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Job Description The Robotics Equipment Engineer will support a new campus by focusing on KUKA robotics and systems integration within an industrial automation environment. This role designs, integrates, and optimizes robotic equipment and control systems, with a strong emphasis on KUKA robots and the interfaces to welding, fastening, and testing equipment. The engineer collaborates closely with cross-functional teams to ensure reliable, efficient, and scalable automation solutions across a multi-building manufacturing campus. Responsibilities • Design, integrate, and commission KUKA robotic systems for industrial automation applications within a high-volume manufacturing environment., • Develop and implement robotics integration strategies that ensure seamless operation between KUKA robots and associated production equipment., • Configure and optimize robotic programs to support automated processes such as welding, fastening, and testing operations., • Integrate KUKA robots with weld guns (spot), weld controllers, Atlas Copco fastening tools, Hipot testers, CTS leak testers, and related automation equipment., • Collaborate with controls engineers to interface KUKA robotics with Siemens PLCs and control architectures, including TIA Portal where applicable., • Troubleshoot robotics and control system issues, identify root causes, and implement corrective actions to minimize downtime., • Support the installation, testing, and validation of new robotic equipment and automation cells across the megafactory campus., • Contribute to the development and maintenance of documentation for robotic systems, including integration schematics, configuration details, and operating procedures., • Work closely with manufacturing, maintenance, and engineering teams to improve system performance, reliability, and safety., • Participate in continuous improvement initiatives to enhance automation efficiency and standardize robotics integration practices across the facility. Essential Skills • Hands-on experience with KUKA robotics, including programming, setup, and troubleshooting in an industrial environment., • Proven in robotics integration and systems integration within industrial automation., • Practical experience in industrial automation, with a focus on integrating robotic equipment into production processes., • Knowledge of controls engineering principles as they relate to robotic systems and automated equipment., • Ability to integrate KUKA robots with welding, fastening, and testing equipment used in manufacturing., • Strong problem-solving skills for diagnosing and resolving robotics and control system issues., • Ability to collaborate effectively with cross-functional engineering and production teams in a manufacturing setting. Additional Skills & Qualifications • Experience with Siemens PLCs and control systems, including TIA Portal, is highly desirable., • Familiarity with Siemens-based control architectures and PLC programming for automation applications., • Experience interfacing KUKA robots with weld guns (spot), weld controllers, Atlas Copco fastening tools, Hipot testers, CTS leak testers, and similar equipment., • in controls engineering, including configuration and integration of PLCs, robots, and peripheral devices., • Exposure to large-scale manufacturing or megafactory environments with multi-building campuses., • Ability to adapt to evolving automation requirements and support long-term, scalable integration solutions.

Job Description Job Title: Quality Engineer-Customer Support Location: Houston, TX Company Overview: Established in Taiwan in 1974, Hon Hai Technology Group, commonly known as Foxconn, is the world’s largest electronics manufacturer and leading provider of technological solutions with a network of over 200 campuses across 24 countries. In the US, Foxconn employs 6,500 across 40 different sites with manufacturing operations in Virginia, Wisconsin, Ohio, Indiana, Texas, and California. As of 2023, Foxconn ranks 32nd among the Fortune Global 500 and reported revenue of approximately USD $213 billion in 2024. The company’s diverse product offerings span four major segments: smart consumer electronics, cloud and networking solutions, computing, and various other components. Foxconn makes 40% of the consumer electronics that we find in our everyday lives. In recent years, Hon Hai has adopted the 3+3 strategy, focusing on three emerging industries - electric vehicles, digital health solutions, and robotics - while leveraging three key technologies: next-generation communications, artificial intelligence (AI), and semiconductors. Together these initiatives position the company as a leader for innovation in the 21st century. Hon Hai Technology Group is deeply committed to championing environmental sustainability within its manufacturing processes. By integrating sustainability into its operations framework, the company strives to serve as a best-practice model for global enterprises, enhancing corporate responsibility while meeting the growing demand for environmentally conscious production methods. Job Summary: This role combines quality engineering and customer support, with a strong focus on resolving customer issues related to liquid cooling systems. The position is responsible for ensuring product quality, conducting Root Cause Analysis, and providing technical troubleshooting support. Duties and Responsibilities: • Monitor and ensure product quality standards for liquid cooling systems., • Identify, analyze, and resolve product defects and performance issues., • Serve as a key contact for customer complaints and return cases., • Deliver timely, effective technical support to customers., • Diagnose system failures and implement appropriate corrective solutions., • Support field issues and collaborate with internal teams for resolutions., • Conduct Root Cause Analysis (RCA) and implement corrective and preventive actions., • Manage RMA processes, including product inspections and failure analysis., • Collect, track, and analyze quality data to drive continuous improvement initiatives., • Communicate professionally and responsively with customers and stakeholders., • Travel domestically and internationally as required to support testing and rework arrangements when necessary. Education: • Bachelor’s degree in Mechanical Engineering, Materials Science, Chemistry, Industrial & Quality Engineering. Experience: • 5 + years of experience with liquid cooling or thermal systems, • 5 + years of experience in customer support and relations role, • 5 + years of experience in quality or manufacturing environments, • Familiarity with materials such as copper, aluminum, and coolant fluids used in thermal systems., • Familiarity with Six Sigma methodologies and ISO 9001 standards, • Proficiency in quality tools such as Eight Disciplines Problem Solving (8D), Failure Mode and Effects Analysis (FMEA), and Statistical Process Control (SPC)., • Bilingual language skill in Mandarin and English is preferred Physical Demands & Working Conditions: • Ability to sit or stand for extended periods during scheduled shifts., • Ability to occasionally walk, bend, or reach while supporting office and facility operations., • Ability to perform repetitive hand movements when handling office supplies, documents, or computer equipment., • Work performed primarily in an office or facility environment with regular interaction with employees and visitors. Page Break EEOC Statement Foxconn is an equal opportunity employer that is committed to diversity and inclusion in the workplace. Foxconn prohibits discrimination and harassment of any kind and provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, gender, religion, sex, sexual orientation, ethnicity or national origin, age, disability, marital status, genetics, pregnancy, or any other protected characteristic as outlined by federal law. In addition to federal law requirements, Foxconn complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation, and training.

Job Description Job Title: Robotics Equipment Engineer Job Description The Robotics Equipment Engineer will support a new megafactory campus by focusing on KUKA robotics and systems integration within an industrial automation environment. This role designs, integrates, and optimizes robotic equipment and control systems, with a strong emphasis on KUKA robots and the interfaces to welding, fastening, and testing equipment. The engineer collaborates closely with cross-functional teams to ensure reliable, efficient, and scalable automation solutions across a multi-building manufacturing campus. Responsibilities • Design, integrate, and commission KUKA robotic systems for industrial automation applications within a high-volume manufacturing environment., • Develop and implement robotics integration strategies that ensure seamless operation between KUKA robots and associated production equipment., • Configure and optimize robotic programs to support automated processes such as welding, fastening, and testing operations., • Integrate KUKA robots with weld guns (spot), weld controllers, Atlas Copco fastening tools, Hipot testers, CTS leak testers, and related automation equipment., • Collaborate with controls engineers to interface KUKA robotics with Siemens PLCs and control architectures, including TIA Portal where applicable., • Troubleshoot robotics and control system issues, identify root causes, and implement corrective actions to minimize downtime., • Support the installation, testing, and validation of new robotic equipment and automation cells across the megafactory campus., • Contribute to the development and maintenance of documentation for robotic systems, including integration schematics, configuration details, and operating procedures., • Work closely with manufacturing, maintenance, and engineering teams to improve system performance, reliability, and safety., • Participate in continuous improvement initiatives to enhance automation efficiency and standardize robotics integration practices across the facility. Essential Skills • Hands-on experience with KUKA robotics, including programming, setup, and troubleshooting in an industrial environment., • Proven in robotics integration and systems integration within industrial automation., • Practical experience in industrial automation, with a focus on integrating robotic equipment into production processes., • Knowledge of controls engineering principles as they relate to robotic systems and automated equipment., • Ability to integrate KUKA robots with welding, fastening, and testing equipment used in manufacturing., • Strong problem-solving skills for diagnosing and resolving robotics and control system issues., • Ability to collaborate effectively with cross-functional engineering and production teams in a manufacturing setting. Additional Skills & Qualifications • Experience with Siemens PLCs and control systems, including TIA Portal, is highly desirable., • Familiarity with Siemens-based control architectures and PLC programming for automation applications., • Experience interfacing KUKA robots with weld guns (spot), weld controllers, Atlas Copco fastening tools, Hipot testers, CTS leak testers, and similar equipment., • in controls engineering, including configuration and integration of PLCs, robots, and peripheral devices., • Exposure to large-scale manufacturing or megafactory environments with multi-building campuses., • Ability to adapt to evolving automation requirements and support long-term, scalable integration solutions. Work Environment The role is based at a new megafactory campus located approximately 30–40 minutes west of Houston in Brookshire. The facility consists of multiple buildings and a large-scale industrial manufacturing environment focused on advanced automation. The engineer works on-site around production equipment, KUKA robotic systems, Siemens-based control systems, weld guns, weld controllers, Atlas Copco fastening tools, Hipot testers, CTS leak testers, and other industrial automation technologies. The environment is typical of a modern manufacturing plant, with active production areas, automated cells, and collaborative work with engineering, maintenance, and operations teams. Job Type & Location This is a Contract to Hire position based out of Houston, TX. Pay and Benefits The pay range for this position is $55.00 - $65.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision, • Critical Illness, Accident, and Hospital, • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available, • Life Insurance (Voluntary Life & AD&D for the employee and dependents), • Short and long-term disability, • Health Spending Account (HSA), • Transportation benefits, • Employee Assistance Program, • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Houston,TX. Application Deadline This position is anticipated to close on Jun 16, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Job Description MRI Technologies has an exciting opportunity for a Mechanical Design Engineer – Space Exploration Projects on the JETS II contract at NASA Johnson Space Center. In this role, you will support the design, analysis, and development of mechanical hardware that contributes to NASA's human spaceflight missions, working alongside NASA customers, subsystem teams, and cross-disciplinary engineering groups to deliver reliable mechanical solutions for crewed and uncrewed vehicles supporting the Artemis Program and future deep space exploration. A typical day involves developing and maintaining 3D CAD models and engineering drawings for spacecraft components, subsystems, and integrated vehicle configurations, and performing the design evaluations needed to confirm they meet mission requirements. In the morning you may be modeling parts and assemblies in PTC Creo, applying GD&T to drawings per ASME Y14.5, or running dimensional tolerance analyses that account for thermal effects across mission environments - ascent, cruise, lunar orbit, surface operations, and off-nominal scenarios. In the afternoon you could be performing hand calculations and structural or thermal analyses to confirm fit, function, strength, and thermal response, coordinating with machine shop and rapid prototyping resources, reviewing NASA and vendor mechanical designs for technical accuracy, or presenting your design work to NASA customers in a design review. The work is intellectually challenging, mission-critical, and directly tied to enabling safe human exploration beyond Earth orbit. What We Are Looking For Requirements: • Bachelor's degree in Mechanical or Aerospace Engineering from an accredited institution, with a minimum of 2–5 years of experience in the field or a related area, • Experience designing parts and assemblies using 3D CAD modeling software (e.g., PTC Creo, Pro/Engineer, SolidWorks, NX, or similar), • Strong understanding of mechanical design principles for aerospace hardware, including materials selection, fasteners, joints, and manufacturability, • Experience producing engineering drawings conforming to ASME Y14.5 and applying Geometric Dimensioning and Tolerancing (GD&T), • Experience performing dimensional tolerance analyses, including thermal effects, on parts and assemblies, • Experience supporting designs with hand calculations and structural and thermal analyses for fit, function, strength, and thermal response, • Familiarity with machine shop processes and rapid prototyping methods such as 3D printing, • Experience documenting design work and preparing technical drawings and reports for internal stakeholders and customers, • Excellent oral, written, and presentation communication skills, with the ability to coordinate across multiple technical disciplines, • Ability to organize and prioritize tasks to meet deadlines and schedules with limited supervision, • Ability to work in a team environment consisting of NASA civil servants and contractor employees, • Proficiency with Microsoft Office products Preferences: • Typically 5–10 years of relevant engineering experience, • Proficiency with PTC Creo or Pro/Engineer (and related extensions such as Cabling, Piping, Sheetmetal, and Simulation) is strongly preferred, • Prior NASA (especially JSC) or aerospace development and manufacturing experience, • Experience designing NASA flight hardware and producing drawings for NASA/JSC, • Familiarity with the JSC Engineering Drawing System Manual (JPR 8500) and JSC Fabrication Tolerances and Practices (SKZ36103755), • Experience with mechanisms or robotics design for spacecraft, payloads, or surface systems, • Experience supporting hardware verification and validation activities, including test planning, structural and thermal testing, data analysis, and model correlation, • Familiarity with the Engineering Life Cycle and requirements verification processes, • Familiarity with NASA JSC organizations, processes, and procedures, • Experience participating in design reviews, technical interchange meetings, and anomaly investigations, • Demonstrated leadership in fostering collaboration, mentoring junior engineers, driving clear technical direction, and contributing to a culture of accountability and high-quality engineering This position has been posted at multiple levels. Depending on your experience and business needs, we may consider candidates at any level for which the position has been advertised. Benefits and Perks We offer a comprehensive benefits package including medical, dental, vision, company paid life and disability insurance, paid time off, and 401(k). You'll also enjoy a 9/80 work schedule (every other Friday off, when applicable), and strong career development opportunities working alongside NASA's human spaceflight teams. Proof of U.S. Citizenship or U.S. Permanent Residency is a requirement for this position. Must be able to complete a U.S. government background investigation. MRI Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. As we are a Federal Contractor, most positions require the employee to obtain and maintain a U.S. Government background investigation. MRI also completes a pre-screening background check for anyone offered employment. Job Posted by ApplicantPro

Job Description OVERVIEW: The Sensors and Robotics Team at Aramco’s Houston Research Center creates disruptive technologies to advance discovery of resources, recovery from the subsurface, and operational efficiency. We’re looking for a creative, hands-on problem solver who plays well with others, likes to tackle big challenges, and takes responsibility for delivering results. Our interests include developing sensors and robotic systems for automating our Upstream operations. Duties & Responsibilities • Design, develop, and optimize mechanical components and assemblies for robotics, sensing systems, and oil & gas applications using additive manufacturing techniques and solidworks, • Strong understanding of:, • Additive manufacturing processes (FDM, SLA, SLS, PolyJet), • Design for additive manufacturing (DfAM) principles, • Mechanical design tools (CAD, simulation software), • Operate, maintain, and troubleshoot 3D printing systems, including Formlabs (SLA/SLS), Stratasys (PolyJet/FDM), and Bambu Lab (FDM) platforms, • Select appropriate materials (e.g., Nylon 12, photopolymers, engineering thermoplastics) and printing processes based on functional and environmental requirements, • Develop and execute print strategies, including build orientation, support design, and post-processing workflows (curing, depowdering, finishing), • Conduct mechanical testing, dimensional inspection, and performance validation of printed parts, • Collaborate with robotics and sensing teams to rapidly prototype and iterate designs, • Maintain detailed documentation of print parameters, material usage, and test results, • Ensure safe operation of all additive manufacturing equipment in accordance with internal policies and OEM guidelines, • Identify and mitigate hazards associated with 3D printing, including:, • Powder handling (e.g., Nylon 12 dust exposure), • Resin handling and post-processing chemicals, • High-temperature components and moving mechanical systems, • Utilize appropriate PPE (respirators, gloves, eye protection) and engineering controls (ventilation, enclosures), • Support development and enforcement of Standard Operating Procedures (SOPs) for all AM equipment, • Conduct routine safety inspections and contribute to risk assessments for new processes and materials MINIMUM REQUIREMENTS: • Bachelor of Science degree in an Engineering discipline from a recognized college or university., • Nine (9) years applicable experience, such that the incumbent is clearly recognized as an expert in the field., • Must be able to communicate and comprehend accurately, clearly and concisely in English at a level required to perform the job as outlined., • Must have a thorough knowledge of engineering practices including scientific and economic principles, calculation methods, design details, and codes, standards and specifications. Must possess good work habits, a strong work ethic, and be able to adhere to company work hours, policies, and standard business etiquette. NO THIRD-PARTY CANDIDATES ACCEPTED Powered by JazzHR eRyamfgua2

Job Description Autonomous Robotics Software Engineer (Robotics / Autonomy / C++) Advanced Robotics Group, LLC is seeking highly skilled Autonomous Robotics Software Engineers to join a small, high-performing team building autonomous robotics systems, computer vision solutions, and large-scale data platforms. We are a deep-tech robotics company building industrial, fully autonomous systems designed to operate in harsh, real-world environments. Alongside our robotics platforms, we are developing a proprietary big data and analytics system that processes hundreds of terabytes of data to generate actionable insights. Over the past decade, we have solved complex robotics and analytics challenges considered out of reach by much of the industry. We are now scaling our technology and preparing for global deployment. If you’re interested in solving technically complex problems at the intersection of robotics, AI, and large-scale data systems—you’ll fit right in. Why Join Us · Work on cutting-edge robotics and autonomous systems · Solve real-world, high-impact engineering problems · Generous compensation, including stock options, plus full medical, vision, and disability coverage · Collaborative, high-performance engineering culture · Modern R&D facility (14,000+ sq ft) in Houston · Daily team lunches and a stocked kitchen Key Responsibilities · Work on systems that directly impact real-world operations and safety · Design and implement autonomous capabilities for high-performance robotic platforms · Develop algorithms for localization, mapping, path planning, and navigation · Integrate perception, sensing, and control systems into cohesive solutions · Design and execute simulation and real-world testing to validate system robustness and reliability · Build production-grade autonomy software from prototype to deployment · Collaborate with cross-functional engineering teams to deliver integrated solutions · Extend and integrate open-source robotics frameworks with proprietary systems Required Qualifications · BS/MS/PhD in Computer Science, Robotics, or related field · Proven experience in robotics software development with successful project delivery · Strong software engineering fundamentals (architecture, testing, debugging, code quality) · Experience with localization, mapping, and state estimation techniques · Experience with path planning and navigation algorithms · Experience with system integration and system-level design · Experience with ROS or similar robotics frameworks, with the ability to extend beyond them · Fluency in modern C++ and performance optimization techniques · Ability to work independently on open-ended engineering problems · Strong problem-solving skills and systems-level thinking · Demonstrated ability to learn and apply new technologies quickly · High level of professional integrity and confidentiality Preferred Qualifications · 5+ years of related experience · Experience building robotics systems deployed in real-world environments · Experience with CI/CD pipelines and automated testing · Experience with embedded or real-time systems · Experience with robotics simulation environments · Hands-on experience with robotic platforms and field testing Location Main development center, Houston, Texas (on-site) Company DescriptionDue to the confidential nature of our activities, we aren’t able to share specifics with you now but know that these robotics solutions will have a significant impact on both safety and the environment, thus making the world better.Due to the confidential nature of our activities, we aren’t able to share specifics with you now but know that these robotics solutions will have a significant impact on both safety and the environment, thus making the world better.

Job Description The System Reliability Engineer, Sr will support the space program located in Houston, Texas. This position is primarily responsible for the generation and execution of Failure Modes and Effects Analysis (FMEAs) and Probabilistic Risk Assessment (PRA) to support the milestone reviews, and Engineering and Safety and Mission Assurance (S&MA) deliverables and analyses. RESPONSIBILITIES: • Perform Failure Modes and Effects Analysis (FMEAs) and Probabilistic Risk Assessment (PRA) to support the milestone reviews, and Safety and Mission Assurance (S&MA) deliverables and analyses., • Evaluate human-rated hardware and software systems for reliability to ensure mission success., • Ensure system design compliance with requirements and provide input to program risk assessment and risk management activities., • Provide RBD and PRA analyses to determine criteria or adequacy of the final design (e.g., Avionics, Power, Propulsion, Environmental Control and Life Support System [ECLSS], Crew Systems, Payloads, Robotics, Structures and Mechanisms, and Guidance, Navigation, and Control [GNC])., • Provide FMEA and RBD for any trade studies to inform or derive design solutions., • Identify any single point failures in the design that could affect function or performance of the system., • Provide list of potential top risks and collaborate with Engineering and S&MA on their mitigation strategies., • Identify any Critical Items in the design and the retention rationale to minimize the risk of inclusion of item., • Prepare presentations and participate in Design Reviews, Test Readiness Reviews, Technical Interchange Meetings, and various working groups and safety review meetings., • Interface with multiple disciplines, including Systems Safety, Software Safety, Quality Engineering, Flight Operations, Logistics & Maintenance, and Subsystem Engineering personnel., • Other duties as assigned. REQUIRED: This position has been posted at multiple levels (must meet minimum level indicated). Depending on the candidate's experience, requirements, and business needs, we reserve the right to consider candidates at any level for which this position has been advertised. • This position requires US Citizenship due to the sensitivity of customer related information., • Must have a bachelor's degree in the field of engineering., • Must have 10+ years of recent and related work experience., • Must have experience in Reliability Engineering related to human spaceflight programs and systems/subsystems., • Experience in working with and as part of Program/Project Safety and Mission Assurance workflows and design reviews., • Requirements management and development experience, including DOORS and/or CRADL., • Ability to interface with customer and program management. WORK LOCATION: • This position is located onsite; some travel may be required., • Schedules are subject to change based on the requirements of the position and/or customer needs. BACKGROUND INVESTIGATIONS REQUIRED: All Bastion employees must be able to pass a national agency check and some positions require clearance and will require an extensive background verification/check process. DRUG AND ALCOHOL SCREENING REQUIRED: All Bastion employees must be able to pass a pre-employment drug screen and are required to participate in periodic random drug and alcohol screenings. STANDARD BASTION REQUIREMENTS: • Must have experience with Microsoft Office Suite, Word, Excel, PowerPoint, and TEAMS., • All of Bastion's employees must be team players with strong work ethics and must be culture oriented., • Able to communicate effectively, verbally and in written form, with internal and external customers., • Able to follow company programs, processes, procedures, practices, requirements, goals, and objectives., • Must be organized with good time management skills and must be able to work outside normal schedule and adjust schedule to meet peak periods and surge requirements., • Generally, an office environment, but can involve inside or outside work depending on the task., • Work may involve sitting or standing for extended periods (90% of the time) and may require lifting and carrying up to 25 lbs. (5% of the time)., • Regular attendance in accordance with an established work schedule is critical. BASTION BENEFITS: Bastion offers a wide range of benefits for their full-time employees; medical, prescription, dental, vision, AD&D, disability benefits, life insurance, retirement 401k, vacation, sick pay, holidays, flexible work schedules (when available), along with many other options. We also support career advancement through professional training and development. ABOUT BASTION: Bastion offers career opportunities with competitive benefits, exciting possibilities for advancement, and an exceptional work environment; the well-being of our employees is a priority, and our flexibility allows our employees a great work life balance. Our culture is based on strong business ethics, integrity, and professionalism. Our team members are known for their initiative and high-quality work. When it comes to our employees, we value, respect, and help them grow in their careers. WORKPLACE EXCELLENCE: At Bastion, we are passionate about our people and our safety culture. Individual thoughts, opinions, and perspectives bring value and help us develop solutions for challenging problems, they make us more inventive, and more resilient. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. Bastion participates in e-Verify. #MidSeniorLevel #LI-Onsite BT-26075 Job Posted by ApplicantPro

Job Description Are you passionate about human space exploration, understanding the origins of the universe, and working with a passionate and diverse team to make a difference? If you are, we need you! We need your talent, teamwork, and energy to help us achieve great things that inspire people all over the globe. We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth. We are excited about what we do, and we need you on our team as we take on exciting challenges for NASA's pursuits in deep space exploration. We have an exciting opportunity for a Mechanical Design Engineer - Space Exploration Projects to join our JETS II contract team at NASA Johnson Space Center in Houston, TX. If selected you will: • Support NASA's future space exploration activities, • Work in a team environment to analyze requirements and develop design solutions, • Design, develop, test, analyze, and implement technical products and systems, • Perform engineering design evaluations, • Produce engineering drawings conforming to applicable standards, • Perform dimensional tolerance analyses, including thermal effects and GD&T, • Perform functional, structural and thermal analyses as required, • Support design with hand calculations for fit, function, strength and thermal response, • Prepare and present at various design reviews, • Produce other design documentation as required, • Perform other reporting duties as required Qualifications: This position has been posted at multiple levels. Depending on the candidate's experience, requirements, and business needs, we reserve the right to consider candidates at any level for which this position has been advertised. • Typically requires a bachelor's degree in Engineering with experience in the field or in a related area., • BS degree in Mechanical or Aerospace Engineering, • Experience designing parts and assemblies using 3D CAD modeling software, • Experience producing drawings conforming to ASME Y14.5, • Experience applying tolerance analyses, including thermal effects and GD&T, • Experience with machine shop processes and rapid prototyping (3D printing), • Experience with both structural and thermal analysis of parts and assemblies, • Excellent oral, written and presentation communication skills Preferred Qualifications: • Prior NASA (especially JSC) or aerospace development & manufacturing experience, • Familiarity with JSC Engineering Drawing System Manual (JPR 8500), • Familiarity with JSC Fabrication Tolerances and Practices (SKZ36103755), • Experience designing NASA flight hardware and creating drawings for NASA/JSC, • Mechanisms or robotics design experience, • Experience using PTC CREO or Pro/Engineer and related extensions such as Cabling, Piping, Sheetmetal and Simulation, • Experience leading technical design teams and mentoring junior engineers, • NASA or aerospace mechanical design experience Benefits • Competitive pay, • Positive work-life balance, • 100% Employer paid insurance including: Medical, dental, vision, life insurance, accidental death and dismemberment, short-term disability, and long-term disability, • 11 paid holidays annually, • Generous PTO, • 401k after 12 months of service with employer match, • Education assistance, • Relocation assistance (if applicable) Mclaurin is a unique organization with a special focus on combining the best features of research and industry in order to foster innovation. Our organization strongly supports research, publication, and engagement with the academic community. We encourage our employees to remain on the cutting edge of new developments in their respective disciplines. US Citizenship and the ability to pass a comprehensive security background investigation is required. Mclaurin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

Job Description Job Title: Controls Engineer Job Description This role focuses on developing, commissioning, and deploying advanced automation systems used in the assembly of electronic devices. The Controls Engineer will primarily work with PC-based control systems programmed in C#, while also supporting PLCs, motion control, and integrated machine hardware. This is a hands-on position that spans the full machine lifecycle, from software development and integration through installation, commissioning, and production support. The role includes an initial training and knowledge transfer period overseas, followed by leading installation and start-up activities in the United States. Responsibilities • Develop, maintain, and troubleshoot PC-based control software using C# (.NET) for custom automation equipment., • Integrate and commission automation systems including PLCs, motion controllers, servo drives, and PC-based control platforms., • Modify, test, and debug PLC programs for platforms such as Siemens, Allen-Bradley, and Omron as part of overall system integration., • Configure and tune motion control systems, including servo drives, axes, and motion profiles, to meet performance and reliability requirements., • Support machine bring-up activities, including initial power-up, debugging, and optimization of new automation equipment., • Lead commissioning efforts and support production ramp-up activities to ensure stable and efficient operation of automated systems., • Perform system validation, including I/O checks, functional testing, and failure mode or negative scenario testing to verify system robustness., • Deploy software builds to machines using proper version control, backup, and rollback procedures to maintain software integrity., • Troubleshoot and resolve issues across software, electrical, and motion control components, working systematically to identify root causes., • Integrate and calibrate sensors, vision systems, and industrial transducers to ensure accurate and reliable data acquisition., • Support the development and maintenance of HMI functionality, including multilingual or dual-language interfaces for operators., • Collaborate closely with mechanical, electrical, and manufacturing teams during system integration to ensure cohesive system performance., • Document commissioning activities, test results, configuration changes, and maintain detailed software version history for traceability., • Participate in onsite training and knowledge transfer activities at the equipment development location to prepare for installation and start-up in the United States., • Serve as the primary controls engineer during installation and start-up of the equipment in the U.S., applying knowledge gained during the training period. Essential Skills • Experience with PC-based automation programming in C# (.NET)., • Proficiency in C# programming for industrial control and automation applications., • Hands-on experience commissioning and supporting industrial automation equipment., • Experience with PLC programming, including development, modification, testing, and debugging., • Ability to work with PLC platforms such as Siemens, Allen-Bradley, and Omron., • Experience with motion control systems, including configuring and tuning servo drives, axes, and motion profiles., • Strong skills in troubleshooting and resolving issues across software, electrical, and motion control components., • Experience with PC-based automation systems and integrated machine hardware., • Ability to perform system validation, including I/O checks, functional testing, and failure mode or negative scenario testing., • Familiarity with integrating and commissioning automation systems that include PLCs, motion controllers, servo drives, and PC-based platforms. Additional Skills & Qualifications • Experience integrating and calibrating sensors, vision systems, and industrial transducers., • Experience supporting HMI functionality, including multilingual or dual-language interfaces., • Background working in automation, robotics, and high-volume electronic device assembly environments., • Experience collaborating with mechanical, electrical, and manufacturing teams during system integration., • Comfort working in fast-paced project environments that include international travel and extended onsite support., • Interest in working on advanced automation equipment and robotics used in the production of consumer electronic devices. Work Environment The role begins with an intensive four-week assignment in Hosur, India, in an engineering and manufacturing environment where the Controls Engineer will train and learn the technology used in the automation equipment. During this period, the schedule is six days per week with 10-hour workdays, providing significant overtime opportunities. Following the training phase, the position transitions to a facility in Houston, Texas, for approximately 20 weeks, where the engineer will support installation, start-up, and production activities as part of a major U.S. production initiative. The work environment includes advanced automation equipment, robotics, PC-based control systems, PLCs, motion control hardware, sensors, and vision systems. The role is hands-on and primarily onsite at engineering and manufacturing facilities, working closely with multidisciplinary teams to bring complex automation systems into full production. Job Type & Location This is a Contract position based out of Houston, TX. Pay and Benefits The pay range for this position is $45.00 - $50.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision, • Critical Illness, Accident, and Hospital, • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available, • Life Insurance (Voluntary Life & AD&D for the employee and dependents), • Short and long-term disability, • Health Spending Account (HSA), • Transportation benefits, • Employee Assistance Program, • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Houston,TX. Application Deadline This position is anticipated to close on Jun 18, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Job Description Advanced Robotics Group, LLC is seeking highly skilled Full Stack Developers to join a small, high-performing team building autonomous robotics systems, computer vision solutions, and large-scale data platforms. As a Full Stack Developer, you will create the software that enables our customers to engage with our industry-leading, data-driven platform. This role is truly full stack, with opportunities spanning UI/UX development, backend architecture supporting large-scale data systems with high-performance requirements, and DevOps practices that ensure rapid and stable deployments. Over the past decade, we have solved complex robotics and analytics challenges considered out of reach by much of the industry. We are now scaling our technology and preparing for global deployment. We focus on solving technically complex, high-impact engineering problems. We are seeking additional high-caliber engineers to join our team. If you’re passionate about building impactful systems and solving challenging engineering problems, you’ll feel right at home here. Why Join Us · Work on cutting-edge technology and data-driven platforms · Solve real-world, high-impact engineering problems at the intersection of robotics, data, and user-facing systems · Generous compensation including stock options, plus full medical, vision, and disability coverage · Collaborative, high-performance engineering culture · Modern R&D facility (14,000+ sq ft) in Houston · Daily Team meals and a stocked kitchen provided In this role you will: · Promote our core robotics business through the development, deployment, and support of a data management and visualization platform · Create software that provides geospatial visualizations of large-scale data collected from autonomous robotic missions · Tackle complex technical requirements and deliver innovative, high-performance scalable solutions for large-scale data systems · Build expertise in modern technologies and grow as a technical contributor with increasing ownership · Collaborate with an interdisciplinary engineering team in a fast-moving, innovation-focused environment · Work extensively with Python, Django, TypeScript, React/Redux/DeckGL, and PostgreSQL, as well as supporting tools and frameworks · Follow production-grade engineering practices, including linting, type checking, automated testing, and peer reviews What we’re looking for: · Self-driven engineer capable of owning projects from concept through implementation · Passion for growth and excellence in delivering high-quality, detail-oriented solutions · Strong experience with Python/Django and JavaScript/TypeScript, especially in modern web application development · Experience with React or similar frameworks for single-page applications · Experience with PostgreSQL (or similar technologies) · Experience with Git and strong software engineering best practices · Demonstrated ability to handle sensitive and confidential information responsibly · BS/MS in Computer Science, Information Technology, or a related field with 2+ years of relevant industry experience Nice to haves: · Experience with containerization technologies like Docker or Kubernetes · Experience with cloud-based architectures and deployment (AWS or Azure) · Experience with data pipelines and workflow orchestration tools (e.g., Airflow) · Experience with CI/CD pipelines · Experience with Geographic Information Systems (GIS) Company DescriptionDue to the confidential nature of our activities, we aren’t able to share specifics with you now but know that these robotics solutions will have a significant impact on both safety and the environment, thus making the world better.Due to the confidential nature of our activities, we aren’t able to share specifics with you now but know that these robotics solutions will have a significant impact on both safety and the environment, thus making the world better.

Job Description About Us: Panelmatic, Inc. was founded in 1957 in Youngstown, OH to serve manufacturing industries with the design and build of custom electrical, instrument, and pneumatic control panels. Our business has sufficiently grown over the years to support expansion for our clients. We have produced control packages for many of America's top corporations in the chemical, data center, environmental, food & beverage, pulp & paper, material handling, oil & gas, pharmaceutical, renewables, metals, and utility markets. We also deliver equipment for use worldwide. Our rigorous methodology assures compliance with domestic and international standards. We can meet the needs of our diverse clientele from start to finish through sales, design, fabrication, testing, and delivery. Since 1957, we have been known for our high-quality, custom-built control packages, our comprehensive service, and our technological and manufacturing expertise. This expertise assures you of our ability to handle the largest and most complex packages quickly and efficiently. Job Summary: The Manufacturing Engineer is responsible for designing, implementing, and optimizing manufacturing processes to ensure efficient, high-quality, and cost-effective production. This role partners with cross-functional teams including production, quality, and supply chain to drive continuous improvement, support new product introductions, and solve complex production challenges. Requirements • Bachelor’s degree in mechanical, Industrial, Manufacturing, or Electrical Engineering, or a related field., • 3–7 years of experience in a manufacturing environment, preferably in switchgear, electrical, or industrial equipment manufacturing., • Strong knowledge of Lean Manufacturing, Six Sigma, or continuous improvement methodologies., • Experience with process design, workflow optimization, and production planning., • Proficiency with CAD software and manufacturing simulation tools., • Strong problem-solving skills and ability to work cross-functionally., • Excellent communication and documentation skills., • Develop, evaluate, and improve manufacturing processes to increase efficiency, reduce costs, and maintain quality standards., • Collaborate with product design and engineering teams to support new product introductions, including process design, prototyping, and validation., • Conduct time studies, workflow analyses, and capacity planning to optimize production lines., • Troubleshoot manufacturing issues, implement corrective actions, and provide technical support to production teams., • Develop and maintain process documentation, work instructions, and standard operating procedures (SOPs)., • Implement Lean Manufacturing and continuous improvement initiatives to enhance productivity and reduce waste., • Coordinate with maintenance and quality teams to ensure equipment reliability and compliance with safety standards., • Support automation initiatives and evaluate new manufacturing technologies for feasibility and ROI., • Monitor production metrics and provide data-driven recommendations for process improvements., • Experience with automation, robotics, or smart manufacturing technologies., • Knowledge of quality standards (ISO 9001, UL, or equivalent)., • Ability to lead projects and mentor junior engineers. Key Competencies: • Analytical thinking and process optimization, • Attention to detail and quality focus, • Effective collaboration and teamwork, • Project management and organizational skills, • Adaptability and continuous learning mindset Benefits • Medical, dental, vision, HSA, term life, AD&D, STD, LTD, • 100% medical premium paid for by Panelmatic for the employee-only level medical coverage, • 80% paid for by Panelmatic and 20% paid for by the employee on all other level medical coverage ( employee plus child, employee plus spouse, family), • 401K, contributions matched 100% up to 4%, • Scholarships, educational reimbursement, paid volunteerism, and paid personal and professional development provided, • PTO and paid holidays provided, • Career advancement opportunities, • Competitive wages, • Family-friendly environment with average employee tenure above five years

Job DescriptionJob Summary The Senior Industrial Engineer is responsible for optimizing manufacturing processes, improving productivity, reducing cost, and supporting scalable, high-quality production of advanced electronic products. This role partners closely with Manufacturing, Quality, Supply Chain, and Product Engineering teams to drive continuous improvement across high-mix, high-volume and/or NPI manufacturing environments. Key Responsibilities Manufacturing Process Optimization • Lead analysis and improvement of manufacturing processes to maximize efficiency, throughput, and quality., • Develop and maintain time studies, line balancing, capacity models, and labor standards., • Optimize factory layout, material flow, workstation design, and ergonomics., • Support automation and digital manufacturing initiatives (MES, data analytics, Industry 4.0).Cost, Productivity & Capacity, • Drive labor productivity improvements and cost-reduction initiatives., • Support annual operating plans through capacity planning and headcount modeling., • Identify bottlenecks and implement sustainable solutions to improve OEE and cycle time.New Product Introduction (NPI), • Partner with Product Engineering and Operations during NPI to ensure manufacturability and scalability., • Support DFM/DFA reviews and production ramp readiness., • Define standard work and process documentation for new lines and products.Data Analysis & Continuous Improvement, • Analyze manufacturing data to identify trends, risks, and improvement opportunities., • Lead Lean, Six Sigma, and Kaizen initiatives across production and support functions., • Establish KPIs and dashboards to monitor performance and drive accountability.Cross-Functional Collaboration, • Collaborate with Manufacturing, Quality, Supply Chain, Facilities, and Program Management teams., • Support root cause analysis and corrective actions for production issues., • Mentor junior engineers and technicians on industrial engineering best practices.Required Qualifications, • Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, or related field., • 7+ years of experience in industrial engineering within electronics or high-tech manufacturing., • Strong knowledge of Lean Manufacturing, Six Sigma, and continuous improvement methodologies., • Experience with high-mix/high-volume electronics manufacturing (SMT, PCBA, systems integration preferred)., • Proficiency in time studies, capacity planning, line balancing, and labor modeling., • Strong data analysis skills (Excel, Minitab, Power BI, or similar tools).Preferred Qualifications, • Master’s degree in Industrial Engineering or MBA., • Lean Six Sigma Black Belt or Green Belt certification., • Experience supporting automation, robotics, or smart factory initiatives., • Familiarity with MES, ERP, and manufacturing analytics systems., • Experience in regulated or quality-critical environments (ISO, IPC, etc.).Key Competencies, • Strong analytical and problem-solving skills, • Hands-on, data-driven mindset, • Ability to influence cross-functional teams, • Excellent communication and presentation skills, • Comfortable working in fast-paced, changing environments Powered by JazzHR VwDOSpXk0k

Job DescriptionAI & Machine Learning Engineer - AI TrainingAbout Prolific Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for AI and Machine Learning Engineers to join our Expert Network to help train and evaluate the next generation of LLMs using deep technical expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring • Education: a BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a focus on Machine Learning., • Professional Experience: experience building, deploying, or fine-tuning ML models in a production environment., • Deep Learning Mastery: professional-level understanding of neural network architectures (Transformers, CNNs, RNNs) and optimization techniques., • LLM Specialization: hands-on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human Feedback), or RAG (Retrieval-Augmented Generation) workflows., • Technical Rigor: the ability to audit complex model logic, identify training data contamination, and evaluate mathematical proofs behind ML algorithms., • Analytical Critique: high attention to detail in spotting "hallucinations," biased outputs, or logical failures in AI-generated technical content. What you'll be doing in the role • Evaluate LLM Architecture Logic: review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy., • Audit Code & Notebooks: validate ML-specific code (e.g., training loops, data preprocessing scripts, or model evaluations) for efficiency and correctness., • Refine RLHF Frameworks: provide the high-quality human feedback necessary to align models with human intent, safety, and helpfulness., • Analyze Model Reasoning: critically assess how an AI model navigates complex chain-of-thought (CoT) prompts and identify where the reasoning breaks down., • Benchmark Performance: conduct comparative testing between different model outputs based on specific technical taxonomies and performance metrics. Key Technologies • Frameworks: expert proficiency in PyTorch or TensorFlow/Keras., • Language & Data: advanced Python (NumPy, Pandas, Scikit-learn) and experience with Hugging Face Transformers., • Cloud & MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain., • Vector Databases: familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation.Why Prolific is a great platform to join as a Participant Joining our Expert Network will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.Links to more information on Prolific Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

Job Description Controls - Automation Engineer Responsibilities • Support all three phases of the project, including controls automation training, machine installation, and production support., • Participate in on-site training in Hosur, India to gain hands-on knowledge of equipment, automation systems, machine controls, and operational requirements., • Assist with machine installation, startup, commissioning, and troubleshooting at the Houston, TX site., • Develop, modify, test, and support C# applications used in automation, controls, diagnostics, data collection, machine interfaces, or production support systems., • Support PLC controls, HMI systems, industrial automation, machine logic, and control system integration as required., • Troubleshoot automation issues involving equipment controls, sensors, actuators, drives, communication networks, and software interfaces., • Work with engineering, maintenance, production, and vendor teams to resolve machine performance issues and improve equipment reliability., • Provide long-term production support for installed equipment, including root cause analysis, issue resolution, system optimization, and documentation., • Assist with validation, testing, change control, and technical documentation for automation and controls systems., • Ensure all work follows applicable safety standards, plant procedures, and project requirements. Qualifications • Experience as a Controls Automation Engineer, Automation Engineer, Controls Engineer, or similar technical role., • Strong hands-on experience with C# programming / C-Sharp programming in an industrial or manufacturing environment., • Experience with machine installation, equipment commissioning, startup support, and production support., • Knowledge of PLC programming, HMI configuration, industrial controls, automation troubleshooting, and electrical control systems., • Ability to read and interpret electrical drawings, control schematics, wiring diagrams, P&IDs, I/O lists, and technical documentation., • Experience supporting manufacturing equipment, automated machinery, robotics, motion control, sensors, drives, and industrial networks is preferred., • Ability to travel internationally for training in Hosur, India and support long-term on-site project work in Houston, TX., • Strong troubleshooting, communication, documentation, and cross-functional collaboration skills., • Ability to work independently during installation and production support phases while coordinating with project stakeholders., • Bachelor’s degree in Electrical Engineering, Automation Engineering, Mechatronics, Computer Engineering, or equivalent experience preferred. Controls Automation Engineer, Automation Engineer, Controls Engineer, C# programming, C-Sharp programming, PLC programming, HMI configuration, industrial automation, industrial controls, machine installation, equipment commissioning, startup support, production support, automation troubleshooting, control system integration, manufacturing equipment, electrical control systems, machine controls, C# applications Company DescriptionHiring Transparency & AI Disclosure Statement In compliance with applicable Canadian employment regulations, we confirm that this job posting represents a current, active vacancy within our organization. We do not use artificial intelligence (AI) tools to screen, assess, rank, or make hiring decisions. All applications are reviewed and evaluated by human recruiters and hiring managers. If our hiring practices change in the future to include AI-assisted tools, appropriate disclosure will be provided in accordance with applicable laws.Hiring Transparency & AI Disclosure Statement\r\nIn compliance with applicable Canadian employment regulations, we confirm that this job posting represents a current, active vacancy within our organization.\r\nWe do not use artificial intelligence (AI) tools to screen, assess, rank, or make hiring decisions. All applications are reviewed and evaluated by human recruiters and hiring managers.\r\nIf our hiring practices change in the future to include AI-assisted tools, appropriate disclosure will be provided in accordance with applicable laws.

Job DescriptionWhat We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure. Role at a Glance Our Forward Deployed Engineers are not support engineers, they’re builders. Forward Deployed Engineers build our business within the context of a single customer at a time. They seek out valuable problems that hold our customers back. The problems we work on are multi-domain, affecting cashflow, production, safety, and the environment. A Forward Deployed Engineer doesn’t stop at finding problems, but goes on to create solutions and prove their value, owning the process from start to finish. Forward Deployed Engineers, by solving a specific version of the problem for a specific customer, also help to navigate Gecko’s platforms - Gecko’s tools that scale across customers. What you will do Solve Real Problems: We search for the highest impact problems we can find, we spend a lot of time with our customers to understand their true nature, we come up with new ways, and we don’t quit until we’ve reached impact. Growth: The problems we work on are hard. No one has yet solved them. We are constantly learning and trying - and that includes learning about ourselves. We are a group who loves to grow - even if it requires hard work to do so. Technologies We Use Python, Javascript, React Google Cloud, Amazon Web Services About You Bachelor’s degree in fields such as Computer Science, Computer Engineering Mathematics, Software Engineering, Physics, Mechanical Engineering, Electrical Engineering, or relevant experience. 3+ years of experience in a similar position. Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools. Understanding of how technical decisions impact the user of what you’re building. Proficiency with programming languages such as Java, C++, Python, JavaScript, or similar languages. Ability to work effectively in teams of technical and non-technical individuals. Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users. Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision. Willingness and interest to travel as needed. Who We Are At Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health, ongoing professional development, family planning assistance, and flexible paid time off. Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact. Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you. Compensation Range: $140K - $245K

The Process Automation and Technology Engineer is responsible for driving the automation of key production processes in lamination and conversion operations. This role focuses on integrating advanced technologies, including artificial intelligence (AI), robotics, and process monitoring systems, to enhance productivity, improve quality, and streamline material handling. A key responsibility is bridging the gap between automation systems and employees, ensuring seamless interaction and upskilling teams to leverage automation effectively. Key Responsibilities 1. Product Inspection Automation • Develop and implement automated systems for product inspection in the lamination and conversion processes., • Collaborate with quality teams to ensure automated inspections meet required standards and specifications., • Optimize inspection systems to detect defects and deviations in real-time, reducing waste and improving quality consistency. 1. Automatic Packaging Systems • Design, implement, and optimize automatic packaging solutions to streamline operations and improve efficiency., • Work with packaging engineers and production teams to ensure systems align with operational and customer requirements., • Monitor and maintain packaging systems to minimize downtime and maximize output. 1. Artificial Intelligence for Job Packs • Develop and deploy AI tools to automate the creation and management of job packs, ensuring accuracy and consistency., • Integrate AI solutions into production workflows, enabling seamless generation and access to job instructions., • Train employees to utilize AI-powered tools effectively and ensure smooth adoption of these technologies across teams. 1. Automation of Material Handling • Design and implement automated material handling systems to improve the efficiency and safety of production processes., • Collaborate with supply chain and production teams to ensure systems optimize material flow and inventory management., • Continuously evaluate and upgrade systems to accommodate new production demands and technologies. 1. Process Condition Monitoring • Develop and deploy real-time monitoring systems to track critical process conditions in lamination and conversion operations., • Implement predictive analytics tools to identify potential issues and ensure proactive maintenance., • Provide actionable insights from process data to improve machine performance and reduce downtime. 1. Employee-Automation Integration • Bridge the gap between automation technologies and employees by simplifying interfaces and workflows., • Develop and deliver training programs to upskill employees, enabling them to interact effectively with automation systems., • Foster a collaborative environment that encourages employees to embrace and leverage technology in daily operations. 1. Continuous Improvement and Collaboration • Partner with cross-functional teams (engineering, production, quality) to identify and implement automation opportunities., • Lead or support continuous improvement projects aimed at enhancing operational efficiency and reducing costs., • Stay updated on the latest advancements in automation and technology to ensure the organization remains competitive. Qualifications: Technical Skills: • Bachelor’s degree in Automation Engineering, Mechatronics, Electrical Engineering, or a related field., • 3 years of experience in industrial automation, process improvement, or a related role., • Proven experience in implementing AI, robotics, and real-time monitoring systems in manufacturing environments., • Strong knowledge of PLC programming, SCADA systems, and robotics integration., • Familiarity with AI tools, machine learning frameworks, and IoT platforms., • Experience with automated inspection systems, material handling equipment, and packaging machinery., • Strong analytical and problem-solving skills with attention to detail., • Effective communication skills to present data-driven insights to technical and non-technical audiences., • Ability to work collaboratively with cross-functional teams., • Effective communication skills to interact with all levels of the organization and external stakeholders., • Knowledge of sustainability practices and recyclable packaging solutions., • Familiarity with quality control methodologies such as Six Sigma or Lean Manufacturing. Why Join? • Be part of a forward-thinking company that values innovation and sustainability., • Lead a dynamic team in producing high-quality, cutting-edge packaging solutions., • Competitive salary and comprehensive benefits package.

_ is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona’s founding team has a decades-long history in humanoid robotics, bionics, and product development delivering robust hardware that has touched the stars, worked miles below the surface of the ocean, and even roamed Disney Parks. Our mission is focused squarely on shipping beautiful, reliable products at massive scale, while building a customer-focused team to achieve these aims. We're looking for a Machine Learning Engineer to drive our machine learning strategy. We are primarily interested in candidates who have developed and released products to market, but can be flexible depending on aptitude and energy. As one of the inaugural Machine Learning Engineers at Persona, you will have an incredible opportunity to get in at the beginning to shape the design and development of Persona’s humanoid robot. Your Role: Collaborate on the design and development of the Persona ML software stack and support its application in manipulation, navigation, locomotion, and perception. Work with the ML team to craft and execute on a comprehensive plan for the development of machine learning models, keeping up to date with the state of the art in research and development. Work with the team to develop, test, and deploy software, machine learning pipelines, and data collection pipelines. Monitor and evaluate the performance of models in the real world. Collaborate with Universities and other companies. Collaborate in attracting, nurturing and growing the machine learning and autonomy teams. We're Looking For: Courage and grit to tackle some of the hardest problems in embodied AI. Enthusiasm for working collaboratively in a high paced team environment. 3+ years of experience in machine learning applied to robotics. Experience with deep learning frameworks (Pytorch, JAX, TensorFlow, etc.) Experience with cloud computing to develop models, store data, etc. (AWS, Azure, GCP) Strong understanding of the state of the art research in robot learning (behavior cloning for manipulation, reinforcement learning for locomotion, world models, etc.). Understanding of the challenges of deploying neural network models in the real world. Experienced in deploying both traditional and learning based approaches for robotics. Capable of writing high quality software. Thrive in fast paced and ambiguous environments. Strong first principles thinker. Preferred or Bonus Qualifications: An advanced degree (Masters or PhD) in computer science, robotics, machine learning, or another related field. Published papers at top ML/Robotics conferences (ICML, ICRA, CoRL, RSS, NeurIPS). Have deployed robots, collected large amounts of data, and trained large neural networks that work in production environments. Why join Persona AI? You'll shape technology that's redefining the possibilities of robotics and human interaction. Work alongside passionate teammates who value diversity, creativity, and continuous learning. Enjoy full access to advanced prototyping tools, labs, and the freedom to experiment and innovate. We offer competitive compensation, excellent benefits, flexible work environment, and equity opportunities.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. We are seeking a Principal / Distinguished AI/ML Researcher and/or Engineer with deep experience in reasoning, planning, and decision-making systems. This role is ideal for individuals who have architected post-training intelligence frameworks, integrated Large Reasoning Models (LRMs) with Knowledge Graphs, and applied Reinforcement Learning (RL) as a first-class component of adaptive planning and control. You will be responsible for inventing, scaling, and operationalizing intelligent decisioning substrates that blend symbolic and sub-symbolic methods, enabling next-generation AI systems that go beyond pattern recognition into the realm of deliberation, foresight, and agency. Our mission is to build cognitive AI systems that combine post-trained foundational models, explicit memory and knowledge, and recursive planning strategies to power sophisticated real-world decisioning in personalized environments. You will collaborate across disciplines and influence company-wide AI architecture. A core dimension of this role is the design and deployment of multi-agent systems, where reasoning, planning, and decisioning are distributed across networks of intelligent agents. You will formulate coherent, synergistic strategies that enable agents to cooperate, negotiate, and align objectives, ensuring that distributed intelligence converges to purposeful, high-quality outcomes across contexts. This role has the potential to fundamentally transform Airbnb from a platform that primarily predicts and ranks into a platform capable of reasoning, planning, and making adaptive decisions across complex real-world environments. In the short term, the impact comes from improving decision quality, contextual intelligence, adaptive personalization, and operational coordination across guest and host workflows. AI systems would move beyond static prediction and retrieval toward goal-directed reasoning systems capable of handling ambiguity, constraints, trade-offs, and multi-step planning. Guests would experience more intelligent planning, coordination, and conversational assistance, while hosts and internal teams would benefit from systems capable of adaptive optimization, dynamic recommendations, policy-aware decisioning, and intelligent workflow orchestration. Internally, these systems would significantly improve search, ranking, personalization, support, experimentation, and operational automation by introducing reasoning-aware and planning-aware intelligence into the AI stack. In the medium term, Airbnb could evolve into a deeply adaptive cognitive marketplace platform where AI systems continuously reason about goals, constraints, user intent, marketplace dynamics, and long-term outcomes. Instead of isolated models making narrow predictions, the platform would increasingly operate through reasoning and planning substrates that coordinate retrieval, memory, reinforcement learning, knowledge graphs, and multi-agent orchestration into unified decision-making systems. Airbnb would gain the ability to support complex multi-stage planning and adaptive coordination across travel, hosting, operations, support, trust, and marketplace optimization. This would create stronger ecosystem intelligence, operational leverage, adaptive personalization, and marketplace resilience while enabling the platform to handle increasingly sophisticated and dynamic real-world interactions. In the long term, this role helps establish Airbnb’s strategic leadership in cognitive AI systems and distributed intelligence architectures. The technologies developed under this role become the decisioning and reasoning substrate underlying the entire ecosystem — enabling AI systems that can deliberate, coordinate, adapt, simulate outcomes, reason under uncertainty, and make coherent long-horizon decisions across multiple agents and environments. Airbnb would evolve beyond a recommendation and transaction platform into an intelligent coordination and planning ecosystem capable of operating as a large-scale real-world cognitive system. Over time, this could position Airbnb as one of the most advanced applied reasoning and multi-agent intelligence platforms in the consumer internet — where AI systems do not merely predict behavior, but actively reason, plan, and coordinate actions across the marketplace in ways that continuously improve user outcomes, ecosystem health, and long-term strategic adaptability. • Drive foundational and applied research in reasoning engines, planning architectures, and decision-making frameworks at scale in order to incorporate genAI into the ranking / recommendation / personalization stack in both single model to multi-agent ( system ) level intelligence with objective to grow the business (new user growth, abandoned user, long tailed user) in existing and new business areas while supporting Multi-Modal NL → Conversational Interfaces., • Advance techniques in LLM/LRM post-training, reinforcement learning–based decisioning, and knowledge-integrated agents., • Design methods for plan induction, value estimation, and contingency modeling within intelligent agents., • Explore and validate protocols for distributed reasoning and joint planning among cooperative agents in multi-agent systems., • Architect RPD systems that integrate post-trained LLMs/LRMs, graph-structured memory (e.g., KGs), and RL-driven controllers., • Design recursive task planners, search-based or policy-based reasoners, and belief-state trackers that can interoperate with large model substrates., • Ensure modularity and extensibility through multi-agent frameworks, agentic substrates, and declarative planning pipelines., • Define communication protocols, coordination strategies, and cross-agent knowledge alignment mechanisms to foster emergent cooperative intelligence., • Build and evolve stateful, dynamic models that combine supervised learning with online/offline reinforcement, simulation-based rollouts, and symbol grounding., • Implement hybrid pipelines that couple learned embeddings, prompted generative models, and graph-theoretic inference., • Optimize systems for adaptive exploration, planning horizon control, and policy robustness., • Develop frameworks for distributed value propagation, multi-agent credit assignment, and global planning from local agents., • Set direction for planning/reasoning infrastructure within the AI/ML platform strategy., • Serve as the technical conscience and architectural leader across high-stakes AI initiatives involving autonomous agents or high-fidelity decision pipelines., • Mentor teams in systems thinking, causal modeling, symbolic-connectionist integrations, and long-term planning under uncertainty., • Lead development of multi-agent reasoning systems, defining principles for inter-agent knowledge exchange, goal delegation, and cooperative decision resolution., • Work across disciplines—product, infra, and design—to translate ambiguous product intent into multi-stage reasoning pipelines., • Partner with researchers, ontologists, and ML engineers to encode world knowledge, goals, and values into usable inference artifacts., • Contribute to a company-wide understanding of what it means to make intelligent choices, not just predictions., • Collaborate with internal teams on distributed agent coordination, shared memory protocols, and policy harmonization across decision surfaces., • Productionize real-time reasoning loops with low-latency inference, caching, retrieval-augmented generation, and streaming updates to symbolic memory., • Deploy post-training hooks for inserting logic, constraints, and domain priors into existing large models., • Create advanced monitoring, attribution, and evaluation pipelines for agent behavior and decision quality., • Operationalize multi-agent orchestration, ensuring reliable and fault-tolerant communication and decision propagation., • Masters or equivalent in Computer Science, AI, Cognitive Science, or related fields., • Recent published work or patents in AI, Cognitive Science, or related fields., • 15+ years in AI/ML, including post-training architectures and production-scale reasoning systems., • Advanced coding proficiency in Java, Python, C++, or similar, with experience in ML/RL frameworks (e.g., PyTorch, Ray, JAX, RLlib) at scale., • Proven experience integrating LLMs/LRMs with Knowledge Graphs or structured world models., • Deep understanding of Reinforcement Learning and its application to decisioning and planning., • Fluency in hybrid model architectures: connectionist-symbolic fusion, retrieval-based agents, or goal-directed transformers., • Experience working on multi-agent coordination, distributed RL, or cooperative inference systems., • Ph.D. in AI, Machine Learning, Robotics, Cognitive Systems, or related areas., • Published work or patents in multi-agent reasoning, plan synthesis, knowledge-augmented learning, or generative control., • Experience in cognitive architectures, neuro-symbolic systems, or agent-based simulation environments., • Demonstrated ability to lead cross-functional research-to-production transitions., • Experience with memory architectures, task graphs, or semantic program induction., • Prior work on distributed intelligence platforms with explicit agent interaction models and collective decision-making logic. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. _ . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: _. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: _ The Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving. You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ideas and rigorous experimental validation. You will... • Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving., • Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale., • Architect and build the engineering foundations of our long-term mapping infrastructure., • Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data., • Design and develop comprehensive metrics, observability, and anomaly detection across various systems., • Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs., • Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles. Qualifications: • BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience., • Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures., • Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust., • Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept)., • Hands-on experience building distributed systems on modern cloud platforms. Bonus/nice to have: • A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates., • Prior experience with autonomous vehicles, HD mapping, or robotics., • Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS., • Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems., • Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka)., • Open-minded and collaborative team player with strong willingness to help others. The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. _, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the Team As a Senior Machine Learning Engineer – Learned Planner / Reinforcement Learning, you will develop and deploy machine learning models that drive decision-making for autonomous trucks. Working closely with teams across perception, prediction, planning, and safety, you will build learned behavior systems that enable safe, efficient, and human-like driving in real-world freight environments. This role focuses on owning model development and delivery for scoped problem areas, contributing to architecture decisions, and driving improvements in model performance, reliability, and iteration speed within the autonomy stack. What You’ll Do • Design, develop, and deploy learned behavior models using approaches such as reinforcement learning, behavior cloning, and imitation learning, • Own end-to-end model development for scoped problem areas, from data ingestion and training to evaluation and deployment, • Write production-quality ML code to support scalable training, evaluation, and inference workflows, • Analyze model performance, identify failure modes, and iterate to improve robustness and generalization across driving scenarios, • Contribute to training pipelines, data workflows, and infrastructure, including working with large-scale datasets from simulation, fleet logs, and on-vehicle data, • Collaborate with simulation, validation, and autonomy teams to test and evaluate learned behavior models across diverse environments, • Support integration of learned planning models into simulation and validation frameworks, enabling faster iteration and improved coverage, • Contribute to model architecture discussions and technical decision-making within the team, • Mentor junior engineers on implementation, experimentation, and best practices What You’ll Need to Succeed • Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or related technical field with 6+ years of industry experience, OR Master’s degree with 3+ years OR PhD with 1+ years of experience, • Experience applying reinforcement learning, imitation learning, or sequence modeling to robotics, autonomous systems, or complex control problems, • Strong programming skills in Python and PyTorch, with experience writing production-quality ML code, • Experience training, evaluating, and improving models using large-scale datasets and distributed compute environments, • Solid understanding of ML architectures used in autonomy systems (e.g., transformers, RNNs, graph neural networks, policy networks), • Experience debugging model behavior, analyzing performance metrics, and improving model reliability, • Ability to translate ambiguous problems into structured ML solutions and deliver results independently, • Experience collaborating cross-functionally to integrate ML models into larger autonomy systems Bonus Points: • Experience in autonomous driving, robotics, or simulation-based training environments, • Experience with reinforcement learning frameworks or distributed training systems (e.g., Ray), • Experience working with simulation environments, scenario generation, or large-scale behavior datasets, • Familiarity with vehicle dynamics, motion planning, or multi-agent decision-making systems, • Experience deploying ML models into production or real-world robotics systems, • Experience with learned planning systems or policy learning in real-world or simulation environments, • Experience integrating learned behavior models into validation and V&V workflows, • Background in multi-agent modeling, driver behavior modeling, or long-horizon decision-making systems Work Location: For this position, we are open to hiring in either the Ann Arbor, MI OR Blacksburg, VA (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States Perks of Being a Full-time Torc’r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: • A competitive compensation package that includes a bonus component and stock options, • 100% paid medical, dental, and vision premiums for full-time employees, • 401K plan with a 6% employer match, • Flexibility in schedule and generous paid vacation (available immediately after start date), • Company-wide holiday office closures, • AD+D and Life Insurance At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Job ID: 102603 Hiring Range for Job Opening US Pay Range $226,400 - $271,700 CAD

Flock Safety is the leading safety technology platform, helping communities thrive by taking a proactive approach to crime prevention and security. Our hardware and software suite connects cities, law enforcement, businesses, schools, and neighborhoods in a nationwide public-private safety network. Trusted by over 5,000 communities, 4,500 law enforcement agencies, and 1,000 businesses, Flock delivers real-time intelligence while prioritizing privacy and responsible innovation. We’re a high-performance, low-ego team driven by urgency, collaboration, and bold thinking. Working at Flock means tackling big challenges, moving fast, and continuously improving. It’s intense but deeply rewarding for those who want to make an impact. With nearly $700M in venture funding and a $7.5B valuation, we’re scaling intentionally and seeking top talent to help build the impossible. If you value teamwork, ownership, and solving tough problems, Flock could be the place for you. Flock Safety is looking for a Mechanical Engineer to join our Aviation Engineering team. As we expand our Drone as First Responder (DFR) vertical, this role will be pivotal in bringing the design expertise needed to manufacture and deploy novel small unmanned aerial systems (UAS) at scale. You will work within the Airframes division to help develop custom mechanical components for our Alpha quadcopter platform. This is a high-impact role where you will bridge the gap between initial industrial design and scalable manufacturing, ensuring our drones are rugged, reliable, and capable of supporting critical public safety missions. From vibration mitigation and gimbal design to cross-functional integration with docks and payloads, you will be at the heart of our hardware innovation. We’re looking for people with: Bachelor’s degree in Mechanical Engineering, Aerospace Engineering, Mechatronics, or a related technical discipline. Proven track record in mechanical design, ideally within the aerospace or robotics industry. Expert-level proficiency in Solidworks and experience with Solidworks PDM and GD&T standards. Background in designing for manufacturing (DFM) in complex, multi-subsystem assemblies (200+ parts). Experience designing for plastic injection molded manufacturing, including draft angles, wall thickness, and gate placement. Experience running rigorous test plans and analyzing test data to iterate on mechanical designs. Deep understanding of vibration damping and mitigation in high-frequency environments for flight controllers, gimbals, or sensitive electronics. Experience in high-growth environments; you are flexible, act like a "first responder," and are willing to do what it takes to get the job done. Comfortable collaborating with remote cross-functional teams across time zones. The ideal candidate will have: Experience with Arena integration for PLM. Experience with quadcopter development (professional preferred, but high-level hobbyist experience is valued). Experience with electronics packaging and managing thermal/mechanical constraints. Feeling uneasy that you haven’t ticked every box? That’s okay, we’ve felt that way too. Studies have shown women and minorities are less likely to apply unless they meet all qualifications. We encourage you to break the status quo and apply to roles that would make you excited to come to work every day. We subscribe to 90-day plans and believe that good days lead to good weeks, which lead to good months. This serves as a preview of the 90-day plan you will receive if you were to be hired as a Mechanical Engineer at Flock Safety. Develop a comprehensive understanding of our current aircraft manufacturing process Demonstrate a high-level understanding of quadcopter subsystems and complete all required technical and cultural onboarding. Begin contributing to mechanical design by developing assembly drawings for production handoff. Work with Airframes peers and cross-functional groups to refine design philosophy Manage relationships with teams to ensure seamless mechanical integration between the aircraft and its base station/sensors. You will be fully confident in your ability to lead design efforts for our next-generation airframes while maintaining strict CAD and PDM standards. Apply key learnings from your time on the manufacturing floor (working with Operations) to our production aircraft, ensuring our designs are optimized for scale and reliability. In this role, you’ll receive a starting salary between $140,000-$190,000 as well as Flock Safety Stock Options. This is a full-time, onsite role based at our manufacturing and engineering facility in Atlanta, GA. Because this position is deeply integrated with our production line and flight testing operations, you will be expected to be onsite Monday-Friday. We believe that this engineer will be most successful when they can walk over to the assembly line, collaborate face-to-face with our airframes team, and see designs take flight in real-time. If you thrive in a high-energy, "hands-on" environment and are excited to be at the heart of where our technology is built, you’ll fit right in. We want our interview process to be a true reflection of our culture: transparent and collaborative. Throughout the interview process, your recruiter will guide you through the next steps and ensure you feel prepared every step of the way. To check out our interview stages and how you should prepare _. 🌴Flexible PTO: We seriously mean it, plus 11 company holidays. ⚕️Fully-paid _ plan for employees: including Medical, Dental, and Vision and an HSA match. 👪Family Leave: All employees receive 12 weeks of 100% paid parental leave. Birthing parents are eligible for an additional 6-8 weeks of physical recovery time. 🍼Fertility & Family Benefits: We have partnered with _, a complete digital health benefit for starting and raising a family. In 2025, Flock will provide a $ 50,000-lifetime maximum benefit related to eligible adoption, surrogacy, or fertility expenses. 💖Caregiver Support: We have partnered with _ to provide our employees with caregiver support 💸Carta Tax Advisor: Employees receive 1:1 sessions with Equity Tax Advisors who can address individual grants, model tax scenarios, and answer general questions. 💚ERGs: We want all employees to thrive and feel like they belong at Flock. We offer three ERGs today - Women of Flock, Flock Proud, and Melanin Motion. If you are interested in talking to a representative from one of these, please let your recruiter know. 💻WFH Stipend: $150 per month to cover the costs of working from home. 📚Productivity Stipend: $250 per year to use on Audible, Calm, Masterclass, Duolingo, Grammarly and so much more. 🏠Home Office Stipend: A one-time $750 to help you create your dream office. 🐾Pet Insurance: We’ve partnered with _ to provide insurance for our employee’s fur babies. Flock is an equal opportunity employer. We celebrate diverse backgrounds and thoughts and welcome everyone to apply for employment with us. We are committed to fostering an environment that is inclusive, transparent, and collaborative. Mutual respect is central to how Flock operates, and we believe the best solutions come from diverse perspectives, experiences, and skills. We embrace our differences and know that we are stronger working together. If you need assistance or an accommodation due to a disability, please email us at recruiting@flocksafety.com. This information will be treated as confidential and used only to determine an appropriate accommodation for the interview process. At Flock Safety, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, as well as market indicators. The range above is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future. This job posting may span more than one career level. Flock Safety is aware of fraudulent individuals and agencies falsely claiming to represent our company. All legitimate communication from Flock Safety will come from an email address ending in @. We do not make job offers through messaging apps, social platforms, or unauthorized third parties, and we will never request payment or sensitive personal information during the hiring process. If you encounter suspicious outreach related to a Flock Safety role, please report it to

Do you get excited when your software actually interacts with the physical world? Are you ready to learn the new exciting world of smart robots? Do you feel tired of working in a big company? Would you like to cooperate with top professionals in our industry? If your answers are mostly yes, then you should keep reading. At Nomagic, we're on a mission to teach robots the real world. We're now looking for a Senior Commissioning Engineer, who takes ownership of on-site system commissioning, ramp-up, and stabilization across our customer deployments in live warehouse environments. • Play with robots every day, • Salary: Competitive US market salary (based on experience) plus equity, • Relocation package (travel expenses fully covered), • Truly flexible working hours, • English-speaking environment, • We build robots powered by AI, • We have them in production at scale and see their real impact on critical operations., • We test our code in unit tests, simulations and on real robots!, • We're still pretty small, so everyone has a direct impact on the final result, • Our team has built Google Warsaw, unicorn startups (Climate Corp), tested rocket engines and worked at top companies such as Nvidia or ByteDance. Now we shape the future of smart robotics together!, • We combine world-class research with top-notch engineering and apply it to solve real problems, • Lead on-site commissioning of robotic picking systems at customer warehouses, • Bring systems from mechanical completion through first picks, ramp-up, and production handover, • Validate hardware, electrical, controls, and software integration on-site, • Diagnose and resolve issues across mechanical, electrical, controls, and software domains, • Work closely with remote engineering teams to troubleshoot and deploy fixes, • Execute test plans, acceptance criteria, and performance validation, • Train customer operators and maintenance teams during handover, • Document commissioning procedures, lessons learned, and site-specific configurations, • Support continuous improvement by feeding field insights back into engineering and product teams, • 5–10+ years of hands-on experience commissioning or deploying industrial automation or robotic systems, • Strong practical experience with robotic cells, automation equipment, or warehouse systems, • Comfortable working across mechanical, electrical, controls, and software interfaces, • Experience with industrial robots (ABB strongly preferred; others welcome), • Ability to read and understand mechanical drawings, electrical schematics, and system layouts, • Strong troubleshooting skills and calm execution in live production environments, • Willingness and ability to travel ~75% of the time, • Excellent communication skills in English (customer-facing role), • Self-driven, organized, and comfortable working independently in the field Nice to have: • Experience with warehouse automation, intralogistics, or fulfillment environments, • PLC or controls troubleshooting experience, • Familiarity with safety systems (E-stops, scanners, light curtains), • Experience working in startup or fast-scaling engineering environments, • 30-minute recruiter screen, • 60-minute technical prescreen, • 45-minute hiring manager interview, • Onsite or virtual interview loop (½ day total), • We make the final decision after max. 2–3 days after on-site interview., • Important: Feedback after completing the recruitment process. See Our Robots in Action: _ _ Learn more about us at _ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

Meet the Team As a Machine Learning Engineer II – Road & Lane, you will help develop next‑generation models that estimate road surfaces, lane geometry, and lane topology within Torc’s autonomy stack. You will work closely with perception, mapping, and planning teams to deliver high‑quality, production‑ready lane perception models that enable safe and reliable autonomous trucking. What You'll Do • Develop and train computer vision and deep learning models for road‑lane detection using monocular and multimodal sensor data (camera, LiDAR, radar)., • Build 3D road surface and lane geometry models in BEV space and integrate them into Torc’s autonomy pipeline., • Analyze model performance, identify corner cases, and improve robustness under diverse environmental and long‑tail conditions., • Develop and optimize large‑scale data processing workflows, including annotation, pseudo‑labeling, and data augmentation., • Implement scalable training and evaluation pipelines for lane perception models., • Own deployment-focused work to optimize models for real‑time execution on automotive‑grade hardware., • Leverage SD and HD map priors to improve lane estimation accuracy and stability., • Contribute to architectural discussions, model reviews, and system‑level integration efforts. What You'll Need to Succeed • Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related field with 4+ years of experience, or a Master’s with 2+ years., • Hands‑on experience developing ML models for perception tasks such as lane detection, road surface modeling, multi‑camera fusion, or related geometry estimation., • Strong understanding of camera calibration, multi‑sensor alignment, and projection between image and BEV spaces., • Proficiency in Python and PyTorch, with experience writing production‑quality machine learning code., • Experience training models on large datasets and using scalable compute environments., • Understanding of relevant ML architectures, such as CNNs, transformers, and BEV‑focused perception networks., • Ability to analyze model performance metrics, debug failure cases, and iterate effectively., • Ability to work cross‑functionally with autonomy, perception, and software engineering teams. Bonus Points • Experience working specifically on lane perception, BEV networks, or road topology estimation., • Experience with CUDA kernels or custom PyTorch operations., • Familiarity with SD maps, localization pipelines, or map‑based priors., • Experience with distributed training or large‑scale experimentation frameworks (e.g., Ray)., • Publications in major ML/CV conferences (CVPR, ICCV, NeurIPS). Hiring Range for Job Opening US Pay Range $153,200 - $183,300 USD Job ID: 102516

Location: Remote, United States Employment Type: Contract / Temporary Work Location: US, CA, Remote Sustainable Talent is partnering with NVIDIA, a global leader that has been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for an Autonomous Vehicle Operator – Autonomous Vehicle Test Engineer to support our client’s autonomous vehicle testing team. This role is remote and will focus on test creation, quality analysis, and issue investigation for autonomous vehicle software systems. This is a W-2 full-time REMOTE contract role. We offer competitive pay $70/hr-$97/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture! We are seeking a highly technical and detail-oriented professional who is passionate about autonomous vehicle technology and excited to work at the intersection of software, hardware, and vehicle testing. In this role, you will analyze issues reported from vehicle testing, create and manage test suites, support testing infrastructure, and help improve the quality and accuracy of autonomous vehicle software. As a member of the Autonomous Vehicle Test team, you will support end-to-end problem analysis for issues identified during daily vehicle testing. You will work closely with software and hardware engineering teams across multiple disciplines to help deliver a high-quality autonomous driving product. Responsibilities include: • Analyze issues reported from routine autonomous vehicle testing., • Execute problem analysis processes, including issue triage, root cause analysis, issue categorization, reporting, and summary documentation., • Create test suites, manage test configurations, and support infrastructure for running tests., • Analyze test accuracy and investigate root causes of errors that lead to inaccurate test results., • Communicate with development teams to understand functional design and stay current on evolving technologies., • Develop documentation and tools to support issue analysis., • Collect test data from routine in-car testing and provide feedback on software performance after testing and analysis., • Collaborate with automotive software testing, software engineering, and hardware engineering teams to improve product quality., • Technical education or background in Electrical Engineering, Automotive Engineering, Computer Science, Software Engineering, or a related field., • Experience and proficiency with Python., • Experience in test engineering within a robotics or automotive environment., • Strong analytical and problem-solving skills., • Ability to perform issue triage, root cause analysis, and technical documentation., • Self-motivated mindset with a willingness to learn new technologies and adapt in a fast-moving environment., • Strong communication skills and the ability to collaborate with cross-functional engineering teams., • Passion for autonomous vehicle technology and software quality., • Experience in software testing or software development for autonomous vehicles or autonomous driving systems., • Experience creating test suites or managing test infrastructure., • Familiarity with vehicle data analysis, robotics testing, or automotive software validation., • Ability to work across both software and hardware teams in a technical testing environment. Sustainable Talent is a certified woman-owned company specializing in recruitment, consulting, and workforce solutions. We partner with innovative organizations to connect exceptional talent with meaningful opportunities across technology, engineering, operations, and professional services. Sustainable Talent is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive workforce and welcome applicants from all backgrounds, experiences, and perspectives.

A Singapore-based global leader in high-precision mechatronics, specializing in direct drive motors, precision stages, and gantry systems used inside the equipment that builds and tests semiconductors. With 27 years of engineering excellence and hallmark customers including Samsung, Intel, Applied Materials, and ASM, the company is now expanding its presence in the North American market. This is a ground-floor opportunity to build and lead the company's U.S. commercial operations — with the full backing of an established global engineering organization and a dedicated U.S.-based Sales Engineer already onboard to partner with you on the technical side of the business. Think of a hamburger. The fabs (Intel, TSMC, Samsung, Micron) are the customer eating the cheeseburger. The big OEMs and machine builders (the back-end semiconductor capital equipment companies) are the ones making and selling the cheeseburger to those customers. Our company makes the patty — the motion subsystem that goes inside their machines. We do not sell directly to the fabs. We sell to the people building the machines that go into those fabs, and we sell through the channel partners and distributors who supply them. The right person for this role understands how to sell components and subsystems into OEMs — not how to sell finished tools to fab customers. They've sold patties, not cheeseburgers. • Develop and execute the company's go-to-market strategy for the U.S. back-end semiconductor capital equipment market, • Build and manage a pipeline of high-value OEM accounts — back-end machine builders, packaging and assembly equipment makers, test and inspection companies, • Establish and grow relationships with engineering teams, procurement leaders, and design-in decision-makers at target OEMs, • Build and manage a channel partner and distributor network across the U.S., • Work closely with the company's Singapore-based engineering and product teams to bring customer requirements into product specifications, • Partner directly with the U.S.-based Sales Engineer to convert technical opportunities into closed business — they own pre-sales engineering, demos, and technical specs while you own commercial strategy and customer relationships, • Oversee sales forecasting, budgeting, and reporting to senior management, • Manage long design-in sales cycles (typically 9–18 months) from first contact to closed purchase order, • Provide regular competitive and market intelligence back to the global team, • Lay the foundation for a broader U.S. sales team as the business scales, • 5+ years selling into back-end semiconductor manufacturing equipment OEMs — this is non-negotiable. Strong candidates will come from either:, • Motion control / precision components companies selling into back-end semi OEMs — Aerotech, PI (Physik Instrumente), Parker Hannifin, Dover Motion, Kollmorgen, Yaskawa, Beckhoff, Celera Motion, Renishaw, or similar, • Back-end semiconductor OEMs themselves — ASM Pacific Technology, Kulicke & Soffa, Besi, Hanmi Semiconductor, Cohu, DISCO, Accretech, Teradyne, Advantest, Yamaha Robotics, or similar, • Strong understanding of how components and subsystems get designed into OEM equipment platforms, • Experience selling through distributors and channel partners, not just direct enterprise sales, • Active relationships with engineering and procurement teams at U.S.-based back-end semi OEMs, • Proven track record of meeting or exceeding quota in a complex, long-cycle sales environment, • Comfortable navigating 9–18 month design-in sales cycles with multiple technical and commercial stakeholders, • Demonstrated ability to build territory, market presence, or channel network from scratch, • Strong communicator — able to translate technical value into commercial outcomes, • Willingness to travel across the U.S. regularly to meet customers, attend trade shows, and visit partners, • U.S.-based and authorized to work in the United States without sponsorship, • Deep hands-on familiarity with direct drive motors, linear stages, gantry systems, air bearings, or servo systems at a product level, • Engineering or technical background (degree in EE, ME, Mechatronics, or similar), • Experience working with or reporting to an international headquarters — especially in Asia, • History of stable, long-term tenure — we are looking for someone who builds, not someone who moves on, • Existing relationships with engineering decision-makers (not just procurement) at target back-end OEMs, • Base Salary: $170,000, • Commission: Uncapped, paid quarterly on collection. The commission plan will be finalized with the selected candidate to align with their experience and the territory ramp. Leadership has been explicit that strong performers will be paid accordingly — there is no ceiling., • Realistic Earning Potential: Top performers in comparable roles earn $300,000+, • Health, dental, and vision coverage, • 401(k), • Travel and expense reimbursement, • Remote / home office, • Build something from the ground up with the full backing of a 27-year-old global engineering company, • Dedicated U.S.-based Sales Engineer already in place — you focus on opening doors and closing deals while your technical partner handles pre-sales engineering, customer specs, and product demonstrations, • Truly uncapped commission — leadership has been explicit that strong performance will be rewarded accordingly. Top performers can earn well into six figures of commission with no ceiling, • Direct access to senior leadership in Singapore — short decision cycles, no corporate politics, • First mover advantage in an underserved U.S. market with a product line that already wins in Asia, • World-class precision technology used by some of the most advanced manufacturers on the planet The company is an equal opportunity employer. We welcome applicants from all backgrounds.

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. _, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the Team Torc’s Data Engineering team is a highly collaborative group focused on building secure, scalable systems that let customers work with data easily and confidently. We operate as a distributed, remote-first team, ensuring everyone has equal access to information and collaboration. Our work includes frequent touchpoints—daily standups, planning sessions, and ad hoc discussions over Zoom or Slack. Because we own our services end-to-end, each engineer participates in a business hour on call rotation. We prioritize healthy work/life balance and sustainable development over heroic efforts. What You’ll Do We are looking for a Software Engineer who is eager to learn and grow while helping build and support Linux- and cloud-based data systems. In this role, you’ll work closely with experienced engineers to contribute to AWS-based data ingestion, ETL, and storage solutions that enable analytics, simulation, and ML training across the company. Create robust and resilient pipelines to process massive daily volumes of data created by vehicle fleets and simulation environments Build and support scalable pipelines as part of Torc’s Data Factory to deliver data for ML training at scale Scale Torc’s data lake through a distributed storage system, data crawling and discovery Promote and protect the integrity of data through validation, versioning, data provenance, and governance Support the expansion of Torc’s data lake through acquisition of additional data sets from internal and external sources Assist in the development and delivery of cloud-based solutions Collaborate with teams specializing in perception, planning, control, mapping and vehicle testing to develop solutions that support product delivery Support the implementation of emerging cloud-based capabilities that can extend our technology stack and improve our ability to build, deploy and test safety-critical software for self-driving vehicles Participate in the team’s on-call rotation to support our deployed systems during business hours Here’s a list of some of the technologies we use to make all the above happen: Managed services powered by AWS (Lambda, SFN, Batch, EventBridge, Athena, Glue) Linux / Bash Docker Terraform Python React/Javascript On-Call Tooling (Datadog, AWS Cloudwatch) Databricks What You’ll Need to Succeed BS/MS Degree in Computer Engineering, Computer Science, or related field Experience writing code using Python Practical experience with Docker and containerization A strong commitment to test-driven development patterns, continuous integration and delivery, and infrastructure as code Experience with Linux and general bash scripting Experience deploying, troubleshooting, monitoring and maintaining Linux systems Bonus Points Strong organizational, time management, and communication skills working with a team orientation and collaborative style Experience developing cloud-based serverless solutions Experience with pandas, numpy and other Python-based data analysis libraries and tooling Knowledge of AWS serverless architectures (Lambda, Batch, ECS Fargate, Glue, Athena) Experience with data storage and acquisition patterns for robotics and advanced driver assistance systems Knowledge of different database architectures, including but not limited to relational and NoSQL databases, vector stores, data warehousing and clustered, distributed data stores Experience with the Databricks platform, particularly for serving data, visualizations and jobs Experience with scaling data for ML and AI workloads using Ray Perks of Being a Full-time Torc’r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: • A competitive compensation package that includes a bonus component and stock options, • 100% paid medical, dental, and vision premiums for full-time employees, • 401K plan with a 6% employer match, • Flexibility in schedule and generous paid vacation (available immediately after start date), • AD+D and Life Insurance At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Job ID: 102737 Hiring Range for Job Opening US Pay Range $114,400 - $137,300 USD

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods — and eventually people — move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. As a Remote Piloting Test Engineer at Reliable Robotics, you will be a part of the Remote Piloting Software Team. This team is responsible for building the pilot-facing application software that is used to command the aircraft's advanced automation systems — both onboard, and remotely. You will join a team of interdisciplinary and mission-driven engineers with experience across aerospace, robotics, and self-driving vehicles. Responsibilities In your role as a Remote Piloting Test Engineer, you will drive the development and buildup of simulators, testbeds, and supporting software tools used for pilot training and human-in-the-loop testing. You will also support the release and verification process for flight software, a critical function of our flight test program. You will work in a highly collaborative environment and coordinate with multiple engineering teams across the company as you develop test plans, execute tests, investigate issues, and drive problems to closure. You will also have the opportunity to develop automated test cases and frameworks, and support the development of flight test UI software as needed. This is a hands-on role, involving the maintenance, installation, and troubleshooting of simulators and testbeds. \n Basic Success Criteria • Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experience, • Private Pilot certificate or greater, • 3+ years of experience testing integrated hardware/software products or safety-critical systems, • 2+ years experience with C/C++, Python, and/or Javascript, • Strong technical, organizational, problem-solving, and root-cause investigation skills, • Excellent documentation and collaboration skills Preferred Success Criteria • Previous experience managing software release, verification, and change processes, • Experience coordinating with flight operations and engineering to develop flight test plans, • Experience developing robotics or other safety critical software, • Previous experience developing automated test cases, • Demonstrated ability to build or maintain a hardware-in-the-loop test environment, • Previous experience integrating flight simulators, • Experience participating in flight testing or other flight related operations, • 5+ years experience developing user-facing software, • Experience working with large remotely operated systems (UAVs, spacecraft, etc), • Demonstrated ability to work in a self-directed manner in a fast-paced environment \n Must be willing to travel 10% of the time. The estimated salary range for this position is $112,500 to $193,000. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity. In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment.

We’re a fast-moving team of engineers building the Remote Control system that powers teleoperation and fleet management for autonomous cars and delivery robots. Our tools enable operators to assist vehicles in complex urban environments via real-time video, map-based navigation, and custom interfaces optimized for low-latency decision-making. We care about performance, reliability, and thoughtful UX design — all in service of safe and scalable autonomy operations. We’re looking for a Senior Frontend Engineer to help us push the boundaries of what real-time web interfaces can do. You’ll be responsible for developing the operator-facing frontend of our Remote Control stack - the live command center that humans use to assist cars and robots in the wild. This is a hands-on, high-impact role where your work directly shapes how autonomy operates at scale. • Build and maintain low-latency, real-time interfaces for controlling autonomous cars and robots, • Architect robust React applications that integrate live video feeds, real-time maps, and interactive controls for navigation and remote assistance, • Optimize for operator efficiency: keyboard workflows, high-res layouts, fast feedback loops, • Collaborate with backend, robotics, and UX teams to shape APIs and flows for reliability under edge conditions, • Ship fast, iterate often, and deliver responsive, intuitive tools that support autonomous vehicle operations, • Strong React and TypeScript skills — proven track record building fast, maintainable apps, • Real-time mindset — experience working with websockets, live data, or streaming video is a plus, • UI intuition — you care about interface design and performance, and you know how to debug slow or janky UIs, • System thinking — you know how frontend fits into the bigger picture, and you write code that holds up under load, • Experience with WebRTC, low-latency video, or socket-based architectures, • Familiarity with telemetry, maps, or robotics/vehicle systems, • Basic Python or Go skills for debugging backend issues Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available. Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email _.

Standard Bot’s mission is to significantly lower the barrier to entry to real-world automation, bringing the power of bits to the world of atoms and unlocking productivity for entire new industries and users. Our user-facing applications and APIs directly empower individuals and developers to jump directly into solving their challenges without the need for a background in robotics or automation. A relentless focus on simplicity and ease of use brings this revolutionary potential to new users and industries. We are looking for an exceptional Staff Software Engineer to serve as a technical force multiplier across the organization. This role focuses on tackling the most ambiguous, complex, and high-leverage engineering challenges that span multiple teams and domains. Your impact will be measured not just by the code you write, but by your ability to define the future state of our systems, drive massive, cross-cutting projects to completion, and significantly elevate the technical capabilities and standards of the entire engineering department. Define the Future: Own the long-term technical vision and strategy for major components of our platform, anticipating future scale, security, and product needs a year or more out. Decouple and Scale: Design and champion new system architectures that focus on clear, stable interfaces and domain decoupling to accelerate the velocity of multiple feature teams. Standard Setter: Establish and improve engineering excellence standards, including best practices for code quality, documentation, and the non-functional requirements (performance, reliability) that systems must meet. Drive Multi-Team Programs: Proactively identify, define, and lead complex, ambiguous, and high-risk technical programs (e.g., major platform refactors, organizational-level reliability efforts) that require coordination across 2-3 engineering teams. Pragmatic Trade-Offs: Cut through organizational and technical complexity, making clear, pragmatic technical trade-offs that balance long-term vision with timely delivery against business goals. Hands-on Delivery: Deliver technically deep, cross-cutting software solutions, primarily focusing on back-end systems but maintaining the necessary full-stack perspective to drive end-to-end integration. Systemic Reliability: Drive deep-dive root cause analyses (RCA) for critical, cross-domain production issues, transforming immediate crises into concrete, prioritized engineering work that prevents recurrence across the fleet. Technical Multiplier: Mentor and coach Senior and Mid-Level engineers across the organization, significantly contributing to their technical growth and thereby increasing the overall efficiency and quality of the engineering department. Influence & Accountability: Reliably improve and hold others accountable for a higher quality standard (e.g., reliability, performance, security) across the entire software team. We are looking for a highly self-driven, resourceful, and technically deep engineer who can operate with complete independence across domains. Experience: 8+ years of professional software engineering experience, including a proven track record of successfully leading large-scale, complex projects that span multiple engineering teams. At least 1 year of experience as a staff engineer in a large software organization. System Design: Deep expertise in architecting, developing, and operating distributed, highly-reliable, and scalable systems. Cross-Functional Influence: Proven ability to influence technical direction without direct authority and successfully partner with product management, hardware engineering, and executive leadership. Clarity of Communication: Exceptional written and verbal communication skills, capable of synthesizing complex technical risks and strategies for non-technical leadership. Proactive Simplicity: A relentless drive to reduce complexity, improve operational simplicity, and proactively identify organizational-level technical risks and address them before they become crises. Tech Stack Expertise: Fluency in our core stack is preferred (React, Typescript, Node.js, Python, C++, Kubernetes). This role is hybrid with 3 days/week onsite in our NYC office, centrally located near Grand Central Station. Direct Access to Robotics: Work alongside our physical products with dedicated demo and testing cells, allowing you to validate your work on real robots daily. Collaborative & Modern Space: Enjoy open collaborative spaces for team problem-solving and focus zones for deep work. Customizable Workstations: We provide ergonomic and customizable setups to ensure a comfortable and productive work environment. Amenities: Daily catered lunch, fully stocked kitchens with snacks and beverages, and regular team events. The salary range for this role is $210,000 to $300,000, depending on experience. Base salary is just one part of the overall compensation at Standard Bots. All Full-Time Employees are eligible for Employee Stock Options. We also offer a package of benefits including paid time off, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees.

Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 300,000 autonomy-enabled rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking talented data scientists and machine learning engineers to develop automated methods for contextualizing data collected by our autonomous vehicles. This will enable us to generate valuable insights from our data, making it easily searchable for triaging issues, creating test sets, and building datasets for autonomy improvements. Join us and make a crucial impact on our development and business decisions! • Evaluate simulation test results to drive release & safety decisions., • Work independently with cross functional teams to develop software and system requirements., • Lead team code quality activities including design and code reviews., • Communicate complex analytical findings and model performance metrics to both technical and non-technical stakeholders through clear visualizations and presentations., • Provide technical guidance to team members. Success in this role typically requires the following competencies: • Expertise in analyzing high-dimensional simulation data., • Experience building ML prediction models., • Detail-oriented with a focus on validation, testing, and error detection., • Awareness of the latest advancements in the field, with the ability to translate innovative concepts into practical solutions for May., • Excellent problem-solving skills with a meticulous approach to model architecture and optimization., • Ability to provide individual and team mentorship, including technical leadership for complex projects. Required • B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field., • 10+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithmic design and deep learning., • Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark)., • Demonstrated expertise in databases for data extraction, transformation, and analysis., • Proven experience building and managing large datasets and evaluations., • Hands-on expertise in architecting and training complex predictive machine learning models., • Prior experience in mentoring and supporting junior engineers. Desirable • Background in Autonomous vehicles, robotics, physics or related fields., • Hands-on experience working with simulation data. Benefits and Perks • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate., • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available., • Rich retirement benefits, including an immediately vested employer safe harbor match., • Generous paid parental leave as well as a phased return to work., • Flexible vacation policy in addition to paid company holidays., • Total Wellness Program providing numerous resources for overall wellbeing Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our _! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range $200,591 - $295,000 USD

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods — and eventually people — move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. As a Radar Systems Engineer, you will be a part of our Radar Engineering team. The Radar Engineering team is comprised of a small cross functional team of motivated and experienced engineers; we’re responsible for designing, building, and testing cutting edge phased array radar systems from concept to certified product. We enjoy a culture of sharing information and collaboration. Phased array radar systems have historically been reserved for specialized applications, but we’re making this technology affordable to enable Detect and Avoid for widespread commercial applications. This role will focus on new advanced operational modes. The passion for revolutionary technology to make aviation safer motivates us to come in every day. Responsibilities In your role as a Radar Systems Engineer, you will be responsible for analyzing phased array radar systems and developing radar processing algorithms to enable short, long range object tracking, and radar image generation. You will be involved in all phases of development from conception to production, designing your algorithms in Matlab, Python, and implementation in C++ on the target hardware. You will drive the system-level requirements of the phased array radar system, and drive trade studies collaborating with the cross functional teams. You will support the integration of the radar on the aircraft and support data collection and analysis during flight testing. You will be the owner of real-time processing of radar algorithms on an FPGA, DSP-based platform. Basic Success Criteria Electrical Engineering fundamentals, typically gained through a Bachelor’s Degree of Science or Engineering in Mechanical, Electrical, Aerospace, or a related discipline 8+ years of professional hands-on experience with Radar algorithms, radar system design, radar signal processing, integration, and test of a radar system Ability to use C++, Matlab and Python (Python preferred) Ability to troubleshoot, find root cause, and resolve issues Pulsed and FMCW processing algorithm development Experience in airborne radar testing and development Preferred Criteria Advanced Degree of Science or Electrical Engineering Experience developing system architectures and managing requirements for certification of Avionics Creative problem solver that can bring multiple disciplines together, with the ability to assess risk and make design and development decisions without all available data Experience integrating and troubleshooting various electronic sensors and components Weather radar experience, airborne or ground-based Real beam radar imaging, and or SAR processing This role can be remote, or located at our facility in Mountain View, California. Must be willing to travel 30% of the time. The estimated salary range for this position is $180,000 to $260,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity. In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment. This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant’s capacity to perform in compliance with U.S. export control laws. All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis. At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to work@reliable.co

You’re an engineer who is excited to work on cutting-edge software products and solutions using state-of-the-art computer vision and deep learning. You have a solid foundation in areas like detection, classification, segmentation, or tracking—whether through previous roles, internships, or research—and you’re eager to apply those skills in an impactful, production-focused environment. You’re curious, motivated, and ready to learn from experienced teammates. You enjoy solving challenging technical problems, asking thoughtful questions, and collaborating with others to build high-quality software. You’re excited about contributing to the perception stack for self-driving vehicles and learning what it means to build technology for safety-critical, open-world applications. What you’ll be doing: • Contribute to the design, development, and improvement of perception components that support downstream modules within the autonomy system., • Help analyze perception system performance to identify areas for improvement and participate in efforts to address them., • Work with teammates to explore creative approaches to “long-tail” challenges—for example, experimenting with synthetic data, data mining techniques, or new model architectures., • Depending on your background and interests, you may also help optimize and deploy models to the vehicle, ensuring they operate within the constraints of our onboard hardware and meet our functional requirements and interface specifications., • Interface with systems and safety engineers, test engineers, and data analysts to ensure appropriate requirements, test coverage, and performance metrics What We’re Looking for: • Master's or Ph.D. in Machine Learning, Computer Science, Robotics, or a related field; or equivalent industry experience, • Solid understanding of fundamental deep learning concepts and computer vision techniques, • Experience building, training, or evaluating neural networks, • Proficiency in Python and familiarity with libraries like PyTorch or similar, • Exposure to software engineering fundamentals—version control, code reviews, testing, and collaborative development, • Clear communication skills and willingness to ask questions, share ideas, and work with others Bonus Points: • Previous experience with sensor fusion and/or previous exposure to the AV industry, • Experience shipping a “real” product and balancing ongoing support with next-generation innovation, • Exposure to safety-critical products or components, • Publications in relevant conferences (CVPR, ICML, NeurIPS, etc.), • Strong programming skills in C++ and/or CUDA programming, • Experience with TensorRT and model quantization The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$136,500—$225,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on , , and _. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Due to the nature of our work in defense, Darkhive does not provide visa sponsorship for this role. Candidates must be eligible to obtain and maintain a security clearance, which usually requires US citizenship. About Darkhive, LLC Established in 2021, Darkhive builds hardware and software solutions designed to seamlessly integrate into the military defense system. We offer tactical uncrewed systems, human-machine interfaces, and software continuous delivery platforms. Darkhive is a company of U.S. Special Operations veterans, engineers, robotics perception experts, DevSecOps, defense technology executives, and superb support staff—above all, we are a mission-first team. We believe that the U.S. and our allies around the world deserve high-quality, affordable tools that keep them safe when each second counts. If you are a free-thinking problem solver who is looking for a highly collaborative and innovative environment, apply with Darkhive today! Senior Embedded Linux Engineer You’ll contribute to full-stack embedded development—from writing low-level Linux drivers to bringing up hardware prototypes in the lab. The work involves integrating high-performance camera sensors, wireless communication modules, and real-time subsystems on modern embedded Linux platforms. You'll be part of a small, fast-moving team shipping systems that operate in real environments, not just test benches. This is a full-time, exempt position reporting to the VP of Engineering. This position is remote with travel up to 25% to our company headquarters or other locations. Key Responsibilities • Develop and maintain Linux kernel drivers and low-level system software for embedded compute platforms, wireless modules, and custom MIPI image sensors, • Build and integrate software stacks for Wi-Fi and RF communication modules, including power management, firmware bring-up, and regulatory tuning, • Port and debug embedded Linux builds on Qualcomm Snapdragon platforms (Yocto, AOSP experience a plus), • Work with device trees, bootloaders, and system bring-up for new hardware platforms, • Perform hardware-software integration, including camera tuning, I2C/SPI debug, and scope/logic analyzer work, • Collaborate with hardware and mechanical teams to validate new designs and support board bring-up, • Support integration and troubleshooting efforts for customers using our hardware, including driver-level debugging and system-level recommendations, • Troubleshoot and optimize embedded systems for performance, stability, and RF compliance Requirements • Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related field (or equivalent practical experience), • Strong experience with Linux kernel development, kernel module creation, and driver debugging, • Solid understanding of MIPI CSI interfaces, camera sensor integration, and V4L2 pipeline, • Familiarity with wireless driver stacks (Wi-Fi/BT), including wpa_supplicant/hostapd and RF tuning, • Hands-on experience with embedded Linux platforms (e.g., Qualcomm Snapdragon, NXP i.MX, or similar), • Proficient with embedded toolchains, cross-compiling, and kernel/u-boot customization, • Comfortable working with hardware prototypes, schematics, oscilloscopes, and logic analyzers Preferred Qualifications • Experience with custom PCB bring-up and low-level hardware debugging, • Familiarity with sensor initialization via I2C/SPI and power sequencing, • Exposure to antenna tuning or RF compliance testing for wireless modules, • Experience with camera tuning (gain, exposure, white balance) or GStreamer pipelines, • Proficiency with Yocto or Buildroot for embedded Linux build automation, • Experience with JTAG/SWD debuggers, bootloader recovery, or automated hardware tests, • Knowledge of edge AI model deployment, • Familiarity with USB gadget drivers, PCIe or SDIO peripherals, or low-level protocol analyzers, • Direct experience in the Uncrewed Aircraft Systems (UAS) or robotics industry., • U.S. Military Veteran experienced with tactical equipment from a user or developer perspective., • Active Security clearance, • Prior experience in a fast-paced, startup environment Physical and/or Mental Requirements • Ability to sit and/or stand for periods of time., • Ability to use a keyboard, mouse, and other equipment with or without accommodations., • Ability to maintain awareness during business hours., • Ability to lift up to 15 pounds., • Excellent written and verbal communication and good command of the English language., • Learns and memorizes routine tasks., • Reasonable accommodations will be provided to any person with a disability to be able to perform the essential job functions of this position., • Darkhive retains the right to change or assign other duties as required for this position. Selection Process: • Hiring team reviews applications, • 15-minute pre-screen with Darkhive recruiter, • 30-minute phone screen with the hiring manager, • Take home project, • In-person or video interview with hiring team Benefits Darkhive offers: • Comprehensive medical plans, • 100% employer paid dental and vision insurance premiums, • Automatic 401k employer contribution with vesting, • Paid vacation and personal time off, • 11 Paid holidays, • 5 days of sick leave, • Stock options, • Welcoming and friendly work environment, • Respect of work-life balance Darkhive is an equal-opportunity employer and prohibits discrimination and harassment against any employee or applicant because of race, color, gender (including pregnancy), age, gender identity, creed, religion, national origin, sexual orientation, marital status, genetic information, disability, political affiliation, protected veteran status, or any other status protected by federal, state, or local law.

Mission Summary: The Autonomous Vehicle (AV) Test Engineering team at Motional is responsible for validating the safety, functionality, and performance of our self-driving technology through rigorous, system-level testing. As a Senior AV Test Engineer, you will take a lead role in the strategy, planning, and execution of comprehensive test campaigns that span perception, planning, and control systems across virtual, closed-course, and public road environments. In this role, you will guide test development efforts across multiple AV subsystems, mentor junior engineers, and drive improvements to our tooling, test infrastructure, and methodologies. You will lead cross-functional initiatives that directly impact release readiness and safety assurance, translating high-level engineering requirements into scalable test plans and measurable quality outcomes. Your work will contribute to iterative development, fault injection analysis, and validation of safety-critical systems that meet the highest standards for reliability and compliance. Essential Duties: Technical Leadership & Validation: • Lead the planning, design, and execution of validation campaigns across simulation, SIL, HIL, and on-vehicle environments, with a focus on perception, planning, and control systems., • Serve as the technical lead for scenario-based testing, utilizing platforms like Applied Intuition or equivalents for synthetic and re-simulation use cases., • Lead AV capability campaigns, employing AB Dynamics equipment for system-level validation and performance benchmarking., • Own the creation and execution of test plans for complex mechatronic and software systems, including drive-by-wire (DBW), braking, steering, and system integrations. Test Infrastructure & Analysis: • Develop and maintain robust test infrastructure using Python, Shell, and automation frameworks, ensuring modular, reusable, and scalable test architecture., • Conduct detailed analysis of logs and system behavior, supporting root-cause investigations across AV software and hardware components. Quality Assurance & Compliance: • Participate in and lead QA review cycles, helping to define entry/exit criteria, regression coverage, and release readiness gates., • Ensure traceability and compliance by documenting procedures, results, and outcomes using Jira, GitLab, and Confluence., • Contribute to compliance with safety-critical standards such as ISO26262, ISO21448 (SOTIF), and ISO9001. Collaboration & Mentorship: • Represent the Test Engineering function in cross-functional planning meetings, collaborating closely with perception, planning, controls, and safety teams., • Mentor and support junior Test Engineers, providing technical guidance and fostering a culture of continuous learning and improvement. Strategic Adaptation & Support: • Continuously adapt and optimize test strategies in response to evolving product requirements, architectural shifts, and real-world findings., • Support after-hours testing or incident triage as needed by fleet or field operations., • Travel domestically on occasion to support on-site testing or operational deployments., • Perform additional duties as assigned. Required Qualifications: • Bachelor's degree or higher in Engineering, Robotics, ECE, Computer Science, or a related technical field., • 5+ years of experience in software QA or system testing, including AV, ADAS, robotics, or safety-critical systems., • Demonstrated expertise in test strategy, test case development, test execution, and automation for complex mechatronic or autonomous systems., • Experience leading end-to-end testing across software stacks and physical systems, including SIL, HIL, and real-world deployments., • Strong analytical skills with proficiency in debugging, log parsing, and root cause analysis., • Excellent verbal and written communication skills, with the ability to drive cross-functional alignment and effectively report technical findings., • Proven ability to lead technical efforts, mentor junior engineers, and operate with minimal oversight., • High level of initiative, ownership, and accountability in a fast-paced, startup-style engineering environment., • Flexible schedule and willingness to support late meetings, night shifts, or urgent test activities as required. Preferred: • Master’s degree in a relevant field., • Deep familiarity with CAN-based tools (CANalyzer, CANoe) for fault injection, bus analysis, and subsystem verification., • Working knowledge of industry standards for safety-critical systems such as ISO26262, ISO21448 (SOTIF), and ISO9001., • Familiarity with AV safety case development or safety validation workflows., • Experience with robotic middleware (e.g., ROS), cloud telemetry systems, or AV data pipelines., • Experience in a cross-site or global engineering organization. Physical Demands: While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds. Working Environment: The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the team member is regularly exposed to outside weather conditions, road conditions, and pedestrian traffic. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and airborne particles. The noise level in the environment is low to moderate. Motional AD LLC is an Equal Employment Opportunity employer, and we welcome all qualified applicants. All applicants will receive impartial consideration regarding race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation, or another legally protected status. Motional AD LLC is a Drug-free workplace. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$125,000—$167,000 USD The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$125,000—$167,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on , , and _. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit _. We are looking for a Senior Software Engineer to join the Localization team and take ownership of our calibration systems — from robustifying and stabilizing the existing offline calibration stack, through adapting it for new sensors and environments, to building online calibration validation for continuous autonomous operations at major airports. Beyond calibration, you will contribute to the broader localization, mapping, and sensor integration efforts as the team scales. You will work under the supervision of a Staff Localization Engineer and collaborate closely with the Perception, Planning, and Infrastructure teams. You Will Own the calibration stack end-to-end — improve reliability of existing offline calibrations, close coverage gaps across the sensor suite (LiDAR, IMU, GNSS, cameras, radar), and ensure every calibration is repeatable, traceable, and has clear pass/fail criteria Design and build an online calibration validation system that monitors cross-sensor consistency during live missions, detects drift, and integrates with the vehicle's safety architecture Contribute to the localization and mapping pipeline — sensor integration, performance tuning, regression testing, and deployment to new operating environments Develop tooling for calibration health logging, diagnostics, and post-mission analysis Deploy, test, and iterate using data from real autonomous operations at active airports You Have 5+ years of experience in robotics or autonomous vehicles with hands-on work in sensor calibration, localization, or state estimation Strong practical knowledge of multi-sensor calibration - intrinsic, extrinsic, and temporal - across LiDARs, IMUs, GNSS, and cameras Proven experience with non-linear optimization frameworks (Ceres, GTSAM, g2o) or filtering approaches (EKF, UKF) Strong C++ skills (C++17+) and working experience with Linux and ROS/ROS2 Understanding of how calibration quality propagates through localization and perception BS or MS in Computer Science, Robotics,Electrical/Mechanical Engineering, or related field We Prefer MS or PhD with a focus on calibration, localization, or state estimation Experience building online/runtime calibration monitoring for deployed autonomous systems Experience with factor graphs, graph-based SLAM, or open-source tools like Kalibr, LIO-SAM, GLIM, Ceres, GTSAM Track record of deploying calibration or localization systems on real hardware in production environments Experience defining safety-relevant thresholds and working with safety monitoring architectures Familiarity with OpenCV, PCL, or Open3D

Location: Need to be able to work EST timezone. Remote | Full-time Compensation: $175K - $250K We are hiring on behalf of our client who is developing a cutting-edge autonomous agent runtime focused on high-frequency financial environments. While current agents operate effectively as independent units, the next phase of evolution involves building a sophisticated intelligence layer where the entire fleet learns autonomously from real-time market outcomes. The Staff AI Engineer will be responsible for moving beyond manual propagation of insights to a system where the fleet gets smarter with every trade. This is a high-stakes production role, not a research position. The feedback loop is immediate and measurable: the work produced either enhances agent profitability or it does not. The successful candidate will own the intelligence layer that turns thousands of daily trading decisions into compounding, autonomous growth. Key Responsibilities: Learning & Optimization • Feedback Loop Implementation: Design and implement systems that connect trade outcomes back to strategy improvement, specifically focusing on signal selection, risk parameters, position sizing, and timing., • Evaluation Frameworks: Build frameworks to quantify which signals and market conditions accurately predict profitable trades versus noise., • Automated Strategy Generation: Develop systems to explore new configurations, backtest them against real fleet data, and surface candidates for deployment autonomously., • Market Adaptation: Build mechanisms to detect shifts in market conditions (e.g., trending vs. choppy) and adapt fleet behavior in real-time. Autonomous Fleet Intelligence • Fleet Monitoring: Create higher-order agents for automated monitoring to catch configuration errors and performance degradation across all concurrent agents., • Performance Attribution: Decompose trades into component drivers—signal accuracy, execution efficiency, and exit timing—to feed insights back into strategy design., • Coordination & Risk: Manage concentration risk and capital allocation across the fleet, balancing the exploration of new approaches with the exploitation of proven strategies. Model & Inference • Infrastructure Ownership: Transition from external LLM dependence to controlled intelligence, evaluating hosting strategies ranging from proxied external models to fine-tuned, domain-specific models., • Data Capture: Build the telemetry and data capture layer to ensure every decision and outcome is structured and queryable., • Domain-Specific Training: Determine the efficacy of domain-specific training over general-purpose prompting and build the necessary pipelines for implementation., • Inference Optimization: Optimize inference for many concurrent agents, ensuring structured decision outputs and cost-efficiency at scale. Essential Qualifications • Production ML Engineering: Proven experience training, deploying, and maintaining models that run in production and directly impact business outcomes., • Reinforcement/Online Learning: Deep understanding of the practical challenges of learning from real-world outcomes rather than static datasets., • Closed-Loop Systems: A track record of building systems where predictions lead to actions that generate outcomes, which then feed back into improved predictions., • Software Engineering: Proficiency in Python is required, with additional comfort in Go or TypeScript for production services. Experience building data pipelines and distributed systems is essential. Preferred Experience • Financial ML: Background in signal generation, alpha research, portfolio optimization, or execution., • LLM Specialization: Experience with fine-tuning and serving (PEFT/LoRA, vLLM, TGI) or custom inference pipelines., • Multi-Agent Systems: Experience designing environments where autonomous agents coordinate or learn from one another., • Domain Knowledge: Background in on-chain data, DeFi protocols, or sectors where agents make sequential decisions under uncertainty (e.g., robotics, game AI)., • Base Salary: $175,000 – $250,000 USD (dependent on location and experience)., • Equity: Approximately 1% initial stock grant, with significant valuation growth potential., • Performance Incentives: Eligibility for salary increases and bonuses tied directly to revenue and usage., • Token Participation: Pro-rata participation in the client’s planned 2026 token launch., • Ownership: High-impact role with meaningful upside tied directly to the success of the autonomous fleet. Interview Process: • Initial Interview: Discussion with the Founder/CEO., • Technical Assessment: A take-home test to evaluate practical application., • Technical Interview: Deep dive into engineering and ML capabilities., • Final Interview: Comprehensive final review. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. What You’ll Be Doing As a Senior Software Engineer on the Delivery Platform team, you will design and build highly scalable and robust systems that power our Delivery and Fleet Management platforms. You’ll spend most of your time coding, designing, and reviewing Elixir code, contributing to mission-critical infrastructure that supports our growing fleet of delivery robots. You’ll collaborate closely with other engineers and stakeholders to ensure that our systems meet the demands of scale and innovation in the logistics domain. Responsibilities Architect & Develop: Design, implement, and maintain distributed systems in Elixir, focusing on scalability, fault tolerance, and performance. Platform Contributions: Work on the Delivery and Fleet Management platforms, supporting uptime, reliability, and evolving product needs. Scaling & Performance: Identify bottlenecks, devise solutions, and optimize systems to handle rapid increases in traffic and data volume. Cross-Functional Collaboration: Work with product managers, operations, and fellow engineers to align solutions with business and user needs. Engineering Rigor: Contribute to best practices in testing, CI/CD, and development workflows to ensure continuous improvement and delivery. Qualifications 5+ years of professional experience in software development Technical Experience: 2+ years of experience with Elixir or Erlang, ideally in building scalable, distributed systems. Solid understanding of concurrency, fault tolerance, and event-driven architectures. Familiarity with cloud services (AWS, GCP) and containerization (Docker, Kubernetes) is a plus. Team Collaboration: Experience working on cross-functional teams in agile environments. Clear communicator comfortable discussing both technical and product-related topics. Hands-On Engineering: Strong interest in crafting well-designed, production-grade systems and tools. A passion for backend development, systems thinking, and performance optimization. What Makes You Stand Out Deep Curiosity: You have a natural drive to understand complex systems and improve them. Ownership Mentality: You treat problems as opportunities and take initiative in solving them. Commitment to Quality: You value code clarity, testing, and building systems that are reliable and resilient. Team-Oriented: You enjoy working with others, learning from peers, and sharing what you know. Interest in Logistics: You're intrigued by delivery, robotics, and transportation, and excited by the challenges of real-world logistics platforms.

Meet the Team: As a Machine Learning Engineer II – Learned Behaviors, you will help develop and deploy behavior models that power decision-making for autonomous trucks. Working closely with teams across perception, prediction, planning, and safety, you will contribute to learned behavior modules that enable safe, efficient, and human-like driving in real-world freight operations. This role focuses on building, validating, and improving machine learning models and infrastructure that support learned behavior systems within the autonomy stack. What You’ll Do • Develop and train machine learning models for learned behavior systems, including approaches such as behavior cloning, imitation learning, and reinforcement learning., • Implement production-quality ML code to support model training, evaluation, and inference within the autonomy stack., • Analyze model performance, identify failure modes, and propose improvements to increase robustness and generalization across scenarios., • Contribute to model training pipelines and data workflows, curating behavior datasets from simulation, fleet logs, and on-vehicle data., • Collaborate with simulation, validation, and autonomy engineering teams to test and evaluate learned behavior models across diverse driving environments., • Help integrate learned behavior models into simulation and testing workflows, enabling faster iteration and more comprehensive validation., • Support the development of tooling and infrastructure that improves experimentation speed, reproducibility, and model iteration., • Contribute to technical discussions around model architecture and training strategies within the team. What You’ll Need to Succeed • Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of industry experience, or a Master’s degree with 2+ years of experience., • Experience applying machine learning techniques such as imitation learning, reinforcement learning, or sequence modeling to robotics, autonomous systems, or complex control environments., • Strong programming skills in Python and PyTorch, with experience writing production-quality ML code., • Experience training and evaluating machine learning models using large datasets and scalable compute environments., • Understanding of ML architectures used in autonomy systems, such as transformers, graph neural networks, or sequence models., • Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines., • Ability to collaborate with cross-functional teams to integrate ML models into larger software systems. Bonus Points! • Experience working in autonomous driving, robotics, or simulation-based training environments., • Experience with reinforcement learning frameworks or distributed training systems (e.g., Ray)., • Experience working with simulation environments or large-scale behavior datasets., • Familiarity with vehicle dynamics, motion planning, or multi-agent decision-making systems., • Experience deploying ML models into production or real-world robotics systems. Hiring Range for Job Opening US Pay Range $153,200 - $183,300 USD Job ID: 102515

About Standard Bots Standard Bot’s mission is to significantly lower the barrier to entry to real-world automation, bringing the power of bits to the world of atoms and unlocking productivity for entire new industries and users. Our user-facing applications and APIs directly empower individuals and developers to jump directly into solving their challenges without the need for a background in robotics or automation. A relentless focus on simplicity and ease of use brings this revolutionary potential to new users and industries. What you'll do: We’re looking for seasoned and skilled technical leaders to help architect the future of robotics through best in class, modern software engineering practices. As a Senior Software Engineer you will work with other engineers, organizational leaders, and users to advance the products which directly impact our users and unlock entirely new potential for them. This role is hybrid with 3 days/week onsite in our NYC office, centrally located near Grand Central Station. The office is fully equipped with robots for demos and testing! Responsibilities: Identify, scope, and drive high impact technical and user facing projects Advise leadership on technical decisions and strategy Mentor and advise other engineers as well as peers on technical and personal advancement Drive technical decision making and implementation through hands-on and technically deep work Tech Stack: Front-end: React, Typescript Back-end: Node.js, Python, C++ Kubernetes Docker Github Actions Who you are We do not require or favor any background in robotics We’re looking for engineers who are self driven, optimistic, creative, and resourceful. We have no requirements for a background in robotics, but find most success with engineers excited by the domain and looking to apply their expertise and experience in a new area. Our ideal candidate will be open to doing approximately 70% back-end and 30% front-end work with flexibility to sway more towards one or the other, depending on current projects and team needs. Skills you’ll bring: Experience: You have a strong technical background, including 5-10 years of experience working in complex environments Growth + Optimism: You are excited by new domains and challenges, and eager to pick up new context to accelerate your impact Clarity of Communication: You excel in written and verbal communication and enjoy leveraging your skills to support your peers Impact Driven: You relentlessly seek user impact and value execution over technical idealism Proactive Simplicity: You prioritize simplicity, reliability, and velocity and proactively identify opportunities to improve proposed implementations or incumbent systems Excelling in Ambitious Environments: You excel in dynamic and ambitious environments, working with a diverse group of individuals and backgrounds Compensation and Benefits: The salary range for this role is $180,000 to $250,000, depending on experience. Base salary is just one part of the overall compensation at Standard Bots. All Full-Time Employees are eligible for Employee Stock Options. We also offer a package of benefits including paid time off, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees.

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods — and eventually people — move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. As a Mission Systems Engineer at Reliable Robotics, you will be a part of the Systems team and will report to the Systems & Safety Manager. The Systems & Safety Team is responsible for architecting systems that support novel safety-critical functions, establishing development methodologies for new technologies, and complying with the federal regulations. As part of an experienced multi-disciplinary team, you will contribute to expanding the aircraft's mission and functional capabilities. Your first-hand pilot experience and your engineering experience in design and development will further strengthen the team's ability to meet rigorous expectations of stakeholders and certification authorities. You will collaborate with members from other groups within Reliable Robotics to develop new and novel systems necessary for unmanned aircraft operations. Responsibilities In your role as a Mission Systems Engineer you will contribute to the development of prototypes and certifiable safety-critical flight systems in a dynamic start-up work environment Define and document mission-related aspects of future aircraft operation using insight from a pilot’s perspective Define and communicate strategies and plans for type certification and operational approval Develop training and support documents needed to deploy autonomous systems in an operational environment Support system architecture development and assess trade-off studies regarding performance, complexity, risk, and effort Capture system requirements and interfaces to drive avionics hardware and software development Perform operational safety assessments in support of experimental and production missions Provide engineering expertise in the design, development, test and validation of vehicle level functions and performances You’ll also have the opportunity to interact with other domains within Reliable Robotics and become involved in a broad task spectrum not limited to typical system engineering activities Basic Success Criteria Bachelor’s Degree of Science or Engineering in Mechanical, Electrical, Aerospace, or related discipline FAA-Certificated Pilot (Commercial, or Airline Transport) or Dispatcher with two or more years of operational experience under 14 CFR § 135, 14 CFR § 121 or Corporate Flight Operations Broad experience from 7+ years of designing various systems, integrations, and testing of complex safety-critical aerospace systems or equivalent technology Preferred Criteria Advanced Degree of Science or Engineering in Mechanical, Electrical, Aerospace, or related discipline Creative problem solver that can bring multiple disciplines together with the ability to assess risk and make design and development decisions based first principles without all available data Experience certifying flight critical systems, hardware, and software via ARP4754A, ARP4761, DO-254, and DO-178C respectively This role is critical to us at Reliable Robotics, because it works to convert the real world challenges of piloting an aircraft into requirements for an aircraft system that flies itself. This role can be remote, or located at our facility in Mountain View, California. Must be willing to travel up to 10% of the time. This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant’s capacity to perform in compliance with U.S. export control laws. All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis. At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to work@reliable.co

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: _ The Localization team at Waabi is responsible for answering one of the most critical questions in autonomous driving: exactly where is the vehicle right now? As a Senior or Staff Software Engineer on the Localization team, you will be a domain expert architecting the highly precise, robust state estimation systems that keep our robotaxis and 80,000lb trucks safely on the road. You will design algorithms that seamlessly fuse data across a complex sensor suite to provide real-time, centimeter-accurate pose estimation, even in degraded or GPS-denied environments. You will collaborate with world-renowned engineers and scientists to merge traditional robotics state estimation with Waabi's AI-first approach. You will... • Act as a deep domain expert in state estimation, pushing the boundaries of what is possible in real-time vehicle localization., • Design, implement, and optimize robust algorithms for multi-sensor fusion leveraging IMU, LiDAR, Radar, Camera, GNSS, wheel encoders, etc., • Architect and develop mathematical models to be used in factor graph optimization, Kalman filters, etc., • Develop highly optimized, low-latency Rust code that runs directly on the vehicle's various compute devices in real-time., • Partner with the Perception and Mapping teams to tightly couple map data and semantic landmarks into the localization pipeline., • Build rigorous evaluation frameworks to measure localization accuracy, integrity, fault tolerance across millions of miles in Waabi World (our simulation platform) and on physical test tracks. Qualifications: • BS, MS, or PhD in Robotics, Computer Science, Aerospace/Electrical Engineering, or related field, with a minimum for 5 years of industry experience., • Deep, rigorous domain expertise in probabilistic robotics, state estimation, and 3D geometry (Gaussian estimation, filtering, smoothing, and mapping)., • Proven experience building and optimizing online and/or offline Simultaneous Localization and Mapping (SLAM) systems, including deep knowledge of point-cloud registration algorithms (e.g. ICP)., • Extensive hands-on experience processing and fusing data from physical sensors (IMU, LiDAR, Radar, GNSS, etc.)., • Exceptional systems-level programming skills in modern C++ and/or Rust, with a strong understanding of memory management, concurrency, and real-time computing constraints., • Proficiency in python for data analysis, prototyping, and tooling., • Strong mathematical foundation in linear algebra, calculus, and probability theory., • A proven track record of deploying complex state estimation algorithms onto physical robots or autonomous vehicles operating in the real world. Bonus/nice to have: • Familiarity with industry-standard optimization libraries (e.g., GTSAM, Ceres Solver, g2o)., • Experience with "learned localization" - applying deep learning and AI/ML models to improve traditional state estimation and feature matching., • Experience with high-speed highway autonomous driving constraints.The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

About Stack: Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands. About the Role: The Dynamic World Perception team is responsible for real-time detection of road actors and properties. This includes developing occupancy networks and other perception algorithms to accurately identify and classify all dynamic elements within the driving environment. We're looking for a Staff or Senior Engineer to lead the development, maintenance, and enhancement of our long-range detection capabilities, ensuring the required safety and performance standards are met or exceeded. Responsibilities: • Lead initiatives in the team to deliver state-of-the-art closed-and open-world detection capabilities., • Contribute to expansion and fusion of existing detection models to support improving performance and extending performance at range., • Contribute to improvement of model frameworks, architecture, and data pipelines., • Develop robust software for onboard vehicle deployment, optimizing for real-time, resource-constrained, and safety-critical environments., • Drive highly cross-functional features and workstreams from problem statement to delivery., • Contribute to the technical direction of the team and broader perception org., • Align stakeholders with strong presentation and communication skills., • Lead challenging technical topics and build consensus. Qualifications: • Extensive experience architecting, training, and deploying deep learning models into real-world environments., • Track record of driving applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization., • Experience delivering detection, segmentation, and/or tracking solutions for real-time robotic applications. Prior experience in sensor fusion is highly desirable., • Strong experience in software engineering and machine learning algorithm design., • Fluency in Python., • Experience with C++. We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity. Check out our _ Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.

Build the data infrastructure for robots operating in the real world. Robotics is moving from research labs into production across factories, warehouses, vehicles, and field deployments. When robots fail, behave unexpectedly, or need to be improved, engineers rely on data to understand what actually happened. At Foxglove, we build the observability, visualization, and data infrastructure that makes that possible. Our tools are used by robotics and autonomous systems teams to ingest, store, query, replay, and analyze massive volumes of multimodal sensor data from live systems and from production fleets. We’re looking for a Senior Software Engineer who gets excited about solving complex product problems and pushing web technologies to the limit. At Foxglove, we’re building high-performance, deeply interactive tools for robotics and complex data visualization - far beyond typical frontend framework workflows. If you get excited about streaming massive datasets, pushing browser limits, and crafting workflows that surprise people with what’s actually possible in the frontend, this role might be for you. Architect and build high-performance, dynamic frontend applications that operate on large or real-time datasets Design and optimize complex UI workflows that feel snappy, even under heavy computational load Collaborate with product and design teams to create polished, intuitive user experiences for engineers and technical users Tackle performance bottlenecks across the stack: from JavaScript execution to data transfer and rendering pipelines Contribute to core build systems, framework architecture, and overall app reliability Explore creative solutions for non-traditional browser-based workflows (think: streaming data, GPU-backed rendering, large-scale interactivity) End-to-end ownership over features, working directly with our customers and community to understand requirements Expand your knowledge of the robotics and self-driving industries Work alongside an experienced team on a cutting edge product 4+ years experience in frontend or full stack engineering roles focused on complex product applications 1+ years experience working in Autonomous Vehicles (AV), or related Robotics companies Strong proficiency in Rust, JavaScript/TypeScript, along with modern frameworks like React Deep knowledge of frontend performance optimization, browser internals, and debugging tools Experience handling large datasets in the frontend—buffering, streaming, or visualizing complex information Familiarity with build tools (e.g., Vite, Webpack, esbuild) and optimizing development pipelines Experience working close to the metal: WebGL, WASM, or web workers is a plus Passion for building technical tools with engineers as the primary users Excellent written & verbal communication skills Deliver high‑quality work efficiently, often in a third of the time most think is possible Ability to self motivate and thrive in a fast-paced, small team environment Bonus points: Experience building Electron-based desktop applications Experience in 2D or 3D visualization C++ experience $300 monthly budget towards commuter benefits or building your personal workspace (remote only) Competitive equity grant in a Series B company Medical, Dental, Vision, and Term Life insurance coverage at 100% for employees and 75% for dependents 401(k) matching up to 4% 4 weeks vacation, plus holidays and winter break All expenses paid company off-sites 1-2× per year Impact: Own growth at a fast-growing, high-leverage moment for the company. Mission: Accelerate the development of the next generation of robotics and embodied AI. Team: Work with world-class engineers, designers, and researchers passionate about open-source and developer tools. Ownership: Drive initiatives end-to-end, with high autonomy and visibility.

TL;DR We're hiring a Leader for our AI / ML / Data Science team (US, California Bay Area or Houston preferred) to build and ship production-grade ML for industrial time-series and multimodal data. You'll spend most of your time hands-on (about 70%) delivering end-to-end solutions with customers, and the rest leading and scaling the data science team (about 30%). Position reports to the CTO and will have two direct reports. The Role We're hiring a Leader for our Data Science (DS) team to deliver production-grade ML for industrial systems using time-series and multimodal data (sensor/SCADA/historian, events, maintenance logs, and images/video where relevant). This is a hands-on role where you'll spend most of your time building and shipping (roughly 70% IC), while also leading and growing the team (roughly 30% people leadership). You'll work closely with customers and domain SMEs, ship models to production,and evolve our concept from “models” to an autonomous decisioning system: forecasting → detection/diagnosis → optimization → closed-loop actions (with safety + governance). A key part of the role is advancing our unique IP in closed-loop autonomous operations. What You’ll Do • Own the end-to-end lifecycle: problem framing → data readiness → modeling → deployment → monitoring → iteration., • Define and execute roadmap areas like anomaly/event detection, asset/process health, root-cause support, optimization, and closed-loop decision support., • Build scalable foundations for baselines, drift detection, model observability, and incident response., • Partner with industrial customers and SMEs to translate real process constraints into ML/optimization/decisioning solutions.Drive unsupervised/self-supervised initiatives (representations, clustering, change-point detection, weak supervision, active learning)., • Develop a practical Reinforcement Learning (RL)/decisioning strategy (offline/safe RL, constrained optimization, simulators/digital twins), with guarded rollout patterns., • Lead and mentor DS talent, set processes, frameworks and quality standards (design/code reviews, documentation, postmortems)., • Build and deploy AI / ML solutions / models in production.Own deployment, monitoring, performance validation, and iteration of models in production, • Identify, document, and progress patentable innovations tied to closed-loop autonomy and production deployment. Qualifications • 8+ years in applied AI / ML technologies, including 2+ years leading teams (hiring, mentorship, performance management)., • Deep experience with time-series ML at scale, ideally with messy industrial data [Ex: Frequency-domain time-series techniques (FFT/spectral analysis) and control/optimization methods (MPC-like approaches)]., • Proven track record of shipping and operating AI / ML solutions in production (MLOps, monitoring, drift, retraining, reliability)., • Strong Python and engineering fundamentals (clean code, testing, production patterns)., • Strong communication, comfortable working directly with customers and cross-functional teams. Bonus Points • Offline/safe RL, constrained optimization, and/or simulators/digital twins., • Self-supervised learning or foundation-model approaches for industrial time-series and multimodal fusion., • Robotics and / or Industrial domain experience (manufacturing, energy, chemicals, mining, utilities), including safety/uptime/latency/edge constraints., • Closed-loop or human-in-the-loop decision systems with governance and guardrails., • Experience contributing to IP strategy, invention disclosures, and patent filings. Out of scope • Owning core product UI/UX design or front-end development., • Acting as the sole data engineer for ingestion/ETL across all customers (you'll partner closely with Engineering/Data Engineering where applicable)., • Running IT/OT infrastructure, sensor hardware selection, or plant networking., • Doing research with no production path, success is measured in deployed outcomes and customer impact., • Being a full-time program manager, you will lead execution, but Delivery/CS/PM functions help run the overall program cadence. What success looks like (first 6–12 months) • Customer impact: Delivered measurable improvements tied to customer KPIs (reduced unplanned downtime, improved yield, increased energy efficiency, lower maintenance cost)., • Product impact: Delivered repeatable, documented DS approach, reusable feature/representation layers, evaluation harnesses, and monitoring dashboards., • Model quality: Improved anomaly precision/recall while reducing false positives, clear reduction in alert fatigue and better operator trust., • Time-to-production: Faster iteration cycles from prototype to deployed, monitored models, predictable delivery and fewer "one-off" solutions., • Production reliability: Strong monitoring, drift detection, and incident response practices in place, with clear ownership and runbooks., • Decisioning roadmap: A concrete, milestone-based plan for unsupervised/self-supervised and RL decisioning (simulation readiness, offline evaluation, gated rollout, safety/governance)., • Team health: A high-performing DS team with clear standards, strong mentorship, and a hiring pipeline to scale responsibly. About Kelvin Kelvin.ai is paving a new path toward the future of industrial control applications. Our next-generation autonomous operations platform delivered as SaaS codifies the best engineering knowledge with the power of artificial intelligence. By combining human intelligence and machine learning, Kelvin delivers results across four pillars of customer value: Production Efficiency, Operational Efficiency and People Efficiency. Equal Opportunity Employer Kelvin is deeply committed to building a diverse and inclusive team. We believe that different backgrounds and life experiences make our team better. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit _. We are looking for a seasoned Staff Cloud Software Engineer to join our team and take ownership of our cloud infrastructure, security posture, and developer tooling. In this role, you will architect, deploy, and operate scalable, fault-tolerant systems on AWS while driving engineering excellence across the organization. You will partner closely with engineering, security, and operations teams to build robust CI/CD pipelines, manage cloud costs, and mentor the next generation of engineers. This is a staff individual contributor or technical lead manager role with broad scope, high visibility, and the opportunity to shape how we build and run software at scale with high availability and safety critical impact. You Will: Design, build, and operate fault-tolerant production systems on AWS, leveraging services such as ECS, ECR, and EC2 to deliver reliable, scalable applications. Architect and manage cloud infrastructure using Terraform, enforcing infrastructure-as-code best practices and enabling repeatable, auditable deployments. Administer and maintain Google Workspace environments, including user provisioning, access control, and security configurations. Own IAM strategy and user access management across AWS accounts, ensuring least-privilege access and compliance with security policies. Build and maintain CI/CD pipelines using GitHub Actions and related build and test frameworks, enabling fast, safe, and automated software delivery. Enforce and continuously improve IT security practices across user accounts, networking, and data and service access controls. Manage virtualization technologies, PaaS, and SaaS environments within AWS, ensuring availability, performance, and cost efficiency. Design and maintain systems with fault tolerance and high availability as first-class requirements, using best practices for production resilience. Work with big data technologies such as DynamoDB to support data storage, retrieval, and processing needs at scale. Mentor junior and mid-level engineers through code reviews, architectural guidance, and knowledge sharing; actively support engineering growth across the team. Field and resolve infrastructure and platform support requests, providing timely and effective responses to engineering and operational needs. Write automation and tooling in Python and Bash to streamline operations and improve developer productivity. You Have: Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field. 7+ years of experience building infrastructure and tooling for large-scale cloud operations. Extensive hands-on experience with AWS development and administration, including ECS, ECR, and EC2. Deep expertise in AWS IAM and user access management, including roles, policies, permission boundaries, and cross-account access patterns. Proven experience with Google Workspace administration, including user lifecycle management, security settings, and integrations. Strong proficiency with Terraform for infrastructure-as-code, including module design, state management, and remote backends. Significant experience building and maintaining CI/CD pipelines using GitHub Actions and a variety of build, test, and deployment frameworks. Demonstrated IT security experience spanning user account management, network security, and data and service access governance. Experience managing virtualization technologies and related PaaS and SaaS solutions in AWS production environments. A track record of designing and operating fault-tolerant, highly available systems in production at scale. Experience with big data technologies such as DynamoDB, including data modeling, access patterns, and operational management. Experience mentoring engineers and fielding platform or infrastructure support requests in a collaborative team environment. Strong programming skills in Python and Bash for scripting, automation, and operational tooling. We Prefer: Experience with additional AWS services including Lambda, Batch, SageMaker, and VPC design and management. Experience with CloudFormation for automated provisioning. Experience working with Autonomy or Robotics infrastructure. Hands-on experience with ROS/ROS2 and robotic software deployment pipelines. Proficiency in C++ development for performance-critical systems or systems programming contexts. Experience working with AI in development support and project execution. Engineering management or team lead experience, with a history of guiding technical direction and supporting team growth. Familiarity with cloud cost optimization strategies. Experience with cloud visualization, analytics, metrics, and dashboarding tools for operational visibility and observability. Proficiency with Agile development methodologies and KPI-driven engineering practices. Hands-on experience with Kubernetes, Docker, and Jenkins for container orchestration and legacy CI/CD workflows.

Job DescriptionTitle: Mechanical Design Engineer – Remote Handling & Reactor Servicing Location: Full-Time Remote (Contiguous U.S.) Hire Type: Direct Hire Shift/Hours: Monday–Friday, standard business hours Base Salary: $110,000 – $150,000 (DOE) Benefits: Medical, Dental, Vision; PTO; 401(k); Paid Holidays; Career Growth Opportunities About the OpportunityAn advanced nuclear technology organization is seeking a Mechanical Design Engineer to support the design and development of remote handling systems, reactor servicing tools, and automated inspection equipment used during reactor refueling operations.This role focuses on mechanical handling systems, robotics/automation integration, and tooling design within a highly regulated nuclear environment. The ideal candidate will bring strong mechanical design experience, cross-functional collaboration skills, and a commitment to nuclear safety and quality standards. Job Duties• Design and develop reactor servicing tools, remote handling equipment, and inspection systems. • Prepare and review engineering calculations, drawings, specifications, and technical documentation., • Collaborate with component design, civil/structural, systems engineering, and operations teams to ensure interface and performance requirements are met., • Develop integrated handling plans and work sequences for refueling operations., • Support procurement, fabrication oversight, vendor coordination, and equipment testing activities., • Ensure compliance with nuclear quality standards (10 CFR 50 Appendix B, 10 CFR 21, NQA-1)., • Provide innovative solutions to complex mechanical design and automation challenges., • Manage technical scope, schedules, and engineering deliverables. Qualifications• B.S. in Mechanical, Electrical, or Nuclear Engineering (ABET preferred). • 5+ years of professional engineering experience in mechanical system design., • Experience designing mechanical handling equipment, tooling systems, or automated machinery., • Experience preparing and reviewing engineering calculations and design documentation., • Nuclear industry experience strongly preferred., • PE license preferred., • Must be eligible to work under DOE 10 CFR Part 810. Qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin.

Job Description Position Summary We are seeking a Mechanical Design Engineer with strong Creo experience to support the structural and enclosure design of server systems. This role focuses on sheet metal chassis development, detailed part design, and electronics component integration. The position works closely with the server lead and does not require ownership of airflow or thermal architecture. Responsibilities: Design and develop sheet metal enclosures and structural chassis components for server systems using Creo. • Create detailed 3D models, 2D drawings, and complete assembly documentation including BOMs., • Perform mechanical integration of electronic components such as CPUs, GPUs, motherboards, power supplies, storage devices, and adapters., • Define part interfaces, mounting strategies, tolerance stack-up, and assembly sequences., • Support prototype builds, design verification, and engineering change implementation., • Perform tolerance analysis and ensure proper fit and alignment of structural components. Collaborate closely with the Server Lead to execute structural design improvements and product updates Ensure designs comply with DFM principles and manufacturing requirements Coordinate with suppliers and vendors for prototype fabrication, tooling feedback, and part qualification Participate in design reviews and contribute to continuous improvement of enclosure and structural design standards Support production ramp-up and resolve mechanical issues during pilot and early production phases Requirements: • Bachelor’s Degree or higher in engineering fields related to mechanical disciplines (Mechanical, Aerospace, Mechatronics, Robotics, etc.)., • Experience designing sheet metal enclosures using Creo., • Ability to work effectively in a team environment, sharing pertinent information, providing analysis, and recommendations in support of team efforts., • Bilingual in English and Mandarin is a plus., • 3–6 years of mechanical design experience preferred. Powered by JazzHR YZpZ4CA92U

Job DescriptionSalary: $90,000 - $140,000 Are you passionate about shaping the future of humanity's presence in space? Lunar Outpost, a trailblazer in space robotics and planetary mobility, invites you to join our team! Lunar Outpost is dedicated to creating a sustainable presence in space, while also driving a positive impact here on Earth. We are seeking a Systems Engineer Human Factors to help us make the future of lunar surface mobility in a fast-paced startup environment. As a Systems Engineer Human Factors, you focus on the design and evaluation of human spaceflight systems and the enhancement of the safety, efficiency, and effectiveness of astronaut operations. You will be focused on the Lunar Terrain Vehicle (LTV), the cutting-edge crewed and autonomous mobility platform that will drive NASA astronauts, carry payloads, and build key infrastructure on the lunar surface. The ideal candidate will work closely with cross-functional teams to develop and assess systems that optimize human performance in spaceflight environments. Key Responsibilities: • Apply human factors requirements to spacecraft development and track requirements to completion, • Provide human systems expertise to the design and development of spacecraft vehicles, • Conduct Human-in-the-Loop (HITL) testing by developing test plans, conducting data collection and analysis, and demonstrating effective program management, • Analyze test data, generate test reports, and incorporate feedback with vehicle design, crew training, and mission operations teams, • Conduct specialized analyses, such as hazard analysis, human error analysis, crew task analysis, and vehicle handling qualities, to ensure synchronization of crew needs and capabilities with vehicle performance, • Support development and verification planning/testing Required Qualifications: • Bachelors degree in human factors engineering or a related field, • Experience in human factors engineering, preferably in aerospace or related industries, • Familiarity with human-in-the-loop testing methodologies, • Team-oriented, with excellent verbal and written communication skills, • Excellent organization and time management skills and attention to detail, • Ability to multitask and prioritize tasks effectively, • U.S. Persons Preferred Qualifications: • Advanced degree in human factors or related discipline, • Experience working with NASA, • Knowledge of spacecraft systems and operations, • Proficiency in statistical analysis and human performance modeling tools Any offer of employment for this position is conditional upon Lunar Outpost receiving the LTVS Phase II contract from NASA. If the contract is not awarded to Lunar Outpost, this offer will be considered null and void, without further obligation to Lunar Outpost. Lunar Outpost is an equal opportunity employer. We do not discriminate against protected characteristics (gender, age, sexual orientation, race, nationality, ethnicity, religion, disability, veteran status.) We want all employees (including executives and HR) to treat others with respect and professionalism.