, using tools such as JMP, Design-Expert, Minitab or R;, • Experience considering scale-up, manufacturability and cost-of-goods alongside technical performance;, • Experience with enzyme-substrate interactions and kinetics, microbial formulations, fertiliser coatings or other biological/chemical interfaces would be particularly valuable. Track record: For candidates interested in taking on the broader Technical Co-Founder (c-suite) role, we're additionally looking for experience in/the ability to: • Set technical strategy and prioritise the experiments that most rapidly de-risk the company;, • Build and lead multidisciplinary R&D teams;, • Make pragmatic decisions about technical risk, resources and capital allocation;, • Own technical elements of fundraising, partnerships and investor diligence;, • Develop and protect the company's IP position;, • Communicate complex science clearly to investors, commercial partners and other non-specialists;, • Operate with the ownership, adaptability and resilience required of a founder. Responsibilities You will own formulation development and help translate the technology from the bench towards a scalable agricultural product. Depending on expertise, you will: • Define the fertiliser formulation and coating strategy and personally execute experimental work at the bench;, • Design and iterate coating systems based on release kinetics, biological performance, manufacturability and cost of goods;, • Take formulations from bench towards pilot scale, identifying the critical technical and scale-up risks along the way;, • Define product specifications that are technically robust and commercially viable;, • Design rigorous experiments and use DoE/data-driven approaches to optimise multi-parameter formulation systems;, • Establish the chemistry capability within a shared laboratory, including selecting equipment, reagents and experimental infrastructure;, • Identify patentable inventions and contribute to the development of the company's IP strategy;, • Represent the technology credibly with external technical partners, investors and the wider Ag Biotech community;, • As the team grows, help recruit, mentor and lead additional technical talent. Benefits The setup The venture spins out with £250k in inception capital from DSV and the Grantham Foundation. The founding team will collectively hold a majority equity stake in the company, and salary is negotiated as part of the spin-out. Post-launch, DSV provides continuous portfolio support - fundraising, partnerships, recruitment. The role is full-time and will require an on-site presence in San Diego, California as the laboratory is established. Candidates must be authorised to work full-time in the US. For an exceptional candidate with the breadth and ambition to join as a Technical Co-Founder, founder-level equity and leadership responsibility will reflect that role. About DSV Deep Science Ventures (DSV) is on a mission to create a future in which both humans and the planet can thrive. We use our unique venture creation process to create, spin-out, and invest in science companies, combining available scientific knowledge and founder-type scientists into high-impact ventures. Operating in four sectors—Pharmaceuticals, Climate, Agriculture, and Computation—we tackle the challenges defining these areas by taking a first principles approach and partnering with leading institutions. About Grantham The Grantham Foundation for the Protection of the Environment was established in 1997 by Jeremy and Hannelore Grantham. Jeremy is co-founder and Chairman of investment management firm GMO, LLC. Jeremy was elected a member of the American Academy of Arts and Sciences in 2015, was appointed Commander of the Order of the British Empire (CBE) in 2016, and received with Hannelore the Carnegie Medal for Philanthropy in 2017, all for leadership in climate change activities.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: As an Software Engineer I on the HMS Factory Team, you will help build and maintain automated testing, log-analysis, and scenario-generation tools that support the Hivemind Platform (HMP). You will work with experienced software, autonomy, and systems engineers to help teams evaluate AI Pilot behaviors through repeatable simulation testing and data-driven performance analysis. This is a hands-on engineering role for an early-career developer interested in autonomy, simulation, software test infrastructure, data analysis, and distributed systems. You will contribute Python-based tooling, test automation scripts, analysis utilities, and documentation that help autonomy and systems developers run tests, understand simulation results, and identify software issues. You will also gain exposure to secure and commercial development environments, build and dependency-management workflows, containerized infrastructure, and distributed test orchestration. Under guidance from senior engineers, you will help improve the reliability, usability, and scalability of the team’s testing and analysis ecosystem. What you'll do: • Develop, test, and maintain Python scripts and libraries used to analyze simulation data, extract log information, and calculate basic mission or system-performance metrics., • Support the development of analysis tools that process simulation outputs, telemetry, rosbags, and other test artifacts., • Help build and maintain automated test workflows and wrappers around HMS Forge and other internal test-orchestration tools., • Assist with developing program-specific test adapters, configuration files, and automation utilities in Python and, when needed, C++., • Contribute to programmatic scenario-generation tools that create varied simulation conditions for testing autonomy behaviors., • Write and maintain domain-randomization scripts that vary environmental, vehicle, sensor, mission, or operational parameters across test runs., • Investigate test failures and simulation issues by reviewing logs, configuration files, telemetry, rosbags, network captures, and automated test results., • Help improve repeatability and consistency in simulation testing by maintaining reusable test templates, common analysis utilities, and standardized reporting outputs., • Assist with containerized development and testing environments using tools such as Docker, Kubernetes, and related infrastructure tooling., • Contribute to prototype configurations for distributed testing and batch simulation runs, including Terraform, Kubernetes manifests, or similar deployment configurations., • Help maintain stable development workflows by supporting source-control practices, dependency updates, CI/CD pipelines, and software build troubleshooting., • Create clear developer documentation, setup guides, API references, example workflows, and workspace templates for engineers using automated simulation-test tools., • Participate in code reviews, design discussions, test reviews, and collaborative debugging sessions with autonomy, simulation, platform, and program teams.Required qualifications:, • Bachelor’s degree in Computer Science, Computer Engineering, Aerospace Engineering, Systems Engineering, or a related technical discipline; equivalent practical experience may be considered., • Foundational software-development experience in Python gained through coursework, internships, research, personal projects, or professional experience., • Familiarity with Python scripting, automation, and data processing. Experience with libraries such as NumPy, Pandas, matplotlib, or similar tools is helpful., • Familiarity with Linux development environments, including command-line tools, basic shell scripting, software installation, and debugging., • Understanding of core software-engineering practices, including Git-based version control, code review, automated testing, and debugging., • Familiarity with structured data formats and APIs, such as JSON, YAML, CSV, REST APIs, or command-line interfaces., • Exposure to automated testing, CI/CD systems, simulation environments, robotics, autonomy, data pipelines, or developer tooling., • Basic understanding of container concepts and tools such as Docker, Podman, or Kubernetes., • Strong technical problem-solving skills, attention to detail, and a willingness to learn in a fast-moving, collaborative engineering environment., • Ability to obtain and maintain an active U.S. SECRET security clearance; U.S. citizenship is required.Preferred qualifications:, • Internship, academic project, research, or personal-project experience involving autonomous systems, robotics, simulation, software testing, data analysis, or distributed computing., • Experience creating Python-based data-analysis workflows using NumPy, Pandas, SciPy, matplotlib, Plotly, or similar libraries., • Exposure to continuous-integration systems such as GitHub Actions, GitLab CI, Jenkins, Buildkite, or similar tools., • Familiarity with test frameworks such as pytest, unittest, GoogleTest, Robot Framework, or similar tools., • Experience working with containers using Docker or Podman, including writing Dockerfiles and running local containerized applications., • Exposure to Kubernetes, Terraform, Helm, or other infrastructure-as-code and container-orchestration tools., • Familiarity with ROS, ROS 2, rosbag files, telemetry formats, robotics middleware, network diagnostics, or simulation logs., • Familiarity with distributed compute frameworks or container orchestration tools is highly preferred., • Familiarity with Python-based distributed-computing concepts and large-scale simulation workloads; exposure to Ray, task or actor-based parallelism, Monte Carlo testing, parameter sweeps, and Design of Experiments (DOE) is preferred., • Experience creating Python-based data-analysis workflows using NumPy, Pandas, SciPy, matplotlib, Plotly, or similar libraries., • Experience using Linux debugging and observability tools, such as grep, jq, tail, journalctl, tcpdump, Wireshark, or Python logging., • Interest in generative AI, AI-assisted software development, agentic workflows, automated analysis, or developer productivity tooling. #LI-LD1 #LA Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Autonomous Pilot Integration team for Emerging Domains builds autonomy solutions for new platforms and mission profiles outside Shield AI's established portfolios—including space (satellites, missile defense), maritime (USV and UUV integration), and contested logistics (unmanned helicopters and related autonomous resupply platforms). The team takes on short-term R&D and integration efforts—often standing up the first autonomy on a brand-new platform or mission—with the intent that successful efforts grow into larger, multi-year programs. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK—selectively leveraging existing Shield AI autonomy solutions where they apply—to develop autonomy that runs on these new platforms. Our engineers write new autonomy code—such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy—and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. In this role, you'll develop and integrate autonomy capabilities across a variety of emerging-domain platforms while helping establish autonomy on systems that often have no existing autonomy baseline. You'll work closely with platform teams, the Autonomy Capabilities, Perception, and GCS teams, feature crews, and customer stakeholders to solve complex integration challenges and deliver mission-ready autonomy software. This is a hands-on role for engineers who enjoy working across diverse platforms, solving ambiguous technical problems, and seeing new capabilities operate in real-world environments. What You'll Do: Stand Up New Capabilities – Help establish autonomy on new platforms and mission areas by integrating existing Shield AI capabilities with platform-specific software and developing new autonomy where needed. Develop & Field Autonomy – Develop and integrate autonomy software onto emerging-domain platforms, including platform and autopilot integration, payload and sensor integration, mission behaviors, multi-agent coordination, and validation through software-, hardware-, vehicle-, and live testing. Platform Team Partnerships – Partner closely with platform teams to integrate autonomy capabilities, validate interfaces, coordinate hardware/software compatibility, and support mission readiness. Collaboration Across Teams & Partners – Work with the Autonomy Capabilities, Perception, GCS teams, feature crews, and customer/program offices to deliver integrated autonomy solutions. Design & Documentation – Contribute to design reviews, ICDs, integration planning, and post-mortems while improving engineering rigor across teams. Pre-deployment Preparation – Build, configure, validate, and prepare mission-ready systems while coordinating release readiness with platform and capability teams. On-site Test & Mission Support – Support flight tests, maritime trials, ground testing, customer demonstrations, and operational exercises through system bring-up, troubleshooting, and mission execution. Hardware/Software Debugging – Diagnose and resolve integration issues across autonomy software, payload computers, embedded systems, and platform interfaces. Mission Data & Debrief Support – Capture mission data, reproduce issues in simulation, and partner with capability owners to rapidly improve future releases. Continuous Improvement – Develop tools and engineering processes that improve integration velocity, testing reliability, and mission readiness. C2 Interoperability & Standards – Implement and validate interfaces with command-and-control systems while supporting program-appropriate interoperability standards. Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises. Required Qualifications: BS/MS in a relevant engineering discipline or equivalent practical experience. Typically requires 5+ years of relevant experience. Strong proficiency in C++ and Linux-based development. Experience integrating embedded or real-time software systems. Experience supporting integration, testing, or operational field events. Strong systems-level problem-solving skills. Ability to obtain a SECRET clearance. Preferred Qualifications: Experience with autonomous aircraft, maritime systems, spacecraft, or robotics. Experience with autonomy software, autopilot integration, or robotics frameworks. Python, Docker, or CI/CD experience. Experience working in early-stage R&D or rapid prototyping environments. Experience supporting DoD customers or field demonstrations. #LI-ED1 #LC Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Staff UAS Flight Test Operator leads system-level flight test operations supporting Hivemind Mission Autonomy across small UAS and external platforms. As a member of the Hivemind Product Quality team, this role supports the Software Development Lifecycle (SDLC) for HivemindSDK by testing pre-release software and verifying its features, capabilities, and operational performance in representative laboratory and flight environments. The operator is responsible for the operational readiness, configuration, and safe operation of multi-rotor and fixed-wing UAS, payloads, ground control systems, and supporting test equipment; plans and conducts single- and multi-aircraft missions; supports fly–fix–fly campaigns; validates autonomy capabilities; identifies defects and usability issues; and provides actionable feedback to improve the quality and customer readiness of each release. What You’ll Do: Lead system-level flight test campaigns for Hivemind Mission Autonomy across multi-rotor, fixed-wing, and external UAS platforms, including day-to-day fly–fix–fly operations. Plan and conduct missions in accordance with approved test plans, test cards, configuration requirements, release criteria, and safety procedures. Operate, configure, inspect, and maintain UAS, payloads, ground control systems, communications equipment, and supporting test infrastructure across laboratory, ground, and flight-test environments. Test pre-release HivemindSDK versions by verifying features, integrations, autonomy capabilities, and performance against defined product and quality requirements. Develop and execute representative customer workflows and mission scenarios to assess SDK functionality, usability, reliability, and operational performance across aircraft types and multi-agent configurations. Document test results, defects, anomalies, regressions, and limitations; provide actionable feedback to product, software, systems, autonomy, and quality teams; and support issue reproduction, triage, and corrective-action verification. Lead operational risk assessments, crew briefings, ground checks, launch and recovery preparations, and post-flight debriefs while serving in designated leadership roles during test conduct. Monitor telemetry and system status, collect flight data, evaluate aircraft and autonomy behavior, and support initial anomaly investigation. Establish and maintain SOPs, test procedures, checklists, and operational standards; mentor flight test personnel; communicate test status and risks; and drive improvements in safety, efficiency, product quality, and customer readiness. Required Qualifications: 8+ years of experience operating, configuring, and maintaining Group 1/2 UAS platforms in test, military, commercial, or operational environments. Demonstrated experience leading complex UAS flight operations, including mission planning, test-card execution, crew briefings and debriefings, and real-time coordination in dynamic test environments. Strong knowledge of COTS UAS hardware, autopilot systems, payloads, ground control stations, communications systems, and supporting test equipment. Experience assessing operational readiness and maintaining configuration control across aircraft, payloads, software, communications equipment, personnel, and test infrastructure. Experience developing, implementing, and executing SOPs, checklists, risk assessments, hazard mitigations, and operational processes. Working knowledge of National Airspace System operations, airspace coordination, flight authorization requirements, and operational planning for complex UAS missions. FAA Part 107 Remote Pilot Certificate holder Preferred Qualifications: Experience supporting autonomy, AI-enabled systems, or developmental flight test programs, particularly multi-aircraft or distributed UAS operations. Experience supporting test progression across simulation, software-in-the-loop, hardware-in-the-loop, ground test, and flight test environments. Hands-on fabrication and integration experience involving mechanical assemblies, electrical systems, wiring harnesses, avionics, payloads, and supporting test equipment. Proficiency with ArduPilot, PX4, QGroundControl, and Mission Planner, with working knowledge of Linux, IP networking, MAVLink, ROS/ROS 2, or basic scripting. Military UAS operations or experience supporting DoD developmental testing, operational testing, customer demonstrations, or other formally controlled test programs. #LI-DS5 #LE Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Autonomous Pilot Integration team for Emerging Domains builds autonomy solutions for new platforms and mission profiles outside Shield AI's established portfolios—including space (satellites, missile defense), maritime (USV and UUV integration), and contested logistics (unmanned helicopters and related autonomous resupply platforms). The team takes on short-term R&D and integration efforts—often standing up the first autonomy on a brand-new platform or mission—with the intent that successful efforts grow into larger, multi-year programs. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK—selectively leveraging existing Shield AI autonomy solutions where they apply—to develop autonomy that runs on these new platforms. Our engineers write new autonomy code—such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy—and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. In this role, you'll define the technical direction for Emerging Domains, guiding autonomy strategy across multiple new platforms and mission areas while helping transform early-stage R&D efforts into scalable, long-term programs. You'll solve the organization's most complex technical challenges, influence engineering strategy across organizations, and partner with engineering leadership, platform teams, and customer stakeholders to shape the future of Shield AI's next generation of autonomy portfolios. What You'll Do: Stand Up New Programs – Define the technical strategy for establishing autonomy on entirely new platforms and mission areas, determining what should be built, reused, or extended from existing Shield AI capabilities. Navigate Ambiguity & Shifting Priorities – Lead engineering through evolving customer needs, changing priorities, and uncertain technical landscapes while maintaining execution and long-term technical vision. Technical Strategy & Portfolio Leadership – Define long-term technical direction across Emerging Domains, establishing architecture, integration strategies, and engineering patterns that enable successful transition from R&D to operational programs. Develop & Field Autonomy – Guide development and deployment of autonomy capabilities across space, maritime, contested logistics, and future emerging platforms while ensuring successful operational delivery. Platform Team Partnerships – Build deep technical partnerships with platform organizations and influence interface evolution, integration strategy, and long-term platform architecture. Collaboration Across Teams & Partners – Influence architecture across Autonomy Capabilities, Perception, GCS, platform teams, engineering leadership, customer organizations, and external partners. Design & Documentation – Lead architecture reviews, engineering standards, ICDs, and technical best practices across multiple organizations. Pre-deployment Preparation – Guide release strategy, mission validation, and operational readiness across multiple emerging programs. On-site Test & Mission Support – Provide senior technical leadership during critical demonstrations, operational exercises, and customer events where deep systems expertise is required. Hardware/Software Debugging – Lead resolution of the organization's most challenging autonomy integration problems spanning software, hardware, embedded systems, and platform interfaces. Mission Data & Debrief Support – Drive organizational learning from operational testing and shape future technical investments based on mission outcomes. Continuous Improvement – Drive long-term improvements to engineering processes, developer experience, testing infrastructure, and integration workflows across the Emerging Domains portfolio. C2 Interoperability & Standards – Define technical strategy for command-and-control interoperability and guide adoption of platform-appropriate open-systems standards across emerging programs. Grow R&D into Programs – Partner with engineering leadership and customers to evolve successful R&D efforts into scalable, long-term programs while helping shape technical strategy for future portfolios. Hiring & Developing Technical Talent – Help define the technical hiring bar for senior engineering roles, mentor future technical leaders, and partner with managers to grow organizational capability. Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises. Required Qualifications: BS/MS in a relevant engineering discipline or equivalent practical experience. Typically requires 10+ years of relevant experience. Expert-level C++ and Linux systems development experience. Demonstrated experience defining technical strategy across multiple programs or engineering organizations. Proven track record solving highly complex systems integration challenges in ambiguous environments. Experience mentoring senior engineers and influencing engineering direction without formal authority. Ability to obtain a SECRET clearance. Preferred Qualifications: Experience leading first-of-kind autonomy or advanced R&D efforts. Experience across multiple autonomy domains (air, maritime, space, ground, or robotics). Experience transitioning prototypes into operational systems. Experience with government R&D programs and defense customers. Experience shaping engineering practices across an organization. Experience with UCI, OMS, STANAG 4586, or other defense interoperability standards. #LI-ED1 #LE Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Autonomous Pilot Integration team builds autonomy solutions for a wide range of CONOPs and mission sets. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on an unmanned platform — air, maritime, space, or effects/expendables, depending on the program — then integrate, validate, and field it on the real hardware. In this role, you'll write new autonomy code — such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy — and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. You'll partner closely with the Autonomy Capabilities and Perception teams, feature crews, and external platform integrators (vehicle/autopilot control vendors, C2 providers). It's a hands-on role for engineers who like seeing their code operate in the real world — whether that's flying, sailing, orbiting, or downrange — and want to be there when it does. At this level, you'll also serve as a technical leader within the team — leading a small feature crew or sub-program through design, integration, and delivery, mentoring mid-level engineers, and representing the team directly to capability teams and external partners. Shield AI is committed to developing cutting-edge autonomy for unmanned platforms across every operating domain — air, maritime, space, and effects/expendables — in service of the U.S. Department of Defense and our international defense customers. Our Autonomous Pilot Integration engineers bridge the gap between R&D and deployment, ensuring autonomous systems function reliably and effectively wherever and whenever they're needed most. What You'll Do: Develop & Field Autonomy — Develop & integrate autonomy software solutions onto unmanned platforms (air, maritime, space, or effects/expendables), including payload computer bring-up, container-based deployment (e.g., k3s/k3d), and configuration across onboard compute, sensors, and command-and-control interfaces — and lead a small team through the design, development, and delivery of a major capability or sub-program. Technical Leadership — Lead a small feature crew or sub-program; set technical direction, break down work, unblock the team, and report progress to leadership and stakeholders. Collaboration Across Teams — Act as a primary technical interface with the Autonomy Capabilities team (motion planning, tactics), the Perception team, feature crews, and external partners (platform integrators, vehicle/autopilot control vendors, C2 providers); author and negotiate ICDs and interface contracts rather than just consume them Mentorship & Growth — Mentor mid-level engineers on the team; partner with managers on onboarding, leveling, and growth planning. Formally onboard senior new hires. Design & Documentation — Drive design reviews, ICDs, and post-mortems for your area; push the team toward higher rigor and close process gaps that span teams. Pre-deployment Preparation — Own the build, configuration, and validation process for mission-ready systems; coordinate hardware/software compatibility, mission readiness, and release cadence with capability and feature teams. On-site Test & Mission Support — Travel to test sites and support live mission operations (flight tests, range exercises, on-water trials, integration events), including safety checks, system bring-up, and troubleshooting under time-critical constraints. Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments — including memory, CPU, and timing profiling under operationally-representative loads. Mission Data & Debrief Support — Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build. Continuous Improvement — Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles. C2 Interoperability & Standards — Own the interface contracts with C2 providers and drive standards compliance for your area, including implementation and validation against command-and-control standards (e.g., A-GRA, UCI, OMS). Hiring — Interview candidates, help define the skills bar for open roles in your area, and onboard new engineers into your sub-program. Travel Requirement – Members of this team typically travel around 10-20% of the year (to different office locations, customer sites, and integration/test events). Required Qualifications: BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience. Proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems. Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics. Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, message buses). Hands-on experience supporting demos, exercises, or field/mission tests for unmanned or autonomous systems. Experience with autonomy simulation environments for testing and validation. Demonstrated experience leading a small technical team or owning a major capability from design through field delivery. Track record of mentoring engineers and growing technical talent. Experience authoring or negotiating interface contracts / ICDs with internal or external stakeholders. Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack. Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment. Ability to obtain a SECRET clearance. Preferred Qualifications: Direct experience supporting unmanned systems (air, maritime, space, ground, or effects/expendables) or similar field test campaigns. Proficiency in Python for scripting, automation, and analysis. Experience leading a feature crew, sub-program, or small team in an unmanned systems context. Experience owning customer- or partner-facing technical relationships (e.g., autopilot vendors, C2 providers, government program offices). Track record of cross-team improvements (process, rigor, documentation, or developer experience). Familiarity with autonomy stacks, motion planning, or vehicle-control integration. Competence in vehicle electronics bring-up (avionics, spacecraft buses, or vessel control), payload computer integration, or hardware-in-the-loop debugging. Experience with container orchestration (e.g., k3s, k3d, Docker) on embedded or payload compute. Familiarity with platform control / autopilot stacks (e.g., PX4, ArduPilot, spacecraft flight software, vessel autopilots). Proficiency in developing automation tools for system testing, logging, and data parsing. Build-system experience (e.g., Conan, CMake) and CI/CD pipeline familiarity. Comfortable interfacing with DoD stakeholders during field events or technical reviews.<

Job Description About Synchron Synchron’s vision is to build non-surgical brain–computer interfaces at global scale that protect the fundamental human rights of freedom of expression and autonomy. Our first mission is to develop motor decoders that restore the ability of 15 million people with paralysis to interact with the digital world. Our second mission is to develop whole-brain cognitive decoders that enable hundreds of millions of people with cognitive decline to preserve and expand their agency as cognition changes over time. In pursuing these goals, we aim not only to help humans flourish, but also to drive fundamental discoveries in human intelligence. Our team operates at the intersection of healthcare and technology, translating breakthrough research into real-world, safety-critical systems. Senior Quality Engineer (New Product Development) Quality Location: San Diego, CA (On-site)*Please note must be located within commuting distance of San Diego, CA. * Employment Type: Full-Time About the Role As Senior Quality Engineer (New Product Development), you will serve as the Quality lead across Synchron’s product development programs, partnering with R&D, Systems Engineering, Clinical, Regulatory Affairs, Manufacturing Engineering, and Operations to ensure quality is built into products from concept through commercialization. You will lead Design Quality activities, ensure compliance with FDA, ISO 13485, ISO 14971, and applicable international regulations, and facilitate successful transfer of new products into manufacturing. You will also provide operational quality support during pilot builds and early production while contributing to the development and continuous improvement of Synchron’s Quality Management System. Key Responsibilities Design Quality & New Product Development • Serve as the Quality representative on cross-functional product development teams from concept through commercialization., • Ensure compliance with Design Controls in accordance with FDA 21 CFR Part 820, ISO 13485, and applicable global regulations., • Lead Design Quality deliverables including:, • Design Reviews, • Design Verification & Validation (V&V), • Design History File (DHF) development, • Traceability, • Engineering Change Assessments, • Facilitate product risk management activities in accordance with ISO 14971, including hazard analyses, risk assessments, FMEAs, and verification of risk controls., • Review and approve product requirements, specifications, protocols, reports, drawings, and engineering documentation to ensure quality and regulatory compliance., • Collaborate with engineering teams to establish critical quality attributes, acceptance criteria, and design inputs/outputs., • Drive Design for Manufacturability (DFM), Design for Assembly (DFA), Design for Reliability (DFR), and Design for Quality (DFQ) principles throughout development., • Up to 20% travel expected, primarily for contract manufacturer visits and supplier audits.Design Transfer & Manufacturing Readiness, • Partner with R&D and Manufacturing Engineering to execute successful design transfer into production., • Develop manufacturing quality strategies including Process FMEAs, Control Plans, inspection strategies, and manufacturing quality gates., • Support process validation activities (IQ/OQ/PQ), equipment qualification, and pilot manufacturing builds., • Evaluate manufacturing readiness and identify quality risks prior to product launch., • Support engineering changes through impact assessments and change control activities.Operations & Supplier Quality, • Collaborate with Operations and Supplier Quality to qualify suppliers and contract manufacturers supporting new product development., • Review supplier validation activities, incoming inspection strategies, and quality documentation., • Support investigations involving nonconforming materials, manufacturing deviations, and CAPAs associated with prototype and pilot production., • Monitor quality metrics during new product introduction (NPI) and drive continuous improvement initiatives.Quality Systems & Regulatory Support, • Author and maintain Design Quality documentation including:, • Design Plans, • DHFs, • Risk Management Files, • SOPs, • Quality Plans, • Verification & Validation protocols and reports, • Support Regulatory Affairs during submissions by ensuring quality documentation is complete and inspection-ready., • Participate in internal audits, supplier audits, FDA inspections, and Notified Body audits., • Contribute to continuous improvement of Synchron’s Quality Management System. Required Qualifications • Bachelor’s degree in mechanical engineering, Biomedical Engineering, Electrical Engineering, or a related technical/science field, • 7+ years of Quality Engineering experience in an FDA-regulated medical device environment with demonstrated experience supporting new product development, design controls, risk management, verification & validation, and design transfer., • Experience supporting Class III medical devices preferred. CERTIFICATIONS Preferred Qualifications • ISO 13485:2016 Lead Auditor Certification (or willingness to obtain); CQE or CQA preferred., • Demonstrated knowledge of FDA Design Controls and product development processes., • Strong understanding of ISO 13485, ISO 14971, FDA 21 CFR Part 820, and applicable product standards., • Experience with Design Verification, Validation, Design Reviews, Design History Files, and traceability., • Experience performing Design and Process FMEAs and applying risk management principles., • Knowledge of process validation (IQ/OQ/PQ), manufacturing process development, and design transfer., • Familiarity with supplier quality management and contract manufacturing., • Ability to interpret engineering drawings, GD&T, and product specifications., • Strong technical writing and documentation skills., • Excellent communication and collaboration skills within multidisciplinary development teams., • Ability to balance innovation with regulatory compliance in a fast-paced product development environment. Compensation The base salary range for this role is $130,000 – $150,000 depending on experience, skills, and qualifications. In addition to base salary, this role may be eligible for discretionary bonuses and/or equity grants, subject to board approval and company policy. Visa Sponsorship We are unable to offer visa sponsorship for this position currently. Benefits (for W-2, full-time, exempt employees in the US only) ***Intern positions not eligible • Subsidized medical and dental insurance coverage for you and your dependent(s), • Life insurance, short-term disability, long-term disability, • 401k, • Discretionary unlimited PTO, • Flexible Spending Account for you and your dependent(s), with eligible plan elections, • Commuter benefits for NY employees Equal Employment Opportunity (EEO) Synchron is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants and provide equal employment opportunities without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable law. If you need a reasonable accommodation during the application or interview process, please let us know. Join Us At Synchron, you will be part of a transformative mission, and you will work alongside driven people who believe in the power of collaboration and innovation to make a lasting impact. If you are excited to stretch your skills and contribute to something meaningful, apply now and build the future with us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Are you a passionate and innovative engineer looking to help develop state-of-the-art AI and robotics products? Are you eager to make a positive difference in the world? Do you want to work alongside mission-driven and values-focused teammates? Shield AI is just the place for you! The Hivemind Quality team is committed to ensuring our autonomy platform delivers reliable, mission-ready capabilities through rigorous integration, validation, and flight testing. We work closely with autonomy, platform, and hardware teams to validate new features in simulation, hardware-in-the-loop, and real-world flight environments, ensuring our customers can confidently deploy autonomous systems in demanding operational conditions. We are seeking an experienced Senior Flight Test Engineer passionate about autonomy development and system validation. In this role, you will develop and execute comprehensive flight test strategies that validate autonomous behaviors, software integrations, and end-to-end system performance. You will work closely with software, hardware, and product teams to reproduce real-world mission scenarios, identify product issues, and improve the quality and reliability of the Hivemind platform. You are responsible for determining test readiness, directing test conduct, managing risk, and ensuring data-driven decisions throughout development and flight test operations. What you'll do: Lead system-level integration and flight test campaigns for Hivemind Mission Autonomy across small UAS and external platforms. Develop and execute test strategies, plans, scenarios, and success criteria that validate autonomy capabilities, software integrations, system performance, and operational customer workflows. Own test readiness and phase-gate decisions across simulation, SIL, HIL, ground, and flight testing, including entry and exit criteria, configuration control, and objective prioritization. Plan, direct, and execute fly–fix–fly campaigns, coordinating cross-functional engineering teams and test operators to enable rapid, disciplined iteration. Approve test procedures, test cards, and execution plans; lead risk assessments, hazard analyses, and mitigation planning while serving as the final authority during test conduct. Define and maintain test infrastructure, including simulation environments, flight assets, hardware configurations, multi-agent systems, and automated test pipelines. Analyze flight logs, telemetry, rosbags, and system data to identify defects, determine root causes, document anomalies and corrective actions, and ensure results are traceable to requirements and mission outcomes. Serve as the primary test interface to leadership, customers, and external stakeholders while establishing SOPs, reporting test progress and risk, and advancing industry test practices. Required qualifications: Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 4 years and a Master's degree; or equivalent work experience. Experience in system integration and test, including SIL, HIL, simulation, and flight test environments Highly organized and methodical, with the ability to manage complex, fast-paced test campaigns Strong written and verbal communication skills for safety-of-flight processes, hazard analysis, and configuration control in flight test environments Strong problem-solving skills with the ability to analyze flight logs, telemetry, and system behavior to identify root causes. Excellent communication skills with the ability to collaborate across software, hardware, product, and test organizations. FAA Part 107 Remote Pilot Certificate (or the ability to obtain one within a reasonable timeframe). Preferred qualifications: Familiarity with networking, Linux operating systems, and radio communications. Experience with hardware design selection and 3D prototyping Experience with modern software interfaces such as Codex and GitLab Experience with open-source flight controller software and sensor integration Experience with debugging autonomy subsystems through ROS logs Experience developing automated test tooling, validation frameworks, or data analysis tools in CI/CD pipelines #LC Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Tempo Based in San Diego, California, Tempo develops thermochemical energy storage (TCES) systems designed for energy-intensive industries. The platform enables industrial operators to shift energy use over time by sourcing power when it is most cost-effective and enables the electrification of high-temperature industrial heat at a cost advantage to using fossil fuels. By storing electricity thermochemically, the system delivers a continuous stream of combustion-free, high-temperature air at up to 1,200°ree;C. Tempo is backed by leading climate and energy investors, including Breakthrough Energy Ventures, Khosla Ventures, and Prelude Ventures. For more information, visit www.tempoenergy.com. Job Description The Staff Materials Engineer will lead complex materials development and quality initiatives that directly impact product reliability, manufacturability, and supplier readiness. This role combines deep technical expertise in ceramic materials with ownership of quality systems, process control strategies, supplier qualification, and scale-up readiness. This experienced Materials Engineer will operate as a technical leader across R&D, manufacturing, and supplier organizations, ensuring that materials, processes, and inspection methodologies consistently produce reliable outcomes. Beyond project execution, this role establishes standards, develops quality frameworks, mentors engineers, and drives continuous improvement across the organization. This position is particularly suited for an engineer with significant experience in ceramic manufacturing, quality assurance, process control, failure analysis, and supplier qualification. Key Responsibilities Innovation • Lead efforts around material development with desired electro/thermo-physical properties, • Conceive and implement material testing and qualification strategies Quality Systems & Manufacturing Excellence • Establish QA/QC methodologies for ceramic materials, components, and manufacturing processes., • Develop inspection plans, control plans, acceptance criteria, and statistical process control methodologies., • Lead root-cause investigations for material failures, process deviations, yield losses, and field performance issues., • Develop incoming, in-process, and final inspection strategies for ceramic products., • Drive implementation of quality systems with internal teams and external manufacturing partners., • Define critical-to-quality (CTQ) characteristics and process capability targets. Supplier Quality & Qualification • Lead qualification and auditing of ceramic suppliers and contract manufacturers., • Develop supplier scorecards and quality metrics., • Review and approve manufacturing process changes, material substitutions, and corrective actions., • Partner with suppliers to improve yield, consistency, and throughput. Failure Analysis & Reliability • Lead investigations involving cracking, creep, thermal shock, dimensional instability, conductivity drift, and microstructural degradation., • Correlate microstructure, processing history, and operating conditions with component performance., • Develop accelerated life testing methodologies and reliability validation plans. Process Scale-Up • Define quality requirements for pilot and commercial-scale manufacturing., • Identify manufacturing risks before scale-up and implement mitigation plans., • Drive process capability improvements and manufacturing readiness assessments. Basic Qualifications • MS in Ceramics Engineering, Materials Science, or similar discipline, • 5–10 years relevant experience with hands on formulations, characterization, and analysis Preferred Skills and Experience • PhD in Ceramics Engineering, Materials Science, or similar discipline, • Deep Expertise in ceramic processing, sintering, powder technology, and high-temperature materials., • Demonstrated experience implementing QA/QC systems in ceramic or refractory manufacturing environments., • Strong understanding of SPC, DOE, process capability studies, MSA, and quality engineering tools., • Expertise in failure analysis using SEM, XRD, microscopy, thermal analysis, and mechanical testing., • Experience with supplier qualification and manufacturing scale-up., • Ability to translate laboratory findings into robust production controls. Compensation Range The US base salary range for this full-time position is $148000 to $161,700 + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including job-related skills, experience, location, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity or benefits. Physical Demands • Sitting and standing: Extended periods at a desk performing computer-based design, simulation, and documentation work, balanced with time at a lab bench or in the shop during hardware build and testing, • Lifting and carrying : Lift and carry equipment, test fixtures, or hardware assemblies up to 50 lbs.; heavier items handled with mechanical assistance or team lift, • Hand dexterity: Frequent use of hands for assembly, fabrication, instrumentation hookup, and operation of test and shop equipment, • Visual acuity: Ability to read engineering drawings, inspect hardware, and identify dimensional and surface quality features during fabrication and testing, • PPE compliance: Ability to wear and work effectively in required personal protective equipment, including safety glasses, heat-resistant gloves, safety shoes, and other appropriate gear in high-temperature lab and shop environments, • Safety acumen: Demonstrated understanding of lab and shop safety protocols, including hazard recognition and risk mitigation in environments involving high-temperature equipment, energized systems, and fabrication machinery, • Travel: Occasional travel (estimated <5%) for tool or material pickup Working at Tempo Tempo is a lean organization working on exciting challenges, and the people who thrive here share a few things in common beyond their technical skills. • Clear, direct communication: You professionally say what you mean, lead with empathy, use tact, ask when you're unsure, and keep the people around you informed without being asked. At a company our size, communication gaps are expensive, and good communicators add to success and efficiency!, • Low-ego helpfulness: You're willing to jump in on work that isn't strictly yours, whether that's helping a teammate debug something, lending a hand in the shop, or flagging an issue you noticed outside your lane. No one here succeeds in a silo., • Intellectual curiosity: You're genuinely interested in how things work, not just your piece of it, but the broader system. Tempo sits at the intersection of chemistry, mechanical engineering, power electronics, and software; the more you understand about the whole, the more valuable you become., • Business awareness: You understand that your work exists in a business context. You think about cost, timeline, and tradeoffs—not just technical elegance—and you make decisions accordingly., • Comfort with ambiguity: Processes here are still being built. You can make progress without a perfect playbook, and you know when to ask for direction versus when to use your judgment and move forward., • Accountability: You own your outcomes, including the misses. When something goes sideways, the instinct here is to fix it and learn from it, not to explain why it wasn't your fault. This job description is intended to provide a general overview of the position and is not an exhaustive list of duties, responsibilities, or qualifications. Tempo reserves the right to modify, add, or remove responsibilities as business needs evolve. Employees may be asked to perform duties outside of those listed above from time to time. Tempo is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. We are committed to building a diverse and inclusive team and encourage candidates from all backgrounds to apply. Tempo participates in E-Verify. Employment is contingent upon successful completion of a background check including employment and education check. California Privacy Notice (CCPA) - In connection with your application, Tempo collects personal information that you voluntarily provide, such as your name, contact information, employment history, and other information relevant to your candidacy. This information is collected and used solely for the purpose of evaluating your application and administering the hiring process. Tempo does not sell applicants' personal information. For more information about your rights under the California Consumer Privacy Act (CCPA), please contact HR. Tempo does not accept unsolicited resumes or candidate profiles from external recruiters, staffing agencies, or third-party search firms. Submission of unsolicited resumes by any external agency — whether to a Tempo employee, hiring manager, or any other representative — does not constitute or imply an agreement for placement fees, and Tempo will not be responsible for any fees related to unsolicited submissions under any circumstances. Any candidate submitted without a prior, fully executed, written fee agreement between the agency and Tempo's Human Resources department will be deemed the sole property of Tempo. Tempo reserves the right to pursue and hire such candidates without obligation to the submitting agency.

Job Description Join our fast-paced and passionate team as a Photonics Process Development Engineer 2 focused on advanced packaging and tooling. As we scale, you will be instrumental in building our manufacturing foundation from the ground up. This is a dynamic, hands-on role for a highly self-directed engineer who thrives in an ambiguous, fast-moving environment. You will play a critical role in establishing scalable photonic manufacturing processes that directly enable product performance, reliability, and cost targets. Your work will define how our technology transitions from prototype to production. You will collaborate closely with device, optical, electrical, mechanical, and manufacturing engineers to transform delicate photonic designs into robust, manufacturable, high-yield products. Impact: • Establish core assembly and packaging processes that enable company growth, • Define manufacturing strategies that scale from R&D to production, • Improve yield, reliability, and cost through process innovation and optimization, • Build tooling, fixtures, and automation approaches that enable repeatability Key Technical Areas: • Vacuum reflow soldering (AuSn, SAC, Indium, and related materials), • Wire bonding (Au and Al; ball and wedge), • Die bonding (epoxy, eutectic, and solder attach), • Optical assembly and active alignment (lenses, isolators, fiber arrays), • Fiber splicing and precision fiber handling (including PM alignment), • Hermetic sealing (laser welding, parallel seam sealing), • Adhesives and material characterization, • Process metrology and inspection (shear/pull testing, vision systems, interferometry, hermeticity testing), • Automation and semi-automation development Responsibilities: • Own end-to-end development of photonic assembly processes from concept through production release, • Define and execute the process development roadmap aligned with product and manufacturing goals, • Design statistically rigorous experiments (DOE) to optimize process windows, robustness, and yield, • Manage the process control limits, qualification criteria, and acceptance metrics, • Transition processes from R&D to pilot and full manufacturing scale, • Lead process transfer to production, including equipment qualification (IQ, OQ, PQ), • Drive yield improvement initiatives and root-cause investigations for failures and reliability issues, • Establish engineering standards, documentation, and best practices, • Develop process flows, work instructions, travelers, and training materials, • Determine appropriate Design for Manufacturability (DFM) principles and ensures tolerance analysis follows best practices, • Manages the improvement of process capability (Cp/Cpk), • Performs qualification, reliability testing, and failure analysis (including FMEA), • Design precision fixtures, tooling, and mechanisms to enable repeatable assembly and alignment, • Collaborate with mechanical engineers and equipment vendors to develop manufacturable solutions and automation, • Mentor junior engineers and technicians and provide technical leadership across cross-functional teams, • Ensure adherence to cleanroom protocols and contamination control practices, • Other related duties as required. Requirements • This position requires access to export-controlled information. Employment is contingent upon the applicant being a U.S. person as defined by 8 U.S.C. § 1324b(a)(3). Experience: • BS or MS in Optical Engineering, Electrical Engineering, Materials Science, Mechanical Engineering, Physics, or a related field, • Typically 8+ years of relevant experience in photonics or optoelectronic process development, • 5+ years with demonstrated ownership of manufacturing process equipment such as die bonders, wire bonders, vacuum reflow systems, active alignment platforms, or laser welding systems Preferred Qualifications: • Experience with laser diodes, PICs, modulators, detectors, or optical transceivers, • Familiarity with hermetic packaging (butterfly, TO, or micro-optical packages), • Experience with active alignment systems, • Reliability testing experience (thermal cycling, HTOL, damp heat), • Knowledge of statistical process control (SPC) and manufacturing metrics, • Experience supporting low- to medium-volume production environments, • Fixture and mechanism design experience in precision systems Startup Mindset: • Comfortable operating in an evolving environment with changing priorities, • Motivated by building new capabilities and infrastructure from the ground up, • Willing to take ownership across multiple technical domains, • Hands-on and resourceful, with a strong bias toward execution Benefits The expected annual salary range for this position is $85,000-$125,000. As a full-time employee, you will be eligible for Monarch’s comprehensive benefits package, which includes: • Medical, Dental, and Vision insurance, • Fidelity 401(k) plan with 4% employer matching, • 20 paid time off (PTO) days per year, • 13 paid company holidays, • 9/80 work schedule (every other Friday off) Monarch Quantum is proud to be an equal opportunity employer and does not discriminate on the basis of race, color, citizenship status, national origin, ancestry, sex, sexual orientation, age, religion, creed, physical or mental disability, medical condition, marital status, veteran status or any other characteristics protected under applicable federal, state and local laws.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. About Shield AI Shield AI is a defense technology company with the mission of protecting service members and civilians with intelligent systems. We build autonomy systems for air, maritime, space, and other platforms operating in complex and contested environments. Forge is the engineering platform used to build, integrate, test, and operate Hivemind capabilities. It connects autonomy developers with the applications, services, compute, data, and workflows they need to move from local development to deployed systems. The Role We are looking for a full-stack engineer with strong frontend expertise who enjoys building customer-facing products, developer tools, and AI-assisted workflows. Your primary focus will be designing and building intuitive, responsive applications in TypeScript and React, with backend development and service integration as needed to deliver complete workflows. You will partner with internal subject-matter experts to build Forge applications for simulation, synthetic data generation, test and evaluation, and autonomy performance. You will use shared platform components and design application extension points that let downstream teams specialize these workflows. Shield AI’s internal Hivemind Pilot developers and Hivemind Solutions groups are your primary design partners. You will work directly with them to understand requirements, evaluate solutions, and improve the user experience through real use. Your work will help engineers understand complex systems, accelerate the development of autonomy software, and deliver reliable systems faster. What you'll do: • Design and build frontend experiences in TypeScript and React for autonomy development workflows such as simulation, synthetic data generation, and test and evaluation., • Translate complex technical workflows into intuitive apps and workflows., • Partner with Hivemind Pilot developers, Hivemind Solutions teams, product, and design to understand user needs and improve applications through feedback., • Use Forge’s UI Platform to deliver consistent application experiences and drive improvements through collaborating on concrete requirements., • Integrate domain APIs and services, building or extending backend capabilities as needed to complete application workflows., • Design reusable application components and extension points that let other teams specialize workflows. Key outcomes: A successful engineer in this role will help deliver the following outcomes:, • Hivemind teams adopt Forge applications that make it easier to develop, integrate, test, and diagnose autonomy capabilities., • Engineers can complete workflows across domain services through coherent application experiences, with clear progress, results, and paths to investigate failures., • Applications behave reliably across supported local, cluster, edge, and air-gapped environments., • Other teams can extend and specialize application workflows through documented APIs and extension points., • Engineers and AI agents can use application capabilities with appropriate permissions, visibility, and user control. Required qualifications:, • Experience delivering and supporting production web applications, with substantial ownership of frontend architecture and user experience., • Strong proficiency with TypeScript and React, including component design, state management, asynchronous data handling, routing, auth, and web architecture., • Ability to translate complex technical workflows into intuitive interfaces in collaboration with users, subject-matter experts, and designers., • Experience building responsive, accessible interfaces and diagnosing frontend performance issues with profiling., • Experience integrating APIs and handling loading states, errors, long-running operations, and evolving service contracts., • Ability to work across the stack, including reading, debugging, and extending backend services in Go, Python, or a comparable language., • Experience testing UI components, application behavior, and complete user workflows., • Sound judgment about when to use shared platform capabilities, contribute reusable improvements, or keep a solution specific to an application., • Clear communication skills and the ability to collaborate across product, design, platform, and domain teams. Preferred qualifications: Experience in every area below is not expected. Relevant experience may include:, • Developer tools or technical applications for simulation, experimentation, test and evaluation, or deployment., • Complex interactive interfaces such as scientific visualizations, workflow editors, large data tables, or live telemetry displays., • Frontend performance optimization for large datasets, frequent updates, or computationally intensive views., • Applications built on extensible platforms, including plugin systems, micro-frontends, Web Components, or VS Code extensions., • Schema-driven API development using OpenAPI, JSON Schema, Protocol Buffers, or generated clients., • Service and device integration using REST, gRPC, WebSockets, MQTT, DDS, MAVLink, or patterns such as pub/sub messaging and streaming telemetry., • AI-assisted application workflows and agent-tool integrations using protocols such as Model Context Protocol., • Familiarity with robotics, autonomy, simulation, or embedded systems, particularly integrating with underlying services, platforms, or devices. Why join us:, • Connect your work directly to the mission. The applications you build help engineers develop, validate, and deliver autonomy software at scale., • Own the experience engineers use every day. Shape how users interact with complex autonomy systems, with primary ownership of frontend development and the ability to carry improvements through backend integration., • Influence the platform through real applications. Turn workflow needs into shared workflow capabilities that benefit the broader Hivemind ecosystem., • Build alongside engaged users. Partner directly with AI/ML/sim domain experts, learn how they work, and see the effect of your decisions., • Shape AI-assisted engineering workflows. Build applications where engineers and agents can work with shared context and tools while preserving user control and accountability. #LI-DM2 #LC Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. About Shield AI: Shield AI is a defense technology company with the mission of protecting service members and civilians with intelligent systems. We build autonomy systems for air, maritime, space, and other platforms operating in complex and contested environments. Forge is the engineering platform used to build, integrate, test, and operate Hivemind capabilities. It connects autonomy developers with the applications, services, compute, data, and workflows they need to move from local development to deployed systems. Job Description: We are looking for a full-stack engineer interested in customer-facing products, developer tools, and AI-assisted workflows. You will partner with internal subject-matter experts to build an extensible application platform and complete applications on it. Shield AI’s Hivemind developers are the platform’s primary design partners and proving ground. Forge is also designed for external engineering teams to adopt, extend, and integrate into their own environments. You will help evolve Forge into an integrated engineering environment with shared foundations for APIs, user interfaces, extensions, model integrations, and agent tools. Working across frontend architecture, backend services, and model integrations, you will validate the platform through real workflows. Your work will help engineers understand complex systems, develop autonomy software, investigate failures, and deliver reliable capabilities faster. What you'll do: Build and operate a front-end focused development platform embedded in the workflows used to train, validate, and deploy the AI Pilot. Design a composable UI architecture that lets applications contribute apps, dashboards, commands, widgets, and shared resource context. Define typed, versioned contracts between the platform and independently developed Forge applications. Create workflows for teams to package, publish, configure, install, upgrade, and disable applications. Enable Forge’s native AI experiences and external agent harnesses to understand active context, invoke authorized tools, navigate applications, and compose dashboards. Deliver consistent application behavior across local-development and AI Factory environments. Partner with simulation, autonomy, and ML subject-matter experts to build initial applications, validate the platform against real workflows, and incorporate what you learn. Work across infrastructure, security, product, and design to shape the platform’s architecture and engineering practices. Key outcomes: A successful engineer in this role will help deliver the following outcomes: Build and operate a front-end focused development platform embedded in the workflows used to train, validate, and deploy the AI Pilot. Design a composable UI architecture that lets applications contribute apps, dashboards, commands, widgets, and shared resource context. Define typed, versioned contracts between the platform and independently developed Forge applications. Create workflows for teams to package, publish, configure, install, upgrade, and disable applications. Enable Forge’s native AI experiences and external agent harnesses to understand active context, invoke authorized tools, navigate applications, and compose dashboards. Deliver consistent application behavior across local-development and AI Factory environments. Partner with simulation, autonomy, and ML subject-matter experts to build initial applications, validate the platform against real workflows, and incorporate what you learn. Work across infrastructure, security, product, and design to shape the platform’s architecture and engineering practices. Required qualifications: Experience owning production full-stack applications from design and implementation through rollout and support. Strong proficiency with TypeScript and React or an equivalent modern web stack. Experience building production backend services in Go, Python, Rust, or a comparable language. Experience designing typed, versioned APIs and contracts between independently deployed components. Strong knowledge of web and distributed-system architecture, including state management, routing, asynchronous communication, browser security, authentication, authorization, and failure handling. Experience building real-time and high-performance applications (WebGL, WebGPU) Sound judgment about when to extend an existing system, introduce an abstraction, or keep a solution intentionally small. Clear communication skills and the ability to work across frontend, backend, infrastructure, and product disciplines. Preferred qualifications: Experience in every area below is not expected. Relevant experience may include: Extensible application platforms, including plugin systems, micro-frontends, web sandboxing, Web Components, or VS Code extensions. Agent-tool integrations and protocols such as Model Context Protocol. API gateways, reverse proxies, service catalogs, or policy-driven routing. Schema-driven API development using OpenAPI, JSON Schema, Protocol Buffers, gRPC, or generated clients. Kubernetes and ingress/gateways Composable user experiences such as dashboard builders, configurable layouts, data visualization, or collaborative application state. Robotics, autonomy, simulation, aerospace, or other domains where software interacts with real-world systems. Shipping Electron Applicatitions Why join us: • Connect your work directly to the mission. The platform and applications you build help engineers develop, validate, and deliver the autonomy software behind Hivemind., • Define human-and-agent workflows. Design how engineers and AI agents use the same platform tools while preserving user control, security, and accountability., • Own complete workflows. Work across user experience, frontend architecture, backend services, APIs, deployment, and operations., • Build alongside engaged users. Partner with engineers solving autonomy, simulation, data, and infrastructure problems, and see the direct effect of your decisions. San Diego, CA pay range: $130,000 - $200,000 San Mateo, CA pay range: $150,000 - $240,000 #LI-DM2 #LC Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. About Shield AI Shield AI is a defense technology company with the mission of protecting service members and civilians with intelligent systems. We build autonomy systems for air, maritime, space, and other platforms operating in complex and contested environments. Forge is the engineering platform used to build, integrate, test, and operate Hivemind capabilities. It connects autonomy developers with the applications, services, compute, data, and workflows they need to move from local development to deployed systems. The Role We are looking for a full-stack engineer to help shape the future of physical AI by building tools to develop, train, and validate autonomous systems. You will work across TypeScript and React applications, backend services, APIs, and Python data workflows, with an emphasis on extensibility and reuse. Your work will bring together internal platforms and open-source software across local and Kubernetes environments. You will build Forge capabilities for simulation, synthetic data generation, training, and test and evaluation, helping engineers turn ideas into proven autonomy capabilities. Working directly with Hivemind Pilot developers, Hivemind Solutions teams, and domain experts, you will translate complex workflows into reliable applications and reusable services. You will own features from user needs and design through implementation, deployment, and support. This role suits a generalist who wants meaningful ownership, enjoys moving between frontend and backend work, and is curious about the systems that connect them. You will help shape technical decisions and deploy and troubleshoot containerized services alongside platform engineers. Practical Kubernetes experience is a plus, particularly supporting applications in cloud or on-premises environments. What you'll do: • Build complete features across React interfaces, backend services, APIs, and data storage., • Translate complex technical workflows into intuitive applications with clear progress, results, and useful paths to investigate failures., • Design and evolve APIs and data models that support applications, automation, and integrations with other teams., • Contribute to a platform / application architecture directly through requirements or direct contribution., • Contribute to software that is meant to run in a multitude of environments from local workstations, to CICD, to airgapped Kubernetes clusters., • Test and support what you build, using logs, metrics, traces, and user feedback to improve reliability, performance, and usability., • Work directly with users, product, design, and engineering teams to define scope, make practical tradeoffs, and deliver improvements iteratively. Key outcomes: A successful engineer in this role will help deliver the following outcomes:, • Hivemind teams can complete development and evaluation workflows through coherent applications and dependable services., • Features work reliably across supported local and cluster environments, with clear diagnostics when something goes wrong., • Other teams can integrate with and extend Forge through documented APIs and reusable components., • Changes are straightforward to test, deploy, maintain, and support as the platform evolves. Required qualifications:, • Experience delivering and supporting production applications, with meaningful contributions to both frontend and backend development., • Proficiency with TypeScript and React, including component design, state management, asynchronous data handling, and API integration., • Experience building backend services in Go, Python, or a comparable language, including API design, validation, and error handling., • Experience working with databases and application data models, including querying, persistence, and schema changes., • Ability to reason about service interactions, authentication, authorization, background jobs, and failures across application boundaries., • Familiarity with containers, CI/CD, and deploying and debugging services in a shared environment., • Clear communication, sound engineering judgment, and the ability to work directly with users and carry work from an ambiguous problem to a supported solution. Preferred qualifications: Experience in every area below is not expected. Relevant experience may include:, • Hands-on Kubernetes experience deploying or troubleshooting applications, including Helm charts, service configuration, networking basics, and persistent storage., • Developer tools or technical applications for simulation, experimentation, training, test and evaluation, or deployment., • Job orchestration, distributed execution, or data-processing workflows using tools such as Ray, Kubernetes Jobs, Argo Workflows, or Dagster., • Schema-driven APIs, generated clients, or service integrations using OpenAPI, JSON Schema, Protocol Buffers, gRPC, or WebSockets., • Extensible applications, plugin systems, shared component libraries, or AI-assisted workflows and agent-tool integrations., • Applications deployed across cloud, on-premises, edge, or air-gapped environments; familiarity with robotics, autonomy, or simulation. Why join us:, • Own complete solutions. Shape the user experience, implement the services behind it, and see your work through deployment and real use., • Build software with direct mission impact. Help engineers develop, validate, and deliver autonomy capabilities more effectively., • Work alongside engaged users. Partner with autonomy, ML, and simulation experts and see how your decisions affect their daily work., • Influence a growing platform. Turn practical application needs into shared capabilities that benefit teams across Hivemind, including new AI-assisted engineering workflows. San Diego, CA pay range: $130,000 - $200,000 San Mateo, CA pay range: $150,000 - $240,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Title: R&D Catheter Engineering Technician Location: San Diego - onsite 5x/week Compensation: $90,000 - $110,000 Sponsorship: Not available at this time Position Overview The R&D Neurovascular Catheter Technician at Synchron plays a hands-on role in developing next-generation neurovascular delivery systems that enable the company’s minimally invasive brain–computer interface (BCI) technology. This role focuses on precision prototyping, micro-scale assembly, and bench testing of catheter and microcatheter systems used to navigate the cerebral vasculature for safe deployment of Synchron’s next generation implantable devices. The technician works closely with R&D engineers and clinical experts to advance device concepts from early feasibility through design refinement, contributing directly to Synchron’s mission of restoring functional independence for people with paralysis. Responsibilities: Neurovascular Prototype Fabrication Prototype builds · Build catheter prototypes and sub-assemblies under magnification, including liner prep, braid and coil reinforcement, polymer jacket reflow lamination, tipping, and marker band placement · Perform bonding operations with UV-cure adhesives and epoxies, and apply hydrophilic coatings per work instructions · Set up and run lab equipment such as reflow/heat-shrink stations, hot-air and tipping machines, UV cure systems, and coating fixtures · Design and fabricate simple fixtures, mandrels, and tooling with engineers Testing and characterization · Run bench tests including tensile/bond strength, kink resistance, torque response, flexibility, burst/leak, and coating lubricity and particulate · Run simulated-use testing in tortuous neurovascular anatomical models to evaluate trackability, pushability, and device delivery · Perform dimensional inspection using optical comparators, vision systems, micrometers, and pin gauges · Collect, organize, and do first-pass analysis of test data; summarize results for engineering review Documentation and quality · Record work accurately in lab notebooks, build travelers, and test data sheets following Good Documentation Practices · Draft and red-line work instructions, test methods, and build procedures · Support design verification builds, process characterization, and design transfer to manufacturing partners · Perform receiving inspection on incoming components and materials such as tubing, polymers, and coatings Lab operations · Maintain cleanroom and lab housekeeping, gowning, and equipment calibration/maintenance status · Track lab inventory and help order materials and components · Follow EHS, chemical handling, and cleanroom protocols Early Process Development · Provide input on developing scalable fabrication techniques that can transition into pilot manufacturing. · Identify critical process parameters and assist in building repeatable, early-stage processes. · Support feasibility work that informs later-stage process validation. Qualifications: Preferred qualifications · Experience with neurovascular, endovascular, or peripheral interventional catheters and delivery systems · Familiarity with catheter materials such as PTFE liners, Pebax, nylon, and polyimide, and with hydrophilic coatings · Experience running simulated-use testing in anatomical or tortuous-path models · Exposure to design controls, design verification, and test methods aligned with ISO 10555 · Experience with electrode leads, fine-wire interconnects, or active implantable devices · Experience with laser welding, laser cutting, or nitinol components · Basic statistics (Minitab or JMP) a plus · Physical requirements and work environment · On-site role in an R&D lab and cleanroom; full gowning required in controlled areas · Able to sit or stand at a microscope workstation for extended periods and do repetitive fine-motor tasks · Able to lift up to 25 lbs. · Corrected vision adequate for detailed work under magnification, including color discrimination · Works with adhesives, solvents, and UV/heat equipment using the required PPE · Occasional extended hours to support build or test milestones · Cleanroom experience (ISO Class 7 or 8)

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Autonomous Pilot Integration team for Emerging Domains builds autonomy solutions for new platforms and mission profiles outside Shield AI's established portfolios—including space (satellites, missile defense), maritime (USV and UUV integration), and contested logistics (unmanned helicopters and related autonomous resupply platforms). The team takes on short-term R&D and integration efforts—often standing up the first autonomy on a brand-new platform or mission—with the intent that successful efforts grow into larger, multi-year programs. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK—selectively leveraging existing Shield AI autonomy solutions where they apply—to develop autonomy that runs on these new platforms. Our engineers write new autonomy code—such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy—and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. In this role, you'll lead the technical delivery of complex autonomy capabilities across Emerging Domains, helping establish first-of-their-kind autonomy solutions for new platforms and mission areas. You'll own challenging integration efforts, influence technical direction across multiple subsystems, and work closely with platform teams and cross-functional engineering organizations to transition early R&D efforts into scalable, operational capabilities. What You'll Do: Stand Up New Programs – Lead technical efforts to establish autonomy on new platforms, determining how best to leverage existing Shield AI capabilities while developing new platform-specific solutions. Navigate Ambiguity & Shifting Priorities – Operate effectively as programs evolve, adapting technical plans, balancing competing priorities, and maintaining engineering momentum through changing customer and program requirements. Develop & Field Autonomy – Lead development and integration of autonomy software across emerging-domain platforms, including platform interfaces, payload integration, mission autonomy, and operational deployment. Technical Leadership – Lead feature crews or major integration efforts, mentor engineers, remove technical obstacles, and drive delivery of complex capabilities. Platform Team Partnerships – Serve as a primary technical partner to platform engineering teams while coordinating interface evolution, hardware/software compatibility, and mission readiness. Collaboration Across Teams & Partners – Coordinate closely with Autonomy Capabilities, Perception, GCS, feature crews, customer/program offices, and external partners to deliver integrated autonomy solutions. Design & Documentation – Lead design reviews, architecture discussions, ICD development, and engineering improvements across multiple efforts. Pre-deployment Preparation – Drive validation, release readiness, hardware/software integration, and mission preparation for operational deployments. On-site Test & Mission Support – Provide technical leadership during live testing, demonstrations, and operational events across air, maritime, space, and emerging platforms. Hardware/Software Debugging – Lead root-cause analysis across complex autonomy stacks, embedded systems, and platform interfaces. Mission Data & Debrief Support – Drive post-mission analysis and coordinate engineering improvements based on operational results. Continuous Improvement – Improve engineering processes, testing infrastructure, integration workflows, and deployment efficiency. C2 Interoperability & Standards – Drive implementation of command-and-control interfaces and interoperability standards appropriate for each platform. Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises. Required Qualifications: BS/MS in a relevant engineering discipline or equivalent practical experience. Typically requires 7+ years of relevant experience. Expert C++ and Linux development experience. Experience leading complex autonomy or systems integration efforts. Experience influencing technical direction across engineering teams. Experience operating successfully in ambiguous or rapidly evolving technical environments. Ability to obtain a SECRET clearance. Preferred Qualifications: Experience standing up autonomy on new platforms. Experience with autonomous aircraft, maritime, or space systems. Experience mentoring engineers and leading technical initiatives. Experience with military test events or customer deployments. Experience with UCI, OMS, STANAG 4586, or comparable interoperability standards. #LI-ED1 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description TrellisWare launched in 2000 with an innovative culture striving to push technological boundaries in the area of wireless communications. We are now a worldwide leader in highly advanced algorithms, waveforms, and communications systems that range from small form factor radio products to fully integrated solutions. At TrellisWare, we connect passion with purpose and together we make an impact- on our careers, our company, and the world. And you can too. If you love to innovate and collaborate in a dynamic environment where boundaries are being pushed, you belong at TrellisWare. Where the opportunity to serve is not a challenge but a gift. Where you're never going alone. Because there's too much at stake to go solo. Our Operations Team is seeking a Manufacturing Test Engineer to develop, implement, and continuously improve manufacturing test processes and automated test systems for TrellisWare products. This role will bring test solutions from product development into production, support new product introductions, and improve the performance, reliability, and scalability of existing manufacturing test systems. The Manufacturing Test Engineer will work closely with Hardware, Software, Product, Quality, Operations, and contract manufacturing partners to ensure products are designed for testability, test systems are production-ready, and processes consistently deliver high-quality products. This role combines hands-on test engineering, software development, manufacturing process development, data analysis, and production support. The ideal candidate is analytical, technically curious, and comfortable working across hardware and software disciplines. They enjoy understanding why something fails, developing practical solutions, and turning engineering concepts into robust, repeatable manufacturing processes. Enhancing cohesiveness and maintaining team morale is a responsibility of all our team members, as is the ambition for self-improvement and talent development. Through this dedication to unity and professional advancement, each team member is directly impacting the successful outcome of TrellisWare's deliverables and setting the tone for our core values of delivering excellence, pushing boundaries, and empowering people. The essential duties and responsibilities include: • Implement and maintain automated manufacturing test systems for TrellisWare products, including automated test scripts to verify product functionality and characterize key performance parameters., • Partner with Engineering to drive Design for Testability (DFT) and ensure products can be efficiently tested in production., • Design and develop test fixtures, interfaces, and supporting hardware for production testing., • Develop and maintain test infrastructure, including APIs, test sequencers, user interfaces, data collection, databases, and post-processing tools., • Program and integrate test equipment such as spectrum analyzers, oscilloscopes, signal generators, radio emulators, network analyzers, RF switch matrices, and multimeters., • Transition test systems and processes from Engineering into production, ensuring test coverage, documentation, equipment, fixtures, software, and training are ready for launch., • Work with contract manufacturers to deploy, validate, troubleshoot, and improve manufacturing test systems and processes., • Analyze manufacturing and test data to identify trends, improve accuracy and throughput, reduce defects, and increase first-pass yield., • Perform root cause analysis of test and manufacturing failures and implement corrective actions., • Troubleshoot hardware, software, test equipment, fixtures, and product issues encountered during production., • Develop and maintain test procedures, work instructions, documentation, and troubleshooting guides., • Utilize asset management tools and work with outside vendors to ensure test equipment is well stocked, maintained and calibrated., • Collaborate with Quality department to ensure compliance with regulatory requirements such as ISO9001 and maintain proper documentation for all testing procedures., • Work with outside vendors and internal teams to procure test equipment and materials., • Train and support contract manufacturing personnel on test systems, procedures, and troubleshooting., • Support NPI builds, pilot production, product transfers, and sustaining manufacturing activities., • Identify opportunities to improve test coverage, automation, cycle time, yield, reliability, and manufacturing efficiency., • Develop scalable test solutions that can be deployed across multiple products and manufacturing partners., • Contribute to continuous improvement of manufacturing and test processes, tools, and methodologies., • Perform additional duties as requested or assigned., • Willing to travel about 15% of the time. Education and work experience requirements are: • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Manufacturing Engineering, Physics or a related technical field., • 1-8 years of experience, • Experience developing automated test systems and/or manufacturing test processes., • Experience programming in Python, C#, VB.NET, C/C++, or similar languages., • Experience with Linux and Windows-based systems, test equipment, and automated test environments., • Experience developing test fixtures or production test interfaces is preferred., • Experience working with contract manufacturers and supporting NPI or production launches is a plus., • Experience with RF test equipment, wireless communications products, or radio systems is strongly preferred., • Experience with databases, test data collection, and analysis is a plus. To be considered for this position, you would need to meet, at a minimum, the knowledge, skills, and abilities listed here: • Strong understanding of hardware, software, product test, and manufacturing disciplines., • Strong programming and scripting skills with the ability to develop and maintain automated test software., • Strong analytical and troubleshooting skills with the ability to diagnose complex hardware, software, and test issues., • Familiarity with RF technology, radio design, and RF test equipment is preferred., • Familiarity with embedded systems, Linux, networking, and communications technologies is preferred., • Experience with automated test architecture, sequencing, data collection, and post-processing., • Ability to analyze test and manufacturing data and use it to drive process improvements., • Ability to work independently and collaborate effectively with Engineering, Operations, Quality, and external manufacturing partners., • Strong initiative, judgment, and ability to prioritize multiple projects., • Strong written and verbal communication skills., • Attention to detail and commitment to quality., • Ability to think creatively and develop practical solutions to complex manufacturing and test problems., • Champions change, promotes innovation, and demonstrates curiosity about how products and processes work. The physical demands described here represent those that must be met in order to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable those with qualified disabilities. • Able to frequently sit, stand, walk, use hands to fingers, handle or feel, reach within hands and arm's length, stoop, kneel, and crouch, talk and hear., • Regularly required to sit for extended periods of time; frequently required to use office equipment such as PC, printer, telephone, etc., • Able to regularly lift and/or move up to 10 pounds, frequently lift and/or move up to 25 pounds, and occasionally lift and/or move up to 50 pounds., • Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Additional requirements are: • U.S. Citizenship. Note: Many of TrellisWare's positions require a security clearance or the ability to obtain one. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. TrellisWare Technologies pays competitively according to the market in an individual's geographic location, in addition to their qualifications and experience. The posted range is annually and for individuals located in the San Diego, CA area. San Diego, California Pay Range $85,000—$110,000 USD Disclaimers • The above statements are not intended to be an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Nothing in the job description restricts the company's right to change, assign, or reassign duties and responsibilities at any time for any reason. Our compensation approach is designed to be competitive and equitable across the markets in which we operate. Compensation is benchmarked against local market conditions and considers the role, geographic location, relevant experience, skills, and qualifications. • As part of our onboarding process, we conduct background checks, where legally permitted and appropriate for the role, in accordance with applicable laws, regulations, and privacy requirements., • By submitting your application, you acknowledge that TrellisWare Technologies may collect, process, use and obtain your personal information for recruiting and hiring purposes in accordance with applicable data protection and privacy laws. Please review our Employee-Applicant Privacy Notice for more information. TrellisWare Technologies, Inc. is an EEO/AA/Disability/Vets Employer. Check out the Careers page for more information about working at TrellisWare Technologies.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Autonomous Pilot Integration team for launched effects builds autonomy solutions for small, often air- or ground-launched platforms that operate in multi-agent fleets and frequently in disconnected or air-gapped environments. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on launched effects platforms, then integrate, validate, and field it on the real hardware—for U.S. and international defense customers. Our engineers write new autonomy code—such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy—and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. In this role, you'll define the technical direction for the Launched Effects portfolio, driving the evolution of autonomy architecture across multiple programs while ensuring scalable, mission-ready solutions for fleet-scale operations. You'll solve the organization's most complex integration challenges, influence long-term technical strategy, and partner with engineering leadership, the Autonomy Capabilities and Perception teams, autopilot vendors, C2 providers, and customer stakeholders to deliver autonomy capabilities that perform reliably in operational environments. What You'll Do: Technical Strategy & Portfolio Leadership – Define the long-term technical direction for the Launched Effects portfolio; drive common integration patterns, architecture, and engineering strategy that enable scalable fleet operations across current and future programs. Develop & Field Autonomy – Guide the development and integration of mission autonomy, platform interfaces, executive autonomy, multi-agent coordination, and fleet-scale deployment capabilities while ensuring successful operational delivery across launched effects programs. Collaboration Across Teams & Partners – Build strong technical partnerships across the Autonomy Capabilities team, Perception team, feature crews, autopilot vendors, C2 providers, customer organizations, and engineering leadership; influence architecture and technical direction beyond the portfolio. Design & Documentation – Lead cross-functional architecture reviews, interface standards, ICDs, and post-mortems while raising engineering rigor and technical consistency across multiple organizations. Mentorship & Organizational Growth – Mentor Staff and Senior engineers, develop future technical leaders, contribute to engineering standards and leveling, and partner with managers on senior hiring. Pre-deployment Preparation – Guide Capability Release planning, fleet-scale deployment strategies, mission validation, and operational readiness across multiple programs. On-site Test & Mission Support – Provide senior technical leadership during critical flight tests, customer demonstrations, and operational exercises where deep systems integration expertise is required. Hardware/Software Debugging – Lead resolution of the organization's most complex autonomy integration challenges spanning software, embedded systems, networking, platform interfaces, and operational environments. Mission Data & Debrief Support – Drive post-mission analysis, identify systemic improvements, and influence long-term technical investments based on operational learnings. Continuous Improvement – Drive organization-wide improvements to engineering processes, testing infrastructure, integration workflows, developer experience, and mission reliability. C2 Interoperability & Standards – Define technical strategy for command-and-control interoperability; shape interface evolution with internal and external stakeholders while driving adoption of common message and open-systems standards (e.g., UCI, OMS, MOSA, WOSA, TAK/CoT). Hiring & Developing Technical Talent – Define the technical hiring bar for senior engineering roles, partner with engineering managers on long-term staffing strategy, and help grow the organization's technical capabilities. Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises. Required Qualifications: BS/MS in a relevant engineering discipline or equivalent practical experience. Typically requires 10+ years of relevant experience. Expert-level C++ and Linux systems development experience. Demonstrated experience defining technical strategy across multiple engineering teams or programs. Proven track record influencing architecture and solving highly complex autonomy integration challenges. Experience mentoring senior engineers and driving engineering excellence across an organization. Ability to obtain a SECRET clearance. Preferred Qualifications: Extensive experience with launched effects, autonomous systems, or distributed robotic platforms. Experience defining autopilot integration strategies and multi-agent autonomy architectures. Experience leading fleet-scale or disconnected operational deployments. Experience with military operational testing and international defense customers. Experience with UCI, OMS, MOSA, WOSA, TAK/CoT, or similar open architectures. Experience shaping engineering practices across multiple teams or organizations. #LI-ED1 #LE Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Autonomous Pilot Integration team for launched effects builds autonomy solutions for small, often air- or ground-launched platforms that operate in multi-agent fleets and frequently in disconnected or air-gapped environments. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on launched effects platforms, then integrate, validate, and field it on the real hardware—for U.S. and international defense customers. Our engineers write new autonomy code—such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy—and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. In this role, you'll lead the technical delivery of complex autonomy capabilities spanning platform integration, fleet operations, and operational deployment. You'll own some of the team's most challenging technical problems while driving technical direction across multiple subsystems and collaborating closely with the Autonomy Capabilities team, Perception, feature crews, autopilot vendors, C2 providers, and customer partners. You'll combine deep technical expertise with systems thinking to deliver scalable autonomy solutions for fleet-scale operations. What You'll Do: Lead Technical Delivery – Lead the technical execution of major autonomy capabilities; drive technical direction, coordinate cross-functional execution, mentor engineers, and help deliver complex integration efforts. Develop & Field Autonomy – Develop and integrate autonomy software solutions onto launched effects platforms, including autopilot integration, payload systems, executive autonomy, multi-agent coordination, and fleet-scale deployment to disconnected or air-gapped environments. Collaboration Across Teams & Partners – Serve as a primary technical interface with the Autonomy Capabilities team, Perception team, feature crews, autopilot vendors, C2 providers, and customer/contractor partners; influence interface definitions and coordinate integration across organizations. Design & Documentation – Lead design reviews, contribute to architecture decisions and ICDs, improve engineering rigor, and establish repeatable integration practices across multiple efforts. Pre-deployment Preparation – Drive mission readiness for Capability Releases and fleet-scale deployments by coordinating validation, release planning, hardware/software compatibility, and operational readiness. On-site Test & Mission Support – Provide technical leadership during flight tests, customer demonstrations, range exercises, and operational deployments while troubleshooting complex issues under time-critical constraints. Hardware/Software Debugging – Lead root-cause analysis across autonomy software, payload computers, embedded systems, networking, and platform interfaces using simulation, lab testing, and field data. Mission Data & Debrief Support – Analyze mission data, reproduce issues, coordinate corrective actions across engineering teams, and drive continuous improvements into future releases. Continuous Improvement – Build tools, automation, and engineering processes that improve deployment velocity, mission reliability, developer productivity, and integration efficiency. C2 Interoperability & Standards – Drive implementation of command-and-control interfaces and support compliance with open-systems standards while coordinating closely with external integration partners. Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises. Required Qualifications: BS/MS in a relevant engineering discipline or equivalent practical experience. Typically requires 7+ years of relevant experience. Expert C++ and Linux development experience. Experience leading complex autonomy or embedded software integration efforts. Experience influencing technical direction across multiple engineering teams. Experience supporting operational test events or customer deployments. Ability to obtain a SECRET clearance. Preferred Qualifications: Experience with launched effects or distributed autonomous systems. Experience integrating PX4, ArduPilot, or custom autopilot solutions. Experience with fleet-scale autonomous operations. Experience with disconnected or air-gapped deployments. Experience mentoring engineers and leading technical initiatives. Experience with UCI, OMS, MOSA, WOSA, or TAK/CoT. #LI-ED1 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Autonomous Pilot Integration team for expeditionary platforms builds autonomy solutions for V-BAT — an unmanned aircraft operating in expeditionary environments for ISR, target acquisition, communications, and multi-agent missions. The team also builds autonomy for X-BAT, a new platform under development by the aircraft team; for X-BAT, the team builds on top of the existing mission autonomy solution from the Strategic Systems (ACP) portfolio and works closely with the aircraft team on the flight-autonomy interface. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK to develop the autonomy software that runs on these platforms, then integrate, validate, and field it on the real hardware — for U.S. and international defense customers. In this role, you'll lead the technical delivery of complex autonomy capabilities spanning platform integration, mission autonomy, and operational deployment. You'll own some of the team's most challenging technical problems—from defining flight-autonomy interfaces and integrating advanced payloads to driving mission readiness for customer releases. You'll influence technical direction across multiple subsystems while partnering closely with the Aircraft team, Autonomy Capabilities, Perception, GCS, Strategic Systems (ACP), feature crews, and customer stakeholders. You'll combine deep technical expertise with systems thinking to drive successful integration across software, hardware, and operations while mentoring engineers and improving engineering practices across the Expeditionary portfolio. What You'll Do: Lead Technical Delivery – Lead the technical execution of complex autonomy capabilities from architecture through field deployment, coordinating work across multiple engineering teams. Develop & Field Autonomy – Drive integration of mission autonomy, payloads, flight-control interfaces, executive autonomy, and multi-agent behaviors onto V-BAT and X-BAT. Aircraft Team Partnership – Serve as a primary technical partner to the Aircraft team, defining integration approaches, resolving interface issues, and ensuring mission readiness. Cross-Team Technical Leadership – Partner across Aircraft, Autonomy Capabilities, Perception, GCS, Strategic Systems (ACP), and feature crews to solve complex systems integration challenges. Systems Architecture & Integration – Influence architecture, interface design, and integration strategy across multiple subsystems. Design & Engineering Excellence – Lead design reviews, contribute to ICDs, mentor engineers, and improve engineering rigor. Mission Readiness & Field Support – Drive release readiness while supporting flight tests, customer demonstrations, and operational deployments. Continuous Improvement – Improve integration workflows, testing infrastructure, and engineering productivity. C2 Interoperability & Standards – Drive implementation of GCS and C2 interfaces using common open-systems standards. Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises. Required Qualifications: BS/MS in a relevant engineering discipline or equivalent experience. 7+ years of relevant experience. Expert C++ and Linux development experience. Experience leading complex autonomy or embedded software integration efforts. Experience influencing technical direction across multiple engineering teams. Experience supporting operational test events or customer deployments. Ability to obtain a SECRET clearance. Preferred Qualifications: Experience with Group 3 UAS or VTOL aircraft. Experience with custom autopilot integration. EO/IR or ViDAR integration. Long-endurance ISR missions. Docker, ARM embedded systems, and CI/CD experience. Experience mentoring engineers and leading technical initiatives. #LI-ED1 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Network Solutions Engineer – Field Services (San Diego Area) Full-Time | Competitive Compensation + Benefits About GigaKOM For more than 15 years, GigaKOM has delivered enterprise-level IT solutions to California K–12 school districts, higher education institutions, state and local agencies, and commercial organizations. Through partnerships with leading manufacturers and distributors, we provide secure, scalable networking, wireless, security, and infrastructure solutions across the state. As we expand our presence in California, we are seeking a Network Solutions Engineer – Field Services based in the San Diego Area to support both client implementations and strategic technical engagements. This role combines remote flexibility with on-site client support as needed throughout the region. In addition to hands-on deployment responsibilities, this position works closely with the Sales Team during the pre-sales process—participating in discovery meetings, validating technical requirements, and helping design practical, scalable solutions aligned with client objectives. The Network Solutions Engineer will assist in developing solution architectures, reviewing configurations, and providing technical expertise during proposal development. The role also includes supporting and executing Proof of Concept (PoC) environments, pilot deployments, and technical demonstrations to validate solution performance and ensure alignment with customer expectations. As a trusted technical advisor, this individual will consult directly with IT leaders and stakeholders to assess current infrastructure, recommend improvements, and guide long-term modernization strategies. This is a highly collaborative, client-facing position ideal for an engineer who enjoys bridging technical execution with consultative solution design. What You’ll Do Implement & Deploy Network Solutions • Install, configure, and support enterprise switching, routing, wireless, and security solutions, • Perform system upgrades, migrations, and infrastructure rollouts, • Execute implementation plans aligned with approved designs, • Ensure solutions are deployed according to manufacturer best practices Pre-Sales Engineering & Technical Consulting • Participate in client discovery sessions with Account Executives, • Validate technical requirements and recommend appropriate architectures, • Assist with bill of materials (BOM) development and configuration review, • Provide technical input for proposals, RFP responses, and solution documentation, • Deliver technical presentations and whiteboard sessions Proof of Concept & Solution Validation • Design and execute PoC and pilot deployments, • Validate solution performance, scalability, and security, • Troubleshoot and refine configurations prior to full deployment, • Provide post-PoC recommendations and optimization guidance Field Services & Client Support • Provide on-site technical support and troubleshooting, • Conduct site assessments and infrastructure evaluations, • Maintain strong client relationships during and after implementation, • Deliver knowledge transfer and post-deployment support Documentation & Continuous Improvement • Maintain accurate technical documentation, • Provide feedback to sales and engineering teams based on field experience, • Stay current on product updates, certifications, and best practices Qualifications • 8+ years of experience in networking or infrastructure engineering, • Experience supporting enterprise-level deployments, • Strong hands-on experience with switching, routing, wireless, and network security, • Experience supporting pre-sales or client-facing technical engagements, • Excellent troubleshooting and problem-solving skills, • Strong communication and presentation abilities Preferred Experience • Experience supporting California SLED or K–12 clients, • Hands-on experience with Cisco, HPE, Aruba, Extreme Networks, and similar platforms, • Relevant certifications (CCNA, CCNP, Aruba, or equivalent), • Experience participating in RFP processes and competitive solution positioning Compensation & Benefits • Competitive base salary, • Performance-based incentives, • Medical and dental coverage, • Paid vacation and sick leave, • Retirement plan, • Professional development and certification support Why Join GigaKOM? • Established reputation in California’s public sector and enterprise markets, • Strong manufacturer and distributor partnerships, • Growing San Diego regional presence, • Diverse and impactful infrastructure projects, • Collaborative sales and engineering environment, • Long-term career growth opportunity

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. About Shield AI Shield AI is a defense technology company with the mission of protecting service members and civilians with intelligent systems. We build autonomy systems for air, maritime, space, and other platforms operating in complex and contested environments. Forge is the engineering platform used to build, integrate, test, and operate Hivemind capabilities. It connects autonomy developers with the applications, services, compute, data, and workflows they need to move from local development to deployed systems. The Role We are looking for a full-stack engineer to help shape the future of physical AI by building tools to develop, train, and validate autonomous systems. You will work across TypeScript and React applications, backend services, APIs, and Python data workflows, with an emphasis on extensibility and reuse. Your work will bring together internal platforms and open-source software across local and Kubernetes environments. You will build Forge capabilities for simulation, synthetic data generation, training, and test and evaluation, helping engineers turn ideas into proven autonomy capabilities. Working directly with Hivemind Pilot developers, Hivemind Solutions teams, and domain experts, you will translate complex workflows into reliable applications and reusable services. You will own features from user needs and design through implementation, deployment, and support. This role suits a generalist who wants meaningful ownership, enjoys moving between frontend and backend work, and is curious about the systems that connect them. You will help shape technical decisions and deploy and troubleshoot containerized services alongside platform engineers. Practical Kubernetes experience is a plus, particularly supporting applications in cloud or on-premises environments. What you'll do: • Build complete features across React interfaces, backend services, APIs, and data storage., • Translate complex technical workflows into intuitive applications with clear progress, results, and useful paths to investigate failures., • Design and evolve APIs and data models that support applications, automation, and integrations with other teams., • Contribute to a platform / application architecture directly through requirements or direct contribution., • Contribute to software that is meant to run in a multitude of environments from local workstations, to CICD, to airgapped Kubernetes clusters., • Test and support what you build, using logs, metrics, traces, and user feedback to improve reliability, performance, and usability., • Work directly with users, product, design, and engineering teams to define scope, make practical tradeoffs, and deliver improvements iteratively. Key outcomes: A successful engineer in this role will help deliver the following outcomes:, • Hivemind teams can complete development and evaluation workflows through coherent applications and dependable services., • Features work reliably across supported local and cluster environments, with clear diagnostics when something goes wrong., • Other teams can integrate with and extend Forge through documented APIs and reusable components., • Changes are straightforward to test, deploy, maintain, and support as the platform evolves. Required qualifications:, • Experience delivering and supporting production applications, with meaningful contributions to both frontend and backend development., • Proficiency with TypeScript and React, including component design, state management, asynchronous data handling, and API integration., • Experience building backend services in Go, Python, or a comparable language, including API design, validation, and error handling., • Experience working with databases and application data models, including querying, persistence, and schema changes., • Ability to reason about service interactions, authentication, authorization, background jobs, and failures across application boundaries., • Familiarity with containers, CI/CD, and deploying and debugging services in a shared environment., • Clear communication, sound engineering judgment, and the ability to work directly with users and carry work from an ambiguous problem to a supported solution. Preferred qualifications: Experience in every area below is not expected. Relevant experience may include:, • Hands-on Kubernetes experience deploying or troubleshooting applications, including Helm charts, service configuration, networking basics, and persistent storage., • Developer tools or technical applications for simulation, experimentation, training, test and evaluation, or deployment., • Job orchestration, distributed execution, or data-processing workflows using tools such as Ray, Kubernetes Jobs, Argo Workflows, or Dagster., • Schema-driven APIs, generated clients, or service integrations using OpenAPI, JSON Schema, Protocol Buffers, gRPC, or WebSockets., • Extensible applications, plugin systems, shared component libraries, or AI-assisted workflows and agent-tool integrations., • Applications deployed across cloud, on-premises, edge, or air-gapped environments; familiarity with robotics, autonomy, or simulation. Why join us:, • Own complete solutions. Shape the user experience, implement the services behind it, and see your work through deployment and real use., • Build software with direct mission impact. Help engineers develop, validate, and deliver autonomy capabilities more effectively., • Work alongside engaged users. Partner with autonomy, ML, and simulation experts and see how your decisions affect their daily work., • Influence a growing platform. Turn practical application needs into shared capabilities that benefit teams across Hivemind, including new AI-assisted engineering workflows. #LI-DM2 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Join our fast-paced and passionate team as a Senior Photonics Process Development Engineer focused on advanced packaging and tooling. As we scale, you will be instrumental in building our manufacturing foundation from the ground up. This is a dynamic, hands-on role for a highly self-directed engineer who thrives in an ambiguous, fast-moving environment. You will play a critical role in establishing scalable photonic manufacturing processes that directly enable product performance, reliability, and cost targets. Your work will contribute to how our technology transitions from prototype to production. You will collaborate closely with device, optical, electrical, mechanical, and manufacturing engineers to transform delicate photonic designs into robust, manufacturable, high-yield products. Impact: • Determine core assembly and packaging processes that enable company growth, • Create manufacturing strategies that scale from R&D to production, • Improve yield, reliability, and cost through process innovation and optimization, • Build tooling, fixtures, and automation approaches that enable repeatability Key Technical Areas: • Vacuum reflow soldering (AuSn, SAC, Indium, and related materials), • Wire bonding (Au and Al; ball and wedge), • Die bonding (epoxy, eutectic, and solder attach), • Optical assembly and active alignment (lenses, isolators, fiber arrays), • Fiber splicing and precision fiber handling (including PM alignment), • Hermetic sealing (laser welding, parallel seam sealing), • Adhesives and material characterization, • Process metrology and inspection (shear/pull testing, vision systems, interferometry, hermeticity testing), • Automation and semi-automation development Responsibilities: • Participates in end-to-end development of photonic assembly processes from concept through production release, • Create and execute the process development roadmap aligned with product and manufacturing goals, • Design statistically rigorous experiments (DOE) to optimize process windows, robustness, and yield, • Determine process control limits, qualification criteria, and acceptance metrics, • Transition processes from R&D to pilot and full manufacturing scale, • Process transfer to production, including equipment qualification (IQ, OQ, PQ), • Work on yield improvement initiatives and root-cause investigations for failures and reliability issues, • Participate in establishing engineering standards, documentation, and best practices, • Create process flows, work instructions, travelers, and training materials, • Apply Design for Manufacturability (DFM) principles and perform tolerance analysis, • Analyze and improve process capability (Cp/Cpk), • Support qualification, reliability testing, and failure analysis (including FMEA), • Perform precision fixtures, tooling, and mechanisms to enable repeatable assembly and alignment, • Collaborate with mechanical engineers and equipment vendors to develop manufacturable solutions and automation, • Ensure adherence to cleanroom protocols and contamination control practices, • Perform other related duties as required. Requirements • This position requires access to export-controlled information. Employment is contingent upon the applicant being a U.S. person as defined by 8 U.S.C. § 1324b(a)(3). Experience: • BS or MS in Optical Engineering, Electrical Engineering, Materials Science, Mechanical Engineering, Physics, or a related field., • 8+ years of relevant experience in photonics or optoelectronic process development., • 5-10 years of experience using manufacturing process equipment such as die bonders, wire bonders, vacuum reflow systems, active alignment platforms, or laser welding systems Preferred Qualifications: • Experience with laser diodes, PICs, modulators, detectors, or optical transceivers, • Familiarity with hermetic packaging (butterfly, TO, or micro-optical packages), • Experience with active alignment systems, • Reliability testing experience (thermal cycling, HTOL, damp heat), • Knowledge of statistical process control (SPC) and manufacturing metrics, • Experience supporting low- to medium-volume production environments, • Fixture and mechanism design experience in precision systems Startup Mindset: • Comfortable operating in an evolving environment with changing priorities, • Motivated by building new capabilities and infrastructure from the ground up, • Willing to take ownership across multiple technical domains, • Hands-on and resourceful, with a strong bias toward execution Benefits The expected annual salary range for this position is $125,000.00 to $175,000.00. As a full-time employee, you will be eligible for Monarch’s comprehensive benefits package, which includes: • Medical, Dental, and Vision insurance, • Fidelity 401(k) plan with 4% employer matching, • 20 paid time off (PTO) days per year, • 13 paid company holidays, • 9/80 work schedule (every other Friday off) Monarch Quantum is proud to be an equal opportunity employer and does not discriminate on the basis of race, color, citizenship status, national origin, ancestry, sex, sexual orientation, age, religion, creed, physical or mental disability, medical condition, marital status, veteran status or any other characteristics protected under applicable federal, state and local laws.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI's Hivemind Detection, Tracking, and Mapping (DTM) team develops perception capabilities that allow autonomous systems to understand objects, motion, sensors, and terrain across air, maritime, and ground domains. We are seeking a Staff Engineer to develop these capabilities from algorithms and production C++ libraries through integration, verification, and delivery in the Hivemind SDK. This is a full-stack perception product-development role. You will bring depth in at least one core area such as object detection, object tracking, computer vision, image processing, sensor modeling, or sensor fusion, and work comfortably across adjacent parts of the stack. You will help turn prototypes, research, and partner-developed technology into reusable, configurable, well-tested product capabilities. What you'll do: • Design and implement production perception capabilities in modern C++, with emphasis on clear interfaces, correctness, performance, maintainability, and automated test coverage., • Own features across the development lifecycle: clarify requirements, evaluate technical approaches, develop algorithms and libraries, integrate them into the Pilot runtime, and carry them through SDK validation, documentation, and release readiness., • Contribute deep technical judgment in one or more DTM areas, including object detection, object tracking, computer vision, image processing, sensor and measurement modeling, mapping, or multi-sensor fusion., • Work across adjacent layers such as sensor data contracts, coordinate frames, timing, configuration, simulation, replay, analyzers, embedded deployment, and end-to-end perception workflows., • Diagnose difficult system behavior using source code, logs, recorded sensor data, simulation, and focused experiments; drive issues from symptom through root cause, corrective action, and regression coverage., • Participate in design reviews and code reviews, communicate technical tradeoffs concisely, mentor other engineers, and help improve the architecture and engineering practices of the DTM stack., • Use modern AI-assisted engineering tools effectively while remaining accountable for the design, technical accuracy, security, test coverage, and reviewability of the resulting work., • Evaluate how emerging foundation-model capabilities may strengthen detection, tracking, image understanding, simulation, and perception workflows, and help identify practical paths from promising technology to dependable product capability.Required qualifications:, • Significant professional experience developing and delivering production C++ software for robotics, autonomy, perception, real-time systems, simulation, or another complex technical product., • Deep experience in at least one relevant technical area, such as object detection, object tracking, computer vision, image processing, sensor modeling, sensor fusion, estimation, or mapping., • Demonstrated ability to work beyond a prototype or isolated algorithm and deliver maintainable software with clear interfaces, tests, diagnostics, documentation, and integration into a larger system., • Strong debugging and systems-thinking skills, including the ability to reason across algorithms, software architecture, data contracts, configuration, timing, coordinate frames, compute behavior, and sensor data., • Proficiency with Python tools for technical analysis, visualization, experimentation, or verification., • Experience collaborating across teams and disciplines, making sound technical decisions amid ambiguity, and communicating designs, risks, and review feedback clearly and constructively., • Experience using—or the demonstrated ability to quickly adopt—modern AI-assisted development tools with disciplined human review and validation.Preferred qualifications:, • Experience developing software for autonomous aircraft, maritime systems, ground robots, automotive systems, defense applications, or other operationally deployed robotic platforms., • Experience with multi-target tracking, data association, estimation, multi-sensor or multi-agent fusion, angle-only tracking, or measurement modeling., • Experience with EO/IR imagery, video pipelines, radar, LiDAR, GNSS/INS, camera models, calibration, or time-aligned sensor data., • Familiarity with embedded Linux, edge or GPU compute, CUDA, TensorRT, NVIDIA Jetson, Qualcomm, or comparable deployment environments., • Experience with simulation, hardware-in-the-loop testing, recorded-data replay, performance analyzers, or evaluation against real-world sensor data., • Familiarity with modern C++ package, build, configuration, and CI systems such as CMake, Nix, Conan, GitLab CI, or comparable tooling., • Practical familiarity with vision foundation models, vision-language models, learned visual representations, or the data and evaluation workflows needed to adapt foundation models to robotics and autonomy., • Experience turning research, IRAD, partner-developed, or program-specific software into reusable product libraries and stable integration contracts. This role is hybrid and based at Shield AI's San Diego, CA headquarters, with three days per week in the office as the baseline. Candidates currently outside San Diego who are willing to relocate are encouraged to apply. Senior Engineer: $165,000-$250,000 Staff Engineer: $200,000-$300,000 #LI-KC3 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Hivemind Pilot group in Hivemind Enterprise org builds algorithms and production platform-agnostic AI/autonomy software that enable teams of edge systems to perceive, reason and act toward achieving mission objectives in complex and dynamic mission environments. Our work sits at the intersection of artificial intelligence, robotics, and real-time autonomous systems. As an Autonomy Integration Lead, you will be responsible for bringing together various autonomy components into integrated reference implementations that enable targeted concept of operations, and taking these through software-in-loop and hardware-in-loop verification. You will draw on your breadth in autonomy to ensure harmonious execution of all autonomy components for effective mission enablement. What you'll do: • Build and maintain stable Pilot integrated implementations, reference configurations, reusable test fixtures, and representative end-to-end examples., • Partner with component teams as they add capabilities to the shared integration environment, maintain the integration baseline, and help resolve gaps in shared workflows, test harnesses, or extensibility., • Develop and maintain automated software-in-the-loop and hardware-in-the-loop tests that exercise behavior across autonomy components., • Develop and maintain glue layer between mission autonomy software and platform software for easy integration and deployment of the stack., • Investigate failures across system boundaries. Reproduce and instrument each problem, isolate the responsible layer, fix integration-owned defects, and give the owning team clear evidence when a component or infrastructure change is required., • Support deployment of the integrated autonomy stack to representative hardware, including software configuration, telemetry, interface troubleshooting, and lab or field debugging., • Work with the Flight Operations team to define test objectives, prepare integrated software and instrumentation, assess test readiness, support troubleshooting during test events, and analyze integration failures afterward., • Write and maintain setup guides, reference configurations, troubleshooting runbooks, and executable examples. Contribute technical material to Pilot training. Projects you might work on:, • Drive strategy and implementation diverse set of autonomy reference integrations to serve various representative missions., • Develop workflows and tooling to enable seamless deployment of autonomy software on edge devices., • Develop documentation to assist a user of the product to easily pull together custom autonomy integrationsPreferred qualifications:, • Bachelor's degree in Computer Science, Robotics, Artificial Intelligence, or equivalent practical experience., • Demonstrated experience through professional work, internships, research, or substantial projects building, testing, and debugging nontrivial C++ software for perception, planning, robotics, autonomous systems, or a closely related algorithmic domain., • Experience writing and debugging modern C++, including safe use of common concurrency patterns and the ability to diagnose issues such as data races, deadlocks, and lifetime errors., • Working experience with Python for prototyping, analysis, automation, or testing., • Strong software engineering fundamentals, including algorithms, data structures, testing, debugging, and maintainable software design., • Practical experience developing and debugging software on Linux., • Practical experience working with build / dependency management systems such as Conan or Nix.Preferred qualifications:, • Master’s degree in AI. Computer Science, Robotics or similar., • Breadth of experience across the autonomy stack (Perception, Localization and Planning)., • Experience with multi-agent autonomy, • Experience applying VLMs or VLAs to planning, reasoning, tool use, or autonomous decision-making., • Experience delivering software for fielded, real-time, safety-critical, or resource-constrained autonomous systems., • Experience with software-in-the-loop or hardware-in-the-loop simulation, performance profiling, or distributed systems. #LI-KC3 #LE Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionDescription: Pride Resource Partners is seeking experienced Power Line Field Inspectors (Electric Distribution Inspector) to perform detailed overhead infrastructure inspections for transmission and distribution systems. This position plays a critical role in identifying asset conditions, documenting field findings, and supporting risk-informed maintenance programs designed to enhance grid reliability and wildfire prevention. Inspectors are responsible for performing both ground-based and aerial-assisted inspections (in coordination with a drone pilot teammate), capturing high-resolution imagery, and documenting conditions in accordance with company quality standards and governing construction and maintenance codes. Key Responsibilities • Perform visual and photographic inspections of overhead transmission and distribution assets following prescribed inspection methodologies., • Identify and document asset conditions requiring maintenance, repair, or data correction using standardized inspection tools and software., • Capture high-quality imagery from the ground or via UAS collaboration, ensuring complete 360°ree; structure coverage and accurate structure association., • Prepare and upload inspection data, photographs, and notifications to secure cloud systems with accuracy and timeliness., • Apply inspection codes, component identifiers, and defect classifications in accordance with governing construction standards., • Conduct pre-job tailboards, complete daily safety briefings, and adhere to all Safety Management System (SMS) protocols., • Communicate field constraints, access limitations, or environmental sensitivities through established reporting channels., • Engage respectfully with property owners, customers, and the public to facilitate inspection access and field coordination., • Support quality review processes and corrective actions when required., • Participate in safety meetings, orientation sessions, and ongoing refresher training., • Work as part of a 2-person team to conduct all inspections while maintaining strict adherence to safety policies and procedures.Requirements:, • Minimum 18 months of experience performing overhead electrical utility inspections or equivalent field construction experience within the past 3 years. Applicants with less than 18 months of experience are still encouraged to apply. Other open positions are available for those that qualify., • Strong understanding of overhead electrical systems, including pole-top equipment, conductors, and hardware., • Ability to read and interpret utility standards, work orders, and structure maps., • Proficiency with tablet- or mobile-based inspection software and structured data entry tools., • Experience documenting photographic evidence with digital cameras or mobile capture systems., • Valid driver’s license and clean driving record; ability to travel daily throughout assigned regions., • Excellent written and verbal communication skills, with strong attention to detail. Preferred Qualifications • Prior experience in transmission or distribution inspection programs, vegetation management, or pole assessments., • Familiarity with General Orders 95 and 165 or equivalent regulatory standards., • Understanding of utility priority notification systems and maintenance classification processes., • OSHA 10 or 30 Construction Safety Certification., • Experience collaborating with UAS flight teams or remote inspection programs., • Background in electrical, civil, or structural field work. Work Environment & Expectations • Field-based role with work in outdoor and remote environments., • May include extended hours or weekend work to meet inspection schedules., • Must maintain compliance with all safety protocols and SMS., • Ability to lift and carry up to 65 lbs. of equipment. Compensation & Schedule • Full-time position with competitive hourly rate., • Per diem, hotel, travel reimbursement, and field allowances paid per project guidelines., • Multi-year inspection programs with opportunity for advancement and extended project assignments. About Pride Resource Partners Since 2015, the team at Pride Resource Partners has delivered high-value project management, inspection services, and aerial operations support for major utility and infrastructure clients across the western United States. Our team integrates advanced technology, data analytics, and safety best practices to deliver precision, reliability, and operational excellence across every project we manage. Our inspection teams uphold the highest standards of compliance, accuracy, and quality to help our clients maintain a reliable, resilient, and wildfire-safe electrical grid. Learn more about our team: www.PrideRP.com

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: As a Senior Principal Engineer, you will establish and lead the technical direction of Guidance, Navigation, and Control (GNC) and State Estimation within Hivemind Enterprise (HME). You will build the team and capabilities that enable customers to develop, integrate, validate, and deploy reliable autonomy across aircraft platforms. You will bring at least 15 years of GNC domain experience, deep expertise in aircraft dynamics, flight controls, navigation, and state estimation, and a demonstrated record of delivering production autopilot or flight-control software. As a hands-on technical leader, you will develop algorithms, contribute production software, guide critical engineering decisions, and establish a fast, rigorous development cycle spanning simulation, hardware-in-the-loop testing, and flight testing. Working with stakeholders across Hivemind Enterprise, Hivemind Solutions, and Shield AI’s aircraft organizations, you will define HME’s GNC and State Estimation technical roadmap and translate it into reusable platform capabilities and customer deliverables. You will help drive our Runtime Assurance (RTA) solution and deliver the required capabilities that will help our customers develop the technical evidence needed to support airworthiness of their platforms. This role combines senior individual-contributor leadership with the opportunity to establish a new engineering team. You will attract and mentor exceptional engineers and build trusted relationships with GNC and State Estimation leaders throughout Shield AI. What you'll do: • Establish the technical vision and roadmap. Own HME’s GNC and State Estimation technical strategy, architecture, and development priorities. Align investments with product management, customer requirements, aircraft needs, and the roadmaps of partner organizations., • Build the team from the ground up. Define the capabilities and technical roles the team needs, help recruit and assess outstanding engineers, and establish effective onboarding, mentorship, and engineering standards. Partner with engineering leadership to grow a strong, collaborative technical organization., • Lead hands-on algorithm development. Design, implement, tune, and validate guidance, navigation, flight-control, and state-estimation capabilities. Take direct ownership of difficult technical problems and contribute to critical algorithms, production code, and engineering tools., • Deliver production autopilot and flight-control software. Guide capabilities from requirements and initial models through embedded implementation, integration, verification, customer deployment, and sustainment. Address real-time behavior, numerical robustness, hardware constraints, and fault handling., • Build a reusable GNC platform. Establish modular algorithms, interfaces, vehicle and sensor abstractions, configuration mechanisms, and validation tools that support multiple aircraft and customer integrations. Enable portability between simulation and deployed environments while preserving platform-specific performance and assurance requirements., • Accelerate the simulation-to-flight development cycle. Work with simulation and test teams to establish high-fidelity vehicle and sensor models, automated software-in-the-loop and hardware-in-the-loop testing, Monte Carlo analysis, and regression coverage. Use flight data to improve models, tune algorithms, investigate anomalies, and validate subsequent releases., • Drive GNC and estimation contributions to RTA. Partner with the RTA, safety, and HME pilot teams on monitoring, protection, and recovery capabilities. Lead relevant algorithm development, tuning, integration, and validation., • Guide customers through technical airworthiness work. Help customers establish platform-specific assumptions, requirements, operating limits, verification plans, and supporting evidence. Work with systems safety and airworthiness specialists to address findings and support technical reviews throughout integration and qualification., • Build trusted technical partnerships across Shield AI. Develop strong working relationships with peer GNC and State Estimation leaders. Establish shared reviews, exchange lessons from simulation and flight testing, identify opportunities for reuse, and resolve technical differences through clear analysis and collaborative decisions. Required qualifications:, • At least 15 years of professional experience in GNC, including substantial hands-on development of aircraft flight controls, autopilot capabilities, navigation, and state estimation., • Expert knowledge of aircraft dynamics, stability and control, guidance, and estimation, with demonstrated ability to apply that knowledge to practical flight systems., • Deep experience with state estimation and sensor fusion, including inertial navigation, Kalman or nonlinear filtering, sensor characterization, and evaluation of estimation accuracy, consistency, and robustness., • A demonstrated record of shipping and supporting production autopilot, flight-control, or integrated GNC software, including direct involvement in flight testing and deployment to operational aircraft or customer platforms., • Significant experience as a technical lead, Principal Engineer, chief engineer, or equivalent, with ownership of complex technical decisions and influence across multiple engineering teams., • Demonstrated ability to recruit, mentor, and develop strong technical talent, including experience establishing a new engineering capability or building and growing a specialist team., • Strong current proficiency in C++ for production, real-time software, together with MATLAB/Simulink or equivalent modeling tools and Python or comparable analysis and automation tools., • Extensive experience designing, tuning, and validating GNC systems through high-fidelity simulation, software-in-the-loop testing, hardware-in-the-loop testing, and flight-test analysis., • Experience with safety-critical development and verification, including requirements traceability, technical reviews, configuration management, and generation of evidence supporting qualification or airworthiness., • Experience designing reusable algorithms, libraries, interfaces, or development tools that serve multiple platforms, programs, or engineering teams., • Ability to work effectively in a modern development environment using version control, code review, continuous integration, automated testing, and reproducible simulation and analysis workflows., • Strong communication and collaboration skills, with a record of establishing technical roadmaps, delivering against commitments, incorporating customer feedback, and earning the trust of senior technical peers., • Master's degree in aerospace engineering, Electrical Engineering, Mechanical Engineering, Robotics, Applied Mathematics or Computer Science Preferred qualifications:, • Experience with GCAS / ACAS, detect-and-avoid, flight-envelope protection, or related flight-safety capabilities., • Direct experience developing or validating Runtime Assurance architectures, safety monitors, recovery controllers, or assured-autonomy capabilities., • Experience guiding customers or aircraft programs through military or civil airworthiness processes, including engagement with relevant technical authorities., • Familiarity with DO-178C or comparable development-assurance processes and RTA guidance., • Experience deploying navigation and estimation capabilities in GNSS-degraded or denied environments, including integration of APNT sources., • Experience across multiple aircraft configurations, such as fixed-wing, VTOL, or rotorcraft, and adapting shared GNC capabilities to different flight envelopes., • Advanced expertise in areas such as robust or nonlinear control, model predictive control, trajectory optimization, system identification, or advanced estimation., • Master’s degree or PhD with an emphasis on controls, navigation, estimation, robotics, or autonomous systems. #LI-DM2 #LG Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Join our fast-paced and collaborative team as a Senior Engineering Technician with a Focus on Optical Fiber Processes. In this hands-on role, you will support the development, optimization, and scaling of critical fiber-handling and integration processes that directly impact product performance, reliability, and manufacturability. You will work closely with the optical fiber process development engineers. This role is ideal for someone with strong practical experience in fiber preparation and integration who enjoys working at the intersection of R&D and manufacturing. Key Responsibilities: Support the development and execution of fiber-centric processes, including: • Precision fiber cleaving, stripping, and preparation (SM, PM, specialty fibers), • Fusion splicing (including low-loss and polarization-maintaining alignment), • Fiber end capping and handling for high-poser or sensitive applications, • Fiber cleaning, preparation, and contamination control practices, • Inspection and analysis of fiber end-faces and splice quality Support photonic assembly and integration: • Fiber-to-device coupling and alignment (active and passive), • Integration of fibers into packages (TO, butterfly, micro-optic assemblies), • Optics attach (lenses, isolators, fiber arrays) Process development & improvement: • Execute DOE to improve optical performance, yield, and repeatability, • Follow process flows, work instructions, and travelers, • Troubleshoot issues related to optical loss, fiber damage, and process variability, • Support transition of processes from development into pilot and early-stage production, • Support tooling, fixturing, and automation strategies for fiber handling Requirements • This position requires access to export-controlled information. Employment is contingent upon the applicant being a U.S. person as defined by 8 U.S.C. § 1324b(a)(3). Experience: • Associate’s degree or High School Diploma and Equivalent Experience in a pertinent environment, • 3+ years with demonstrated hands-on expertise with fiber processes in a production or R&D environment, • Hands-on experience with fiber handling and processing in a lab or manufacturing environment Core Skills: • Fiber cleaving, stripping, and preparation techniques across a range of fiber types, • Fusion splicing (including PM fiber alignment and loss optimization), • Fiber end capping and high-power handling considerations, • Fiber inspection methods (microscopy, interferometry, or equivalent), • Strong understanding of contamination control and cleaning methods, • Experience with fiber alignment and optical coupling, • Ability to work effectively in lab and cleanroom environments Preferred Skills: • Experience with high-power fiber or laser systems, • Strong documentation and communication skills, • Experience with active alignment systems, • Exposure to reliability testing (thermal cycling, HTOL, damp heat), • Train junior technicians or operators, • Lead build efforts for critical prototypes or customer deliverables, • Provide feedback into design for manufacturability (DFM), • Quantifying splice loss, return loss, PER (for PM fibers), • Use of optical test equipment (OSA, power meters) Basic data analysis (Excel, JMP) Benefits The anticipated hourly pay for this role ranges from $30.00 to $45.00. As a full-time employee, you will be eligible for Monarch’s comprehensive benefits package, which includes: • Medical, Dental, and Vision insurance, • Fidelity 401(k) plan with 4% employer matching, • 20 paid time off (PTO) days per year, • 13 paid company holidays, • 9/80 work schedule (every other Friday off) Monarch Quantum is proud to be an equal opportunity employer and does not discriminate on the basis of race, color, citizenship status, national origin, ancestry, sex, sexual orientation, age, religion, creed, physical or mental disability, medical condition, marital status, veteran status or any other characteristics protected under applicable federal, state and local laws.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are hiring a Software Engineer, Autonomy Integration, who will be embedded in the Planning and Controls team and work day to day with Pilot's cross-functional Integration team. In this hands-on software role, you will build durable integration capability: reliable environments, representative end-to-end tests, diagnosable failures, and software that is ready for hardware and flight testing. You will draw on your experience in planning, controls, or autonomy decision-making and your systems integration skills to work across domain boundaries. The Pilot Integration team provides stable reference integrations that component teams can use to add new capabilities and prove that they work as part of the larger autonomy stack. It builds and maintains the environments where Hivemind Pilot's autonomy capabilities come together. The team's work spans planning and controls, perception, simulation, vehicle interfaces, deployment, and system-level testing. We are hiring across multiple experience levels. Depending on experience, engineers may begin with well-defined integrations and tests or independently own end-to-end workflows and ambiguous cross-system investigations. What you'll do: • Build and maintain stable Pilot integration environments, reference configurations, reusable test fixtures, and representative end-to-end examples., • Partner with component teams as they add capabilities to the shared integration environment, maintain the integration baseline, and help resolve gaps in shared workflows, test harnesses, or extensibility., • Develop and maintain automated software-in-the-loop and hardware-in-the-loop tests that exercise behavior across autonomy components., • Integrate and debug production software across planning and controls, simulation, vehicle interfaces, and other parts of the autonomy stack., • Investigate failures across system boundaries. Reproduce and instrument each problem, isolate the responsible layer, fix integration-owned defects, and give the owning team clear evidence when a component or infrastructure change is required., • Develop integration-oriented bridge blocks and adaptors for common vehicle and hardware interfaces, along with the tests and documentation needed to maintain them., • Improve repeatability with focused integration tooling for configuration validation, deployment, diagnostics, log collection, test orchestration, and failure triage., • Support deployment of the integrated autonomy stack to representative hardware, including software configuration, telemetry, interface troubleshooting, and lab or field debugging., • Work with the flight-test team to define test objectives, prepare integrated software and instrumentation, assess test readiness, support troubleshooting during test events, and analyze integration failures afterward., • Write and maintain setup guides, reference configurations, troubleshooting runbooks, and executable examples. Contribute technical material to Pilot training., • Surface brittle interfaces and recurring integration problems so that the responsible Pilot teams can make informed architectural decisions., • Improve integration quality by reducing integration defects and increasing end-to-end test readiness. Required qualifications:, • Bachelor's degree in a field such as computer science or robotics, or equivalent practical experience., • Experience developing or integrating planning, controls, or autonomy decision-making software., • Strong production software engineering skills in modern C++ and Python., • Hands-on experience integrating software with robotic or autonomous hardware, including deployment, interfaces, telemetry, and lab or field debugging., • Experience with software-in-the-loop or hardware-in-the-loop testing and automated system-level tests., • Experience developing and debugging software on Linux., • Strong systems-debugging skills, including the ability to reason across configuration, software, network, timing, and hardware boundaries., • Ability to write maintainable tests and tools for distributed or real-time systems., • Ability to communicate technical findings clearly and work effectively with engineers from several disciplines., • Ability to travel periodically and support lab, field, or flight-test events that may occur outside normal working hours. Preferred qualifications:, • Experience integrating across several autonomy domains, such as perception, state estimation, planning, controls, simulation, communications, or vehicle interfaces., • Experience supporting aircraft integration or flight-test readiness., • Experience with robotics middleware, vehicle protocols such as MAVLink, or integration adaptors., • Experience designing repeatable, diagnosable end-to-end test environments for complex autonomous systems., • Experience with configuration-driven systems, dependency compatibility, observability, or automated test orchestration., • Experience delivering software for fielded, real-time, safety-critical, or resource-constrained systems., • A record of leading ambiguous technical investigations or mentoring engineers through complex integration work. #LI-KC3 #LC Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Ligand Ligand Pharmaceuticals is a biopharmaceutical company focused on developing or acquiring technologies that help pharmaceutical companies develop medicines. Ligand's business model is built around creating and acquiring royalty-generating assets, partnering with a broad range of pharmaceutical and biotech companies to advance drug development programs, and generating long-term, diversified royalty revenue. Culture Statement Ligand has a culture that reflects its distinctive position as Biopharma's Technology and Capital Partner, combining entrepreneurial biotechnology innovation with the analytical rigor required for sophisticated investment decisions. The organization values independent thinking, intellectual honesty, and initiative. Professionals are expected to be direct but polite, curious, and able to navigate complexity. Team members possess exceptional analytical capabilities, applying technical knowledge and numerical fluency to deliver results based on hard work and an unwavering focus on outcomes. What distinguishes Ligand is the ability to balance short-term execution with long-term strategic vision, encouraging insightful analysis and independent thinking that sometimes leads to contrarian positions. It allows Ligand to identify valuable opportunities before they gain broad market recognition and pursue superior risk-adjusted returns. The company values external awareness, agility, and responsiveness. Ligand expects team members to develop industry knowledge and relationships that lead to new opportunities and deliver results. While we seek individual excellence, the culture emphasizes collaboration in the pursuit of exceptional outcomes. Our mission is important to patients, as we fund and invest in life-changing drugs that deliver highly positive impact to severe and life-threatening diseases. Ligand seeks motivated individuals ready to apply analytical skills, navigate complexity, and contribute to shaping biotechnology's future through strategic partnerships and capital investment. ROLE PURPOSE Lead Ligand’s information systems, data, analytics, and artificial intelligence strategy and execution reporting to the CFO. This role converts business needs into secure, scalable technology and data solutions that improve productivity, decision-making, risk management, and long-term value creation. The position partners with senior leaders and functional teams to prioritize investments, strengthen governance, drive adoption, and measure business impact. Work Location: This position may be based in either San Diego, CA, or Boston, MA. Key Responsibilities Technology, AI & Data Strategy • Develop and execute an integrated information systems, data, analytics, and AI strategy aligned with Ligand’s business priorities and growth objectives., • Advise senior leadership on technology investments, enterprise platforms, automation, analytics, emerging technologies, and related risks., • Partner with business leaders to identify, prioritize, and deliver practical solutions with measurable operational and financial impact. AI, Automation & Analytics • Lead the full lifecycle of AI, automation, and analytics initiatives, from business case and pilot through implementation, adoption, monitoring, and scale., • Establish responsible AI practices covering model development, security, privacy, legal review, governance, and appropriate use., • Build organizational capability and adoption through clear change management, training, and user-centered implementation., • Define and report metrics for adoption, performance, return on investment, and business outcomes. Data Strategy, Governance & Architecture • Establish fit-for-purpose data governance standards for data quality, classification, ownership, access, lineage, metadata, retention, security, and compliance., • Assess the current data and analytics environment and define a scalable target architecture that supports reporting, advanced analytics, and AI., • Oversee data models, integration patterns, data pipelines, storage solutions, and data products to ensure reliable and efficient access to information., • Advance self-service reporting and analytics while maintaining appropriate controls and data integrity. Enterprise Systems & Infrastructure Partnership • Lead or support the selection, implementation, integration, optimization, and adoption of enterprise platforms across finance, investments, customer relationship management, human resources, legal, reporting, collaboration, and analytics., • Partner with infrastructure, cybersecurity, and enterprise architecture resources to ensure solutions are secure, resilient, interoperable, and aligned with technology standards., • Oversee monitoring, availability, performance, and continuous improvement for data and AI platforms. Cybersecurity, Risk & Compliance • Oversee or coordinate technology risk, cybersecurity, data protection, business continuity, disaster recovery, and incident response activities., • Ensure technology, data, and AI practices support applicable privacy, regulatory, quality, and compliance requirements, including the needs of a life sciences organization., • Support technology and cybersecurity due diligence for investments, acquisitions, portfolio companies, and new business initiatives. Leadership, Budget & Vendor Management • Build and lead internal and external capabilities across AI, data governance, architecture, engineering, business intelligence, enterprise systems, and support., • Develop and manage budgets, roadmaps, resource plans, and delivery priorities for technology, data, and AI initiatives., • Manage vendor strategy, due diligence, contracting, performance, service levels, and cost effectiveness., • Communicate strategy, progress, risks, recommendations, and results clearly to senior leadership and business stakeholders. Qualifications • 12+ years of progressive experience in information systems, data, analytics, AI, or related technology roles, including at least 7 years in leadership positions., • Bachelor’s degree in a relevant field required; advanced degree preferred., • Demonstrated experience designing and implementing enterprise-scale data solutions, AI applications, automation, and modern cloud-based platforms such as Azure or AWS., • Deep working knowledge of data strategy, architecture, engineering, governance, advanced analytics, data modeling, integration, database management, and data security., • Recent hands-on leadership of AI implementation, including generative AI, machine learning, large language models, or intelligent automation. Experience building an internal AI assistant or similar enterprise tool is preferred., • Experience introducing new technology capabilities through structured change management, adoption planning, training, and measurement., • Experience in life sciences and familiarity with regulated functions such as quality, regulatory, compliance, and FDA-related requirements preferred., • Proven ability to influence across functions, simplify complex issues, make sound decisions, and communicate effectively with senior leaders and technical teams., • Strong vendor, budget, program, and team leadership capabilities. Success in the Role • A clear, prioritized technology, data, and AI roadmap tied to business needs., • Secure, reliable, and scalable systems and data platforms., • Practical AI and automation solutions that are adopted and produce measurable value., • Stronger data quality, governance, reporting, and decision support., • Disciplined investment, vendor performance, risk management, and transparent communication. Benefits and Compensation • Compensation, • The expected salary range for this position is $220,000 - $265,000 Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors., • Annual incentive bonus, • Generous equity package, • Benefits The company offers competitive benefits including flexible work schedule, medical, dental, vision, Short/Long term disability and life insurance, as well as 401(k) match, Stock Options, Bonus, and paid time leave. Additional Information • All new hires are required to go through a background and reference check, • Ligand is an EEO/AA/Disability/Vets employer, • Must be legally authorized to work in the US without sponsorship, • Ligand celebrates the diversity of life and welcomes all individuals to apply Ligand proudly complies with the Americans with Disability Act of 1990, and as such, provides the details relating to the physical, environmental conditions and workplace demands of working at Ligand are available from Human Resources. Please Note: Resumes submitted in response to this job description will not be accepted through third-party recruiting firms or staffing agencies. All applications must be submitted directly by individual candidates. Unsolicited resumes from recruiters will be considered the property of Ligand, and Ligand will not be responsible for any fees related to such submissions

Spring Education Group’s K-12 Division includes nearly 75 schools, with programs spanning Preschool, Elementary, Middle School, and High School. Across all our K-12 schools, the common theme is our dedication to providing high-quality education and delivering superior educational outcomes through a variety of acclaimed pedagogical approaches. Our private elementary schools provide challenging academics, personalized attention for each student, and strong partnerships among parents, teachers, students, and staff. Our proven curricula and our caring community of educators are committed to delivering superior preschool through 12th grade education. Spring Education Group is seeking an Early Childhood Education Manager to support its IK12 Division. This role will be part of the IK12 Education Team, which includes a Senior Director and a K–12 Education Manager. The ECE Manager will report to the Senior Director and serve as the division’s principal early childhood literacy expert. This is a remote role; however, qualified candidates must reside in California, Nevada, Texas, or Arizona. The role requires periodic travel to our Spring Education Group Home Office in California and frequent travel to school campuses. • Serve as the lead expert on early childhood literacy for the IK12 Education Team., • Identify and update phonics-based literacy resources aligned with the Links to Learning curriculum., • Promote and communicate literacy resources across IK12 schools, leveraging regional directors, on-campus leader mentors, and instructional mentor teachers., • Review, develop, and pilot new literacy resources over time., • Create and deliver onboarding and ongoing professional development for teachers and school leaders — both in-person and online., • Guide and coordinate the work of four IK12 ECE Leader Mentors., • Collaborate with regional directors and principals to select and manage a cohort of 30 Links to Learning Instructional Mentor Teachers (IMTs)., • Support the implementation of Academic Pre-K, a programmatic shift launching in the 2026–27 school year in approximately 15 pre-kindergarten classrooms that will augment the Links to Learning curriculum with direct instruction in academic skills, including phonics-based reading instruction and foundational mathematics., • Facilitate a cohort of Academic Pre-K mentor teachers., • Bachelor’s degree required; degree in Early Childhood Education, Literacy, Reading Specialist, or related field strongly preferred., • Demonstrated expertise in early literacy instruction, including phonics-based and developmentally appropriate approaches., • Kindergarten teaching or instructional leadership experience strongly preferred., • Experience designing and delivering professional learning for adult educators (virtual and in-person)., • Strong communication and coaching skills across multiple school sites and regions., • Proven ability to manage complex, multi-stakeholder projects across diverse school environments., • Experience with curriculum frameworks or developing instructional resources preferred., • Ability to analyze instructional needs and use data to inform development of resources and training., • Comfortable working independently in a remote setting, while collaborating with cross-functional teams., • Willingness and availability to travel periodically to school sites and the California-based Home Office., • Full medical, dental, and vision coverage, • 401(k) with company match, • Flexible spending accounts (FSA), • Tuition remission for employees’ children, • Continued education tuition savings through our university partners To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. In general, this position requires an individual to frequently walk, stand, sit, squat, stoop, reach, kneel, rise from the floor, twist, listen, read, write, and speak the English language. In addition, this position often requires an individual to carry, lift, use repetitive or fine hand movements, and occasionally push, pull, or bend. This position is regularly required to hear and use clear vision with or without correction. Spring Education Group, including, but not limited to SEG Inc., and their affiliates (collectively “Company”) is an Equal Opportunity Employer. All qualified applicants for employment and employees are provided equal employment opportunities, including in recruitment, hiring, and assignment, without regard to actual or perceived race, color, religion and religious creed, sex (including pregnancy and related conditions), sexual orientation, gender identity, gender expression, marital or familial status, age, national origin, ancestry, disability, genetic information, military/veteran status, or any other classification protected by federal, state, or local law. The Company expressly prohibits any form of unlawful employee or student harassment or discrimination.