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Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: As a Senior Systems Integration Engineer, you will lead the design and integration of complex aircraft systems from concept through production. You will own subsystem-level integration activities, including installation design, equipment packaging, routing, interface definition, and manufacturing support, while ensuring compatibility across structures, avionics, propulsion, and other aircraft systems. You will serve as the technical lead for integration work statements, coordinating with multidisciplinary engineering teams to resolve integration challenges, drive design decisions, and deliver robust, manufacturable solutions that meet program objectives. The ideal candidate is an experienced mechanical engineer who combines strong aircraft design fundamentals with systems-level thinking. They have demonstrated success leading subsystem integration efforts, proactively identifying technical risks, mentoring junior engineers, and collaborating effectively across engineering disciplines to deliver integrated aircraft solutions. What You'll Do • Lead the mechanical integration of complete aircraft subsystems from concept through production, ensuring compatibility across structural, electrical, avionics, propulsion, and manufacturing interfaces., • Develop installation architecture for complex aircraft systems, including subsystem packaging, equipment mounting, and routing of electrical and fluid systems., • Lead the design of complex machined, composite, fabricated, and sheet metal assemblies requiring advanced engineering judgment., • Develop and review installation drawings, assembly documentation, and configuration baselines to ensure design consistency and production readiness., • Perform advanced tolerance analyses, structural hand calculations, and engineering trade studies supporting design decisions., • Coordinate subsystem integration activities during prototype builds, aircraft assembly, and production., • Mentor junior engineers in CAD modeling, GD&T application, installation design, and engineering best practices., • Coordinate suppliers and internal stakeholders to resolve technical issues affecting integration, manufacturability, schedule, or cost., • Support technical planning, schedule development, and project execution for assigned work packages."Required Qualifications, • Bachelor's or Master's degree in Mechanical Engineering or related discipline., • 5+ years of experience in aircraft, aerospace, defense, robotics, or complex electromechanical system development., • Demonstrated experience designing machined, fabricated, composite, and sheet metal components from concept through production release., • Demonstrated experience leading mechanical integration of aircraft subsystems or complex assemblies., • Advanced CAD proficiency with NX, SolidWorks, CATIA, Creo, or equivalent., • Experience managing engineering data, product structures, Bills of Material (BOMs), and drawing releases using PLM systems such as Teamcenter, Windchill, or 3DEXPERIENCE., • Working knowledge of aircraft installation practices, subsystem packaging, interface management, equipment mounting, and maintainability considerations., • Experience developing installation layouts and routing solutions for EWIS, hydraulic, fuel, pneumatic, ECS, or similar mechanical systems., • Experience developing part drawings, assembly drawings, and installation drawings., • Working knowledge of EWIS, hydraulic, fuel, pneumatic, or ECS routing design., • Strong knowledge of GD&T, ASME Y14.5, tolerance stack-up, and drawing release processes., • Experience supporting manufacturing, prototype builds, production issue resolution, or MRB activity., • Ability to coordinate across Manufacturing, Stress, Systems, Avionics, Supply Chain, and Test teams."Preferred Qualifications, • Aircraft integration experience on UAV, military, commercial, eVTOL, or autonomous aircraft programs., • Experience performing structural hand calculations, margin assessments, or preliminary stress analysis., • Experience with FEA including static, modal, vibration, fatigue, or thermal analysis., • Hands-on experience supporting build, production, testing, or hardware validation activities., • Experience managing technical scope, schedule, risk, or supplier coordination for subsystem work packages., • Familiarity with aircraft-level requirements, interface control, and configuration management." #LI-AD6 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI develops intelligent autonomous systems that protect service members and civilians. The X-BAT Engineering team is building a next-generation autonomous aircraft for demanding and contested environments. We are seeking an RF and Microwave Hardware Design Engineer to design and deliver compact, high-performance RF modules for airborne and ground systems. You will design and mature active and passive RF circuits, PCB assemblies, packaging interfaces, laboratory verification, and transition to production. The center of gravity of this position is hands-on module design rather than top-level communications architecture, waveform development, or link-budget ownership. This position may be filled at the Engineer II (L2) or Senior Engineer (L3) level. The selected level will reflect the candidate's demonstrated technical depth, independence, scope, and impact. What you'll do: • Design RF and microwave modules from requirements and architecture through schematic capture, component selection, layout, bring-up, verification, qualification, and production release, with scope and independence appropriate to level., • Design active and passive RF circuits such as low-noise amplifiers, power amplifiers, filters and multiplexers, RF switches, limiters, couplers, attenuators, power detectors, and frequency-conversion stages., • Develop RF front-end assemblies that meet gain, noise figure, output power, linearity, compression, efficiency, harmonic and spurious-emission, stability, isolation, and out-of-band rejection requirements., • Perform circuit and electromagnetic analysis using tools such as Keysight ADS, Cadence AWR, HFSS, or CST, and correlate models with measured hardware performance., • Create and review RF and mixed-signal PCB designs, including controlled-impedance routing, grounding, shielding, stack-up definition, power distribution, and placement of sensitive or high-power components., • Plan and execute laboratory characterization using network analyzers, spectrum analyzers, signal generators, noise-figure analyzers, power meters, oscilloscopes, and automated test equipment., • Diagnose difficult hardware issues involving instability, oscillation, intermodulation, self-interference, desense, thermal drift, mismatch, leakage, and electromagnetic coupling., • Work closely with mechanical, thermal, avionics, communications, antenna, manufacturing, and test engineers to integrate RF hardware into size-, weight-, power-, cooling-, and environmental constraints., • Develop verification methods, production test strategies, calibration approaches, and clear technical documentation that make designs repeatable and manufacturable., • Support environmental and electromagnetic qualification, supplier engagements, hardware integration, ground test, and flight test as needed., • Contribute to design reviews, share technical knowledge, and support the growth of interns and less-experienced engineers at a level appropriate to the position., • Perform other duties as assigned.Required qualifications:, • Bachelor's degree in Electrical Engineering, Applied Physics, or a related field, or equivalent practical experience., • Typically 1 or more years of relevant post-undergraduate experience for L2, or 2 or more years for L3. Applicable graduate study and research may count toward experience. Demonstrated capability and scope are more important than years alone., • Hands-on experience designing, building, or debugging an RF or microwave circuit, module, or PCB assembly through measured verification., • Solid understanding of S-parameters, impedance matching, transmission lines, stability, gain and noise figure, linearity and compression, nonlinear products, isolation, and cascaded RF performance., • Experience creating or reviewing RF PCB layouts with controlled impedance, grounding, shielding, component placement, and signal-integrity considerations., • Proficiency with common RF laboratory instruments and calibration methods, with the ability to distinguish hardware behavior from measurement artifacts., • Ability to use simulation and measured data to make sound design decisions, document tradeoffs, and close requirements with objective evidence., • Clear written and verbal communication skills and the ability to work effectively with cross-functional engineering and manufacturing teams., • Ability to work on-site in a laboratory and hardware-development environment.Preferred qualifications:, • Experience with RF front ends for airborne, defense, space, robotics, or other high-reliability systems., • Experience integrating GaN or GaAs power amplifiers, MMICs, LNAs, switches, limiters, frequency converters, or high-selectivity filter technologies., • Experience designing for simultaneous transmit and receive operation, high-power RF, intermodulation control, adjacent-band rejection, or co-site interference and desense., • Experience with Altium Designer and one or more RF or electromagnetic simulation environments such as ADS, AWR, HFSS, or CST., • Working knowledge of thermal design, RF packaging, connector and cable interfaces, tolerance analysis, and design for manufacturability and test., • Experience with EMI and EMC design and qualification for military or aerospace hardware., • Experience developing automated characterization or data-analysis tools in Python, MATLAB, or a similar environment., • Experience transitioning RF hardware from prototype through qualification and low-rate production., • Ability to obtain an S//SAR level security clearance, if required by the program. #LI-JW4 #LB Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Title: Mechanical Engineer This role will focus on designing, building, and improving mechanical solutions that support robot integration while partnering closely with cross-functional teams to drive projects from concept through implementation. The ideal candidate is a hands-on mechanical engineer with experience working in fast-paced product development environments. This individual will be comfortable balancing design work, vendor coordination, prototype builds, testing, and project execution while navigating ambiguity and shifting priorities. Experience with vehicles, robotics, automotive systems, or personal automotive/robotics projects is highly valued. Key Responsibilities • Create mechanical designs, detailed drawings, and production documentation using CAD software., • Develop and modify vehicle-integrated hardware solutions that support robotics systems deployed within delivery vans., • Work directly with vendors and suppliers to support fabrication, sourcing, manufacturing, and design improvements., • Coordinate prototype and production builds, including scheduling, logistics, and hardware readiness., • Collaborate with mechanical, electrical, manufacturing, and robotics teams to ensure successful system integration., • Support hardware testing, troubleshooting, and design validation activities., • Drive projects from concept through deployment, balancing technical requirements, cost, manufacturability, and schedule constraints., • Manage engineering change requests, drawing updates, and design revisions throughout the product lifecycle., • Partner with internal stakeholders to identify and resolve mechanical design challenges in a rapidly evolving environment., • Provide hands-on support during prototype assembly, integration activities, and field testing when needed., • Track project timelines and deliverables while helping coordinate cross-functional activities to ensure successful execution.Basic Qualifications, • Bachelor's degree in Mechanical Engineering or a related engineering discipline., • Experience creating 3D CAD models, engineering drawings, and design documentation., • Experience working with vendors, suppliers, and manufacturing partners., • Understanding of common manufacturing processes, including machining, fabrication, assembly, and prototyping., • Experience taking products or mechanical systems from concept through implementation., • Strong troubleshooting and problem-solving skills., • Ability to work independently and make decisions in environments with evolving requirements and limited direction.Preferred Qualifications, • Experience supporting vehicle, automotive, transportation, or robotics-related products., • Experience with mechanical system integration and hardware development., • Familiarity with prototype builds, testing, and production support activities., • Experience coordinating schedules, managing project tasks, and driving technical projects to completion., • Experience working in a fast-paced product development environment., • Hands-on experience with vehicles, robotics, fabrication, or personal engineering projects outside of work is a plus. Work Environment This role is onsite in Bellevue, WA, requiring attendance 5 days a week. You will be part of a collaborative team of designers and engineers. Job Type & Location This is a Contract position based out of Seattle, WA. Pay and Benefits The pay range for this position is $55.00 - $65.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. 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) Job Type & Location This is a Contract position based out of Seattle, WA. Application Deadline This position is anticipated to close on Oct 31, 2026. Workplace Type This is a fully onsite position in Seattle,WA. 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 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service. 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 Introduction Do you love solving real world test, manufacturing and logistics problems at scale through the application of automated and robotic solutions? Do you like to solve the most complex and large-scale manufacturing, assembly, test, and logistics challenges in the world today? Do you want to lead, impact, and influence the development of how the future of work is done through automation-based technologies? Would you like a career that gives you opportunities to help customers and users to unlock and enable new business models, build new services, provide new solutions, faster, and at lower cost? Are you an Automation Engineer or have a strong background in automated systems deployed in high volume manufacturing environments? Want to work with an amazing team that consistently has a high bar for top-notch creative, technical, and engineering services on innovative projects for mid-large-size companies? Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? If yes, you will fit right in here at Fresh Automation. Who We Are At Fresh Automation, we are hyper focused on solving real world problems in novel ways that our customers face. We are a team of automation, manufacturing, robotics, test, and product development engineers who are defining and creating how the future of work is done to help solve common problems at scale, where automation is the right answer. Through our creative, technically minded driven spirit, we are on a mission to become the premier manufacturing and logistics automation integration partner in the world. Fresh Automation practice is part of Fresh Consulting, which is a design-led, hardware and software development engineering company, offering end-to-end services to help companies innovate. We bring together amazing UX designers, sophisticated developers, digital strategists, and engineers to help companies create fresh experiences that connect humans, systems, and machines. We have been growing fast and need someone to help us continue to manage the delivery of high-quality work in a fast-paced environment. See more at freshconsulting.com What We Need In this role, you will combine your passion and enthusiasm for developing unique and novel automated solutions for our clients' manufacturing and test needs. You will work alongside Fresh customers and partners to build automated solutions, identify industry wide technical trends, help guide strategic technical decision making, and be a key influencer for the Fresh Automation team. In our Emerging Automation Practice, you will work closely with our Systems, Electrical, Mechanical, Robotics and Service Engineering teams to build automation solutions for Fortune 500 as well as small/medium manufacturing clients. As a member of the Automation team, you are responsible for maintaining context and working knowledge of technology used throughout the sector, developing novel solutions and translating those designs into reality. You are responsible for the developing and maintaining the interfaces between disconnected components and acting as the glue to pull together a solution. You will act as the technical domain expert across our solution space for our clients and our team members. You will also have the opportunity to demonstrate your industry wide thought leadership through the webinars, creation white papers, blogs, build demos and other reusable collateral that can be used by our customers. The ideal candidate will have extensive experience engineering and developing automated solutions for the high throughput manufacturing assembly, test, and logistics space. Excellent business and communication skills are a must to develop and define key business questions and to build data sets that answer open questions. You should be able to work well with clients to understand the business requirements and relevant solution paths that will enable customers to realize favorable returns on their automation investments. Responsibilities • Design and develop industrial control systems to support automation solutions for industrial applications including custom machines and robotics. Responsible for control system design in 3D, wiring diagram creation, panel build and installation, safety system design and implementation, program creation, development and implementation, and final system commissioning, development and testing to customer satisfaction., • Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Automation service offerings., • This is a customer facing role. You will be required to travel to client locations to deliver professional services when needed. Must be willing to travel to client project sites, for project meetings, equipment installation, commissioning, startup, debug, service, upgrading of systems. Demonstrate project leadership, high value and concise client communication and project ownership as part of a client project team., • Developing and maintaining Automation team best practices, mentoring and supervising automation engineers, identifying key areas of opportunities for continued learning and fostering a positive growth mindset attitude within the team., • Ensure that features and deliverables meet project milestones and exceed operational, cost, and quality requirements and goals., • Design software architecture, interfaces and implement functionality, modeling and simulating when possible, to demonstrate feasibility prior to implementation., • Collaborate with other engineering disciplines in planning design and development of systems to ensure software and hardware performance and compatibility. Required Qualifications • BS in Mechanical Engineering, Masters Preferred;, • Proficiency with SolidWorks and experience designing control panels in 3D;, • Prior experience creating electrical systems meeting UL508A and NFPA 79, including creating selecting components, creating wiring diagrams, creating 3D models, and managing panel development and field wiring;, • 4-8+ years’ experience in the design of manufacturing control systems for industrial factory automation;, • Experience developing PLC control solutions using SFC, Structured Text and Ladder Logic;, • Prior experience with the following:, • Multi-axis servo systems including motor sizing, drive system design, commissioning and troubleshooting;, • Industrial robots including Fanuc, ABB, Yaskawa or Epson;, • State machines;, • PLCs and field bus networks;, • Safety requirements for automation and industrial robotic systems;, • Pneumatic control system design and component selection;, • Machine vision for industrial applications, including lighting and image design., • Ability to support project work including scoping, cost estimating, proposal development, marketing, and business development efforts., • Strong oral and written communication skills, ability to demonstrate this in technical and collaborative client interactions. Equal employment opportunity: All qualified persons will be considered for employment without regard to race, color, religion, sex, national origin, age, marital status, familial status, gender identity, sexual orientation, disability for which a reasonable accommodation can be made, or any other status protected by law. Assistance will be gladly provided upon request for any applicant with sensory or non-sensory disabilities. *Fresh Consulting is an E-Verify participating company Powered by JazzHR HqNBuKoa6l

Job Description We are looking for a Senior/Staff Software Engineer to lead the development and scaling of our cloud services and APIs that handle ride hailing for Zoox’s production-grade robotaxi service. These services include dispatch, routing, payments, mobile APIs, telemetry processing, service metrics and more. In this role, you will: • Design and build scalable, efficient, and robust backend systems for Zoox’s ride-hailing service, • Own core functionality such as payments, fleet dispatch, service management, • Make significant contributions to technical roadmaps, development plans and execute on them effectively., • Uphold engineering excellence by demonstrating best practices in software development including design review, code review, software testing and documentation.Qualifications, • 8+ years of cloud software experience, • Experience running and optimizing production-grade systems for maximum efficiency and resilience., • Extensive experience with the design, implementation and operation of backend microservices., • Proficiency with Kotlin or Java, REST APIs and SQL., • Experience running production services using cloud infrastructure such as Kubernetes and DockerBonus Qualifications, • Experience with Spring Boot based microservice architectures, PostgreSQL, Elasticsearch, • Experience in transportation, robotics, logistics, or autonomous vehicles., • Experience with event driven architecture and Kafka.Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are seeking a highly motivated Staff Advance Industrial Engineer to design, optimize, and scale world-class manufacturing systems for advanced aerospace products. In this role, you will lead factory and production system design, including facility layouts, material flow, line balancing, capacity planning, and production readiness. You will also play a critical role in planning and executing greenfield manufacturing facilities, developing factory concepts from the ground up, including production layouts, infrastructure requirements, equipment planning, material flow strategies, and manufacturing standards. Partnering with Manufacturing Engineering, Operations, Supply Chain, Facilities, Quality, EHS, and Program Management, you will develop efficient, scalable, and data-driven manufacturing solutions that enable rapid production growth. This is a high-impact role responsible for transforming manufacturing concepts into production-ready factories while driving safety, quality, throughput, and operational excellence. What you'll do: Lead factory layout development, production line design, and manufacturing system optimization for new and existing production programs. Support the planning and execution of greenfield manufacturing facilities, including factory master planning, space allocation, utility requirements, equipment placement, production flow, and long-term capacity planning. Develop manufacturing concepts from initial factory planning through production launch, ensuring scalability, flexibility, and operational efficiency. Design and optimize material flow, point-of-use storage, supermarkets, kitting strategies, replenishment systems, tugger routes, and warehouse logistics. Develop detailed 2D factory layouts and 3D manufacturing models, including equipment placement, utilities, workstations, safety zones, production support infrastructure, and future expansion plans. Perform capacity planning, line balancing, takt time analysis, labor planning, buffer sizing, and bottleneck analysis to achieve production targets. Conduct time studies, ergonomic assessments, spaghetti diagrams, and workflow analyses to improve productivity and eliminate waste. Develop manufacturing standards for material presentation, packaging, FIFO management, visual controls, workstation design, and factory operating standards. Lead cross-functional factory design reviews with Manufacturing Engineering, Production, Facilities, Supply Chain, Quality, EHS, and Program Management. Utilize discrete-event simulation tools to model production throughput, identify constraints, validate factory designs, and optimize manufacturing strategies before implementation. Support facility construction, equipment installation, tape-outs, utility coordination, commissioning, and production readiness activities during factory launches. Drive Lean Manufacturing initiatives including 5S, visual management, standardized work, continuous improvement, and value stream optimization. Develop and maintain factory design standards, launch playbooks, production system guidelines, and manufacturing best practices to support future factory expansions and replication. Tools & Skills AutoCAD, SolidWorks, Revit, Visio, or equivalent CAD/layout software Siemens Plant Simulation, FlexSim, AnyLogic, or equivalent discrete-event simulation software Time studies, MTM/MOST, work measurement, and labor analysis Capacity modeling, line balancing, takt planning, and production system design Lean Manufacturing, Six Sigma, Value Stream Mapping (VSM), 5S, Kanban, and Visual Management Material flow analysis, warehouse and logistics design Factory master planning and facility layout development Strong analytical, project management, and cross-functional leadership skills Required qualifications: Bachelor's degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, Systems Engineering, or a related technical discipline. 8+ years of experience in industrial engineering, factory design, manufacturing systems, production planning, advanced manufacturing engineering, or greenfield facility development. Experience designing factory layouts, production lines, and scalable manufacturing systems for complex products. Experience supporting greenfield manufacturing projects, facility expansions, or major production line launches. Strong understanding of manufacturing processes including machining, composites, electrical assemblies, precision mechanical assemblies, and final integration. Experience supporting production ramp-up, new product introduction (NPI), and manufacturing process development. Demonstrated ability to lead cross-functional projects in a fast-paced, high-growth manufacturing environment. Excellent analytical, communication, and problem-solving skills. Preferred qualifications: Aerospace, defense, automotive, or advanced manufacturing industry experience. Experience leading greenfield factory development, factory relocation, or major manufacturing expansion projects. Knowledge of AS9100, ISO 9001, or other regulated manufacturing environments. Experience with automated material handling systems, robotics, AGVs/AMRs, automated storage systems, or Industry 4.0 technologies. Lean Six Sigma Green Belt, Black Belt, or equivalent continuous improvement certification. Experience with Manufacturing Execution Systems (MES), ERP systems, digital factory technologies, and production simulation software. • Compensation for this role is based on the position’s work location. The salary range shown reflects the listed location and may vary if the position is based in a different geographic market. Actual compensation will also consider factors such as experience, skills, qualifications, and internal equity. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Role We are building the data foundation that powers the full machine learning lifecycle for autonomous robotics. Our robots generate large-scale, multimodal datasets across real-world deployments, and turning that raw experience into reliable, discoverable, high-quality ML data is a core part of improving our autonomy systems. As a Data Platform Engineer, you will help design and build the platform that manages data from ingestion through processing, validation, labeling, dataset generation, training, and evaluation. This is not a traditional analytics data engineering role. You will work closely with ML engineers, researchers, labeling teams, robotics engineers, and infrastructure engineers to build scalable systems for robotics and ML data. What You'll Do • Design and build scalable data architecture for large-scale multimodal robotics and ML datasets., • Build abstractions and services for ingestion, processing, datasets, metadata, lineage, and data quality., • Develop reliable pipelines for transforming raw robot data into versioned, ML-ready data products., • Define data models, schemas, contracts, and lifecycle states across data-processing workflows., • Build systems for tracking provenance and lineage across raw data, derived artifacts, labels, datasets, and downstream ML workloads., • Develop automated validation and data-quality frameworks that detect incomplete, corrupted, or unusable data early., • Design for incremental processing, reprocessing, backfills, and versioned transformations., • Improve observability and failure diagnosis across complex data workflows., • Partner with ML and robotics teams to understand domain-specific data requirements and turn recurring patterns into reusable platform capabilities., • Work closely with infrastructure/platform teams on storage, compute, orchestration, reliability, and scalability.What We're Looking For, • Strong experience building production data platforms or large-scale data-processing systems., • Strong software engineering skills, preferably Python and/or C++/Java/Go., • Experience with distributed data processing and workflow orchestration., • Experience with data lakes/lakehouses, object storage, metadata systems, schemas, and data versioning., • Strong understanding of data quality, lineage, reproducibility, and reliable pipeline design., • Experience with technologies such as S3, Airflow/Dagster, Spark/Ray, Kubernetes, Parquet, or similar systems., • Ability to work across ambiguous organizational and technical boundaries., • Strong systems-design and engineering judgment.Nice to Have, • Experience with ML datasets or ML infrastructure., • Robotics, autonomous vehicles, sensor, video, image, LiDAR, or other multimodal data., • Experience building internal developer/platform products., • Experience operating pipelines at TB/PB scale. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Simplifying the Complex. Simplexity is a product development engineering firm, hired by leading technology companies to design their next generation products. In an industry of overly-complex design and production, we strive for simplicity, reducing product cost and improving reliability for our clients through our Product Development Process. POSITION DESCRIPTION Simplexity is seeking a hands-on senior mechanical engineer to work embedded with our team at a Seattle-area client on a cutting-edge robotics product. You will own mechanical subsystems from requirements through working hardware, validation, and release-quality documentation. This is a technical individual contributor role, not a people-management position. You will lead subsystem decisions, coordinate interfaces, communicate risks, and personally perform design, analysis, drawing, prototype, and test work. The role is best suited to an engineer who can execute effectively when requirements and priorities are still evolving. JOB DUTIES • Convert system requirements into mechanical subsystem requirements, architecture, interfaces, and trade studies., • Size and select motors, gearboxes, encoders, bearings, and related drivetrain or transmission components., • Perform torque-speed, duty-cycle, inertia, efficiency, life, force, energy, structural, vibration, thermal, and tolerance analyses as appropriate to the design., • Design linkages, gear trains, belts, pulleys, cables, and other moving mechanisms, including kinematic and dynamic analysis., • Package sensors, wiring, PCBs, and related electronics within constrained mechanical envelopes, including practical thermal paths and serviceability considerations., • Create, manage, and release complex SolidWorks assemblies, configurations, BOMs, and ASME Y14.5 drawings through a PDM-controlled revision workflow., • Design custom and semi-custom parts for machining, sheet metal, injection molding, 3D printing, and other prototype or production processes., • Build and instrument prototypes, define tests, diagnose failures, perform root-cause analysis, and iterate rapidly to working hardware., • Perform structural finite element analysis, thermal simulation, or other relevant analyses., • Present design tradeoffs, technical risks, decisions, and project status directly to client stakeholders., • Coordinate mechanical interfaces with electrical, firmware, software, systems, suppliers, industrial design, and contract manufacturing partners. QUALIFICATIONS, • Bachelor’s or master’s degree in Robotics, Mechanical Engineering, or a related engineering discipline., • 6+ years of applicable product-development experience. Demonstrated subsystem ownership is more important than a specific tenure threshold., • Owned at least one robotics or complex electromechanical subsystem from requirements and architecture through detailed design, hardware implementation, validation testing, and design release., • Extensive hands-on experience in robotic actuation and mechanisms, including motor/transmission selection and kinematic or dynamic analysis., • Recent hands-on SolidWorks experience with complex assemblies, configurations, production drawings, and PDM-controlled revision workflows., • Strong GD&T (ASME Y14.5), tolerance analysis, DFM/DFA, and practical knowledge of low-volume and production manufacturing methods., • Hands-on prototype assembly, instrumentation, test, troubleshooting, and system-level root-cause analysis., • Experience integrating complex mechanical designs with electrical, firmware, software, and systems engineering disciplines., • Experience leading technical discussions with clients or demanding external stakeholders while remaining a hands-on individual contributor., • Ability to work on-site at the Seattle-area client site. PLUSES TO HAVE Experience in any of the following areas is a strong plus: • Experience moving robotic hardware through EVT/DVT or an equivalent product-development lifecycle., • Experience designing test fixtures, test instruments, or automated mechanical test equipment., • Experience using SolidWorks PDM to manage CAD files., • Experience developing custom actuator or drivetrain solutions with external vendors. COMPENSATION AND BENEFITS Two types of contractor roles will be considered: W-2 contractor (employee of Simplexity): • Hourly rate $70 - $95/hr, depending on experience, • Excellent Healthcare plan (Medical, Dental, and Vision) fully paid for by the company for the employee; partial payment for dependents, • 401(k) plan with company match after 1,000 hours of service, • Long-term and short-term disability, AD&D and Life Insurance, • 11 paid holidays, • 15 days of paid-time-off (PTO) accrued each year 1099 contractors (have your own registered consulting/contracting business): • Hourly rate $95 - $125/hr, depending on experience, • No benefits, holidays, or paid time off (PTO) included No recruiters please. Job location is in the Seattle, WA metro region at a Simplexity client site. Initial ~6 month contract with expectation of multi-year engagement. Simplexity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Diverse candidates are encouraged to apply. * Please be advised that Simplexity Product Development will never ask you to respond to a non-SimplexityPD domain such as a gmail, ymail, hotmail, etc. If you suspect that you have been contacted by someone impersonating Simplexity Product Development who is using a fraudulent email address, please do not reply. If you are not sure, please fill out a contact form at https://www.simplexitypd.com/contact/ to report the incident. * Powered by JazzHR YHfB5JGN43

Job Description Senior Robotics Software Engineer (Autonomy) About VTI Aerospace VTI Aerospace builds AI-powered perception and pilot assist technologies to unlock the future of aviation. With offices in Bozeman, MT and Seattle, WA, we are a team of engineers and technologists from Boeing, Airbus, Aurora, and beyond. We are passionate about pushing the boundaries of autonomy and aviation safety. Our company is dedicated to advancing the field of aviation with cutting-edge solutions The Role As a Senior Robotics Software Engineer (Autonomy), you will develop and deploy onboard autonomy capabilities that power our FlightStack system. Working on edge compute systems in non-network-connected environments, you will design and implement robotic functions that enable reliable perception, localization, path planning, and contextual understanding in real-world conditions. You will work closely with machine learning engineers and autonomy engineers to integrate perception models, sensor data, and control logic into robust robotics systems that operate reliably on embedded platforms. This role is ideal for someone who enjoys building real-world robotic systems that operate under real-world constraints, and wants to have a direct impact on the performance and reliability of autonomous aviation systems. What You'll Do • Design and develop robotics software for onboard autonomy using ROS2, Python, and C++, • Build and maintain systems supporting perception, localization, mapping, and path planning, • Integrate machine learning perception models into real-time robotics pipelines, • Develop software that fuses data from EO cameras, LiDAR, GPS, INS, and IMU sensors, • Design and implement contextual reasoning and autonomy behaviors for real-world operations, • Optimize robotics systems for edge compute environments and constrained hardware platforms, • Implement and improve algorithms for localization, state estimation, and environmental awareness, • Collaborate with ML engineers to integrate perception capabilities into production autonomy systems, • Work with autonomy engineers to design robust and modular robotics system architecture, • Test, debug, and improve robotic systems in real-world flight environments What We're Looking For • 5+ years of experience developing robotics or autonomous systems software, • Strong programming experience in C++ and Python, • Experience developing robotics systems using ROS2 or similar robotics middleware, • Experience building real-time or near real-time robotic software systems, • Experience integrating and processing sensor data such as cameras, LiDAR, GPS, and IMU, • Experience designing or implementing perception, localization, or path planning systems, • Strong debugging and system integration skills for complex robotics systems, • Ability to work closely with machine learning and autonomy engineers to deploy models into real-world systems, • Experience optimizing software for edge or embedded compute environments Bonus Points • Experience with SLAM, mapping, or state estimation systems, • Experience with sensor fusion across multiple sensing modalities, • Experience working with autonomous vehicles, UAVs, or robotics platforms, • Experience deploying machine learning inference on embedded or edge compute systems, • Experience optimizing robotics systems for constrained hardware environments, • Experience with real-world robotics testing and deployment Why You'll Love Working Here • Opportunity to work on meaningful problems in aviation and deliver products to industry at a rapid pace, • Small team with significant impact on company direction, • Collaborative and innovative environment, • Competitive compensation and benefits, • Opportunities for growth and leadership Location Work arrangement: On-site Primary location: Seattle or Bozeman Compensation & Benefits Salary range: DOE Benefits may include: • Health, dental, and vision insurance, • Retirement plan or 401(k), • Paid time off and holidays, • Professional development opportunities Equal Opportunity Statement VTI is proud to be an equal opportunity employer. We value diverse perspectives and encourage candidates from all backgrounds to apply

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Aircraft Simulation team is the nerve center of autonomy integration at Shield AI. We deploy the innovative tools, intelligent models, and streamlined processes that make it possible to evaluate complex autonomous flight algorithms at scale. Our tools are utilized in a broad range of simulation - from mission autonomy simulation to Hardware-in-the-loop, and every layer between. In an era of rapid advancement in Artificial Intelligence, our goal is simple: make AI fly - safely, reliably, and fast. As a Modeling & Simulation Engineer, you will be a pivotal force in engineering Shield AI’s foundational simulation platform for our next-generation VTOL aircraft. You’ll develop our emerging simulation engine and deploy advanced aircraft models in C++ across multiple engineering domains - ranging from mathematical physics to the latest in surrogate machine learning methods. You will also utilize your multiphysics and aeronautical systems knowledge to conduct system performance analysis against test and vendor data to ensure simulation results are valid in operational scenarios, and simulation platforms are both stable and fast. What you'll do: • Develop infrastructure and models in C++ for autonomous aircraft simulation., • Serve as a subject matter expert in modern aerospace and software engineering., • Architect deterministic, high-performance simulation software., • Lead verification and validation (V&V) analysis studies on models and model tooling., • Collaborate tightly across autonomy, embedded, GNC, and test engineering teams to ensure our simulation mirrors real aircraft behavior and mission scenarios., • Contribute to platform-agnostic simulation tooling to accelerate future development efforts., • Train and guide junior engineers in modeling and simulation best practices.Required qualifications:, • BS in Computer Science, Aerospace, Robotics, or related field., • 7+ years of experience in simulation software development with C++ competency; exceptional candidates with less experience and demonstrated depth will be considered., • Strong understanding of rigid-body dynamics, kinematics, and the physics of dynamic systems., • Proven experience developing or integrating simulation systems for robotics, aerospace, and/or other complex dynamic systems (e.g., maritime, space, defense ground systems, or gaming)., • Ability to debug complex build and runtime environments., • Experience with simulation verification and validation., • Strong communication skills across software, hardware, and systems disciplines., • Must be eligible to obtain a Secret Clearance; Secret clearance eligibility requires US Citizenship.Preferred qualifications:, • MS or PhD in Computer Science, Aerospace, Robotics, or related field., • Familiarity with modern C++ standards (C++20 or later)., • Grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management., • Experience with DevOps-integrated simulation workflows, including CI/CD and automated testing environments., • Experience with Hardware- and Software-in-the-Loop simulation environments, including integration of real hardware into simulation environments., • Experience with CMake, package management tools (e.g. Conan, Nix), and profiling tools., • Experience with software testing tools (GTest, etc.), • Working knowledge of Python for data analysis, test automation, or simulation orchestration., • Experience working on autonomous aircraft systems., • Active Secret or Top Secret Clearance is desired. #LI-AA1 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI is actively seeking candidates with deep expertise in manufacturing and quality methodologies, paired with a relentless drive to enable supplier success and strengthen mission-critical operations. Shield AI’s Supply Chain Quality team is responsible for global quality oversight across our supplier base. The team reduces supply-chain risk through supplier assessments and internal risk reviews, proactively drives supplier qualification and development activities. In this role, you will lead a supplier quality team responsible for supplier qualification, development, performance management, and quality assurance across Shield AI’s aerospace and defense supply base. You will set supplier-quality priorities; manage team capacity, technical execution, and resource allocation; and develop high-performing quality leaders. The role also oversees supplier audits, nonconformance resolution, root-cause investigations, and hands on hardware dispositions. You will evaluate supplier capability, quality performance, organizational risk, and resource needs to ensure purchased hardware and materials meet Shield AI engineering, customer, regulatory, and quality requirements. As an experienced aerospace quality leader, you will partner closely with Supply Chain, Engineering, Manufacturing, Operations, and Program teams to resolve complex supplier-quality issues, improve supplier capability, and reduce quality and delivery risk across the supply base. What you'll do: • Develop the supplier quality team responsible for supplier qualification, surveillance, performance management, and corrective-action activities across Shield AI’s global aerospace and defense supply base., • Establish supplier-quality priorities, allocate resources, and translate functional objectives into staffing, workload, and execution plans that support product, program, and organizational needs., • Develop Supplier Quality leaders and engineering personnel through coaching, performance management, succession planning, workforce development, and technical mentorship., • Oversee supplier qualification, risk assessments, periodic performance reviews, supplier audits, source inspections, and approved-supplier status across complex aerospace hardware, commodities, and manufacturing processes., • Ensure supplier requirements are effectively flowed down and that suppliers comply with applicable quality management system, engineering, customer, contractual, regulatory, and statutory requirements., • Escalate significant supplier-quality risks and direct SCARs, supplier recovery efforts, and capability-improvement plans that could affect product quality, delivery, mission readiness, or program execution., • Partner with Engineering, Manufacturing, Operations, Supply Chain, and Program teams to address supplier producibility, design-for-manufacturability, process capability, technical execution, and quality risks., • Advance supplier-quality processes, business systems, data analytics, and continuous-improvement practices that strengthen supplier capability, product quality, delivery performance, and supply-base resilience.Required qualifications:, • Bachelor’s degree in Engineering, Quality, Manufacturing, or another related technical discipline., • At least 7 years of relevant experience, including 2–5 years of leadership or people-management experience with direct responsibility for Quality Engineering and/or Supplier Quality Engineering personnel., • Strong working knowledge of AS9100 and/or ISO 9001 quality-management systems, as well as aerospace and defense supplier-quality requirements., • Demonstrated proficiency in root-cause analysis and structured problem-solving methods, including 8D, 5 Whys, and fishbone analysis., • Experience with supplier qualification, supplier development, PPAP, and First Article Inspection processes, including AS9102 requirements., • Understanding of ITAR, EAR, DFARS, and other requirements applicable to aerospace and defense suppliers., • Demonstrated people-leadership capability, including coaching, performance management, organizational development, and building high-performing technical teams., • Strong cross-functional collaboration, executive communication, and supplier relationship-management skills., • Proficiency with Microsoft Office applications, including Excel, PowerPoint, Word, and Outlook., • Experience using ERP/MRP systems., • Ability to travel to Shield AI manufacturing locations and supplier sites domestically and, as needed, internationally—up to approximately 20% of the time.Preferred qualifications:, • ASQ Certified Quality Engineer (CQE), Certified Quality Manager (CQM), or equivalent quality certification., • Six Sigma Green Belt or Black Belt certification., • Experience leading supplier-quality functions in a high-growth aerospace, defense, autonomy, robotics, or advanced-manufacturing environment., • Experience supporting the production and qualification of complex electromechanical, electronic, precision-machined, composite, or avionics hardware. #LI-BG1 #LE Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Crusoe is hiring an AI Engineer for our Developer Relations Engineering team: an engineer who builds agentic AI systems and enjoys showing other developers how they work. You will build reference agents, open-source integrations, and sample applications on Crusoe Cloud and Crusoe Managed Inference. In this role, you will lead technical content creation, community engagement, and developer outreach across AI infrastructure and managed services workloads. You will produce documentation, tutorials, white papers, sample applications, and video guides. You will partner with the Product, Engineering, Research, and GTM/Solutions Engineering teams and work across the open-source agent ecosystem. You will spend most of your time building and then sharing what you build. What You'll Be Working On: Agentic Reference Systems: Architect and ship end-to-end reference agents and starter kits on Crusoe that developers can use as a starting point for production, covering tool use, MCP, multi-agent orchestration, RAG, structured outputs, memory, and evals. Examples & Documentation: Own the code examples, tutorials, and documentation that help developers go from first API call to working agent, and keep them tested and up to date as the ecosystem changes. Open Source & GitHub: Own Crusoe's developer-facing GitHub presence, including examples, cookbooks, and integrations. Contribute upstream to agent frameworks, inference engines, and developer tooling (for example LangGraph, LlamaIndex, CrewAI, Pydantic AI, the OpenAI Agents SDK, MCP, vLLM, and SGLang) so they work well with Crusoe. Technical Content & Video: Turn the systems you build into content developers rely on: deep-dive blog posts, notebooks, YouTube videos, livestreams, and short technical clips. Building in Public: Share your work on X, LinkedIn, YouTube, Discord, Reddit, Hacker News, etc. Answer technical questions, review community projects, and become a trusted technical voice in the agent and open-source community. Use-Case Blueprints: Partner with GTM/Solutions Engineering to spot recurring customer patterns and turn them into open reference architectures for developer segments such as Physical AI, robotics, simulation, and other industry verticals. Product & Research Partnership: Join Product, Engineering, and Research workflows. Test features and models before launch, make sure samples and docs are ready on launch day, and bring developer friction back as concrete product input, following each issue until it is fixed or explicitly deprioritized. Talks & Workshops: Give technical talks, live demos, and hands-on labs at conferences, meetups, hackathons, and workshops. What You'll Bring to the Team: Engineering Experience: 5+ years as a software engineer, ML engineer, applied AI engineer, forward-deployed engineer, or in a similar hands-on engineering role, with strong Python. A Developer Relations title is not required. Engineering Credibility: Ability to earn credibility with both AI infrastructure engineers and ML/AI engineers. Agentic AI: Hands-on experience building LLM applications and agents with tool calling, MCP, retrieval, memory, and evaluation, using one or more frameworks such as LangGraph, LlamaIndex, CrewAI, Pydantic AI, or the OpenAI Agents SDK. You have well-formed opinions about what works and what breaks in production. Cloud Infrastructure: Experience working with cloud computing platforms (such as AWS, GCP, or Azure) or managed AI solutions, with a foundational understanding of cloud infrastructure concepts. Inference & Model Serving: Working knowledge of how models are served, including OpenAI-compatible APIs, open-weight models, and serving engines such as vLLM or SGLang. You can explain cost and latency tradeoffs credibly. Public Track Record: Evidence of sharing technical work in public through GitHub repos, open-source contributions, blog posts, videos, talks, or an active technical presence on social platforms. Please include links when you apply. Technical Communication: Strong communication skills across written and verbal formats, including technical documentation, white papers, video explainers, and presentation decks. Ownership & Collaboration: You work well across teams, set your own priorities, and ship in a fast-moving environment. Travel Requirement: Ability to travel up to 20%. Education: Bachelor's/Master's/PhD degree in Computer Science, or equivalent practical experience. Bonus Points Maintainer or significant contributor to an open-source AI, agent, or inference project Experience producing technical video content such as YouTube tutorials, livestreams, or screencasts Experience fine-tuning or post-training open-weight models (SFT/RL/LoRA) An existing technical audience that trusts your views on models, agents, and tooling Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $180,000-$220,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description We are Fresh. Together let’s build the future. With partners and clients, we practice strategy, design, development, and engineering to harness the power of technology and create what's next. Our cross-disciplinary approach blends human ingenuity and technology, empowering us to meet uncertainty with confidence. What got us to today won’t get us to tomorrow, so we test our assumptions and always strive for growth. From the products we build to the partners we collaborate with, we believe people make the difference. And we do so as a workforce representative of the communities we serve, understanding that a diverse workforce strengthens our organization. We value diversity and support a positive and welcoming environment where all of our employees can thrive. Why join Fresh? We are tech industry veterans in software, hardware, strategy, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems for people by leveraging robotics, machine learning, and computer vision, among other technologies, with an eye toward 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. Most of all, we were built from the start as a modern, high-performance services partner that puts people -- from our employees to our partners to our clients to their customers, first. Senior Electrical Engineer Fresh Consulting is a design-led, software development and hardware engineering company, offering end-to-end services to help companies innovate. We bring together UX designers, developers, digital strategists, and top-notch hardware engineers to help companies create fresh experiences that connect humans, systems, and machines. We’ve been growing fast and need someone to help us continue to manage the delivery of high-quality work in a fast-paced environment. Summary of Role: • We are currently seeking an innovative Senior Electrical Engineer with a passion for technology., • Focus would be on product development for embedded devices, connected consumer products, small to medium scale industrial devices, and test automation stations., • Our offices and lab are located in Bellevue, WA. Responsibilities: • Lead and collaborate with cross-disciplinary teams including Electrical Engineers, Mechanical Engineers, and Software Developers to create products and systems while meeting project schedule milestones., • Lead and collaborate with other engineers to troubleshoot and consult on prototype designs., • Develop hardware concepts, requirements, architectures, and perform detailed design; participate in hardware-firmware integration and system level testing., • Participate in project design reviews and provide peer review feedback., • Mentor team members including Electrical Engineers and Technicians. Requirements: • Minimum 10+ years of work experience in Electrical engineering., • Strong experience in rapid prototype hardware development and design iteration., • Strong experience with custom circuit board development including schematic capture and PCB layout. (Altium strongly preferred)., • Experience in leading small, multi-disciplinary teams (4-6 people)., • Experience developing system architecture and design implementations to satisfy client and regulatory requirements., • Solid understanding of analog and digital systems. Control and sensor systems is a plus., • Familiarity with firmware for embedded systems including bare metal and RTOS based solutions., • Ability to troubleshoot, diagnose, and resolve problems in electronic circuits., • Experience working with mechanical engineers to design products and systems., • Experience managing internal and external vendors and consultants., • Ability to quickly adapt to new technologies. Soft Skills: • Leadership, • Teamwork, • Flexibility/Multitasking, • Communication, • Problem-solving, • Self-starter Desired skills: • Experience writing/modifying firmware for embedded systems., • Familiarity with software architectures and implementations used for custom designs and COTS subsystems., • Experience with I2C, SPI, Ethernet, USB, and industrial communication busses., • Experience with COTS embedded computing components such as SBC and SOM modules., • Working knowledge of IoT strategies, standards, and protocols., • Experience with BLE and Wi-Fi technologies., • Experience with design verification, gage R&R testing methodology., • Experience developing test plans and strategies, including the generation of statistical analysis and reports., • Experience with product development programs requiring regulatory approvals, e.g. FCC, UL, CE, ISO. Education: BSEE or higher. Our Team Members: • Work on engineering and research assignments with companies ranging in size from startups to Fortune 500 clients., • Help solve problems using many technologies focusing on R&D, product development, and manufacturing., • Closely work with our clients - we believe that long term investments are extremely important to maintain the culture we together have created. What We Offer We're big believers in empowering our team to do their best work by offering: • High integrity, values-driven Executive Leadership Team, • Competitive salary and comprehensive benefits plan, • HSA/HRA options for medical plans, • Employee insurance premiums paid by Fresh, • Competitive time-off plans, • Wellness program, • 401k with partial matching, • Training and development programs, • Daily catered lunch, • Partnerships with interesting and engaging clients who align with our values, • Fun and collaborative work environment with focus on growth For Washington-based roles, the base salary hiring range for this position is $130,000 to $150,000. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Equal employment opportunity: All qualified persons will be considered for employment without regard to race, color, religion, sex, national origin, age, marital status, familial status, gender identity, sexual orientation, disability for which a reasonable accommodation can be made, or any other status protected by law. Assistance will be gladly provided upon request for any applicant with sensory or non-sensory disabilities. *Fresh Consulting is a participating E-Verify company. See Fresh in action Powered by JazzHR L2WS0ed27M

Job DescriptionHadrian - Manufacturing the Future Hadrian is building autonomous factories to reindustrialize America. By combining AI, advanced software, robotics, and full-stack manufacturing, we help aerospace and defense companies build rockets, satellites, aircraft, ships, and other mission-critical systems up to 10x faster and at significantly lower cost. Following our $1.37B Series D at a $7.87B valuation, Hadrian is rapidly expanding our manufacturing footprint, launching new capabilities across welding, casting, forging, electronics, additive manufacturing, and more, while scaling our Factory-as-a-Service platform to transform how critical products are built. Backed by leading investors including JPMorgan Chase, Valor Equity Partners, Andreessen Horowitz, Founders Fund, 137 Ventures, Lux Capital, T. Rowe Price, and Morgan Stanley, we’re building the future of American manufacturing—and looking for exceptional people to help make it happen. If you’re ready to take on the most challenging and rewarding work of your career while helping create American manufacturing jobs for generations to come, you’re exactly who we’re looking for. The Role Hadrian's API Platform is how the outside world connects to our manufacturing systems. Every partner integration, every internal service, and every factory floor system that touches that platform depends on one thing being right: identity. Who is allowed in, what they can do, and how credentials are managed across a complex, multi-cloud, physically distributed environment. As Staff Software Engineer, Identity and Access Management, you will build the security foundation that the API Platform is built on. You will own authentication, authorization, and credential automation across cloud infrastructure, Kubernetes workloads, and factory floor systems — and you will work in close partnership with the API Platform PM to ensure that IAM capabilities are surfaced as first-class developer experiences, not bolted-on compliance requirements. This is not a supporting role. IAM is a product pillar here. You will own the technical layer end to end, set the direction for how it scales, and help define what secure-by-default looks like across everything Hadrian builds. What You'll Do Design and implement scalable authentication and authorization systems covering both human operators and machine identities across cloud and factory floor environments — serving as the security foundation for the API Platform Own Hadrian's authentication stack: SSO, MFA, OIDC/SAML integrations, and service-to-service auth across AWS, GCP, and future cloud environments Build fine-grained access control systems (RBAC/ABAC/ReBAC) that scale across internal engineering teams, factory systems, and external API partners Develop frameworks, APIs, and CLI tools that automate credential provisioning, rotation, and policy enforcement for both internal teams and external API consumers Build identity and access models for machine-to-machine communication across factory floor systems, Kubernetes workloads, and cloud services Partner with Security to ensure IAM systems meet compliance and audit requirements; troubleshoot complex identity and access issues across distributed systems Work with the API Platform PM to define how IAM capabilities are surfaced as developer-friendly product experiences — for internal engineers and external partners alike Build tooling, SDKs, and documentation that make it easy to integrate with IAM correctly and hard to do so incorrectly Set IAM standards across the engineering org and act as the domain expert on access-sensitive architecture decisions What We're Looking For 8–12+ years in software engineering, with 3+ years of focused experience in identity, authentication, or authorization systems at scale Deep, hands-on expertise in modern auth protocols: OAuth 2.0, OpenID Connect (OIDC), SAML, and SCIM Strong understanding of access control models — RBAC, ABAC, and ReBAC — and the ability to make sound architectural tradeoffs between them Experience designing IAM systems across multi-cloud environments (AWS, GCP, Azure) Security-first mindset: you understand threat modeling, risk assessment, and least-privilege principles, and you embed security throughout the SDLC Proficiency in Go, Python, or similar; track record of writing high-quality, maintainable code Ability to set technical direction independently, write clear design docs, and drive alignment across teams Comfort working alongside a PM counterpart — you can divide technical and product ownership clearly and collaborate effectively Bachelor's degree in Computer Science or related field, or equivalent experience What Will Set You Apart Experience building IAM systems that serve external developer ecosystems — not just internal users Experience building identity systems for non-human entities: service accounts, workload identity, machine certificates, Kubernetes service accounts Familiarity with policy-as-code frameworks (OPA, Casbin, or similar) Experience with zero-trust network architecture Hands-on experience with secrets management platforms (Vault or equivalent) at scale Prior experience in aerospace, defense, or manufacturing environments with ITAR or export control considerations Experience working alongside a PM on a developer-facing platform product Growth & Trajectory This is a founding role with a clear path upward. As Hadrian's API Platform scales and the IAM function grows in complexity — more factory locations, more partners, more systems — so does the scope of this role. The natural trajectory leads toward technical lead or architect of a broader Security and Identity platform org, with the potential to grow a team around you. Compensation For this role, the target salary range is $192,000-$273,500, plus offers equity. This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Benefits for Full-time Employees Medical, dental, vision, and life insurance plans for employees 401k Relocation support may be provided for certain situations, based on business need. Flexible vacation policy Equity ITAR Requirements To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen or national, lawful permanent resident, protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. Use of AI in hiring Hadrian uses AI-assisted tools in our recruiting and hiring processes to help our team work more efficiently. This may include tools that help organize and analyze recruiting data, as well as an AI-powered notetaker that can record and transcribe interviews and help coordinate feedback. These tools support our team and are not used to make hiring decisions. All candidate evaluations and hiring decisions are performed by humans. If an interview will be recorded, you will be notified in advance and may opt out at any time with no impact on your candidacy. Candidate data processed through these tools is subject to the same protections described in our Privacy Policy. Consideration of Criminal History Hadrian will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of all applicable laws. We do not ask about criminal history on our application, and we do not consider criminal history before making a conditional offer of employment. Hadrian Is An Equal Opportunity Employer Hadrian does not unlawfully discriminate on the basis of race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, marital status, mental status, physical disability or any other legally protected status. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions. Compensation Range: $192.5K - $273.5K

Job DescriptionRadar Reinvented. Echodyne offers the world's first compact solid-state true beam-steering radar for a wide range of industries and applications. Our high-performance radars work in all weather and are designed for autonomous vehicles, uncrewed aircraft & drones, and security of borders, critical infrastructure, and smart cities. The company combines the patented technology of metamaterials with powerful software to create a radar sensor with unprecedented performance at commercial price points. Echodyne offers its radars to companies working in Automotive, Transportation, Critical Infrastructure Protection, Border Security, Smart Cities, Uncrewed Aircraft Systems (UAS), and Airspace Management including Urban Air Mobility (UTM). Echodyne is seeking a Instructional Designer to join our fast-growing team. RESPONSIBILITIES • Conduct audience, needs, task, and performance analyses for radar hardware and software training., • Observe field deployments or customer training to understand the Solutions Engineer workflow firsthand., • Develop role-based curricula and learning paths for customers, including onboarding, product releases, and continuing education., • Translate complex technical concepts into clear, accurate, and approachable instruction., • Create asynchronous courses, interactive modules, product simulations, scenario-based exercises, assessments, labs, job aids, and field-reference materials., • Design training that connects software workflows with hands-on hardware activities, including installation, configuration, calibration, operation, maintenance, and troubleshooting., • Write measurable learning objectives and align content, practice activities, and assessments with those objectives., • Partner with engineers, product managers, Solutions Engineers, support teams, technical writers, and other subject-matter experts to gather and validate content., • Collaborate with the video content developer on scripts, storyboards, demonstrations, animations, and other instructional media., • Establish templates, standards, and repeatable development processes for the training program., • Manage course content through review, publication, version control, and product-lifecycle updates., • Evaluate learning effectiveness using learner feedback, assessment results, field-readiness indicators, and stakeholder input., • Recommend improvements based on performance data, product changes, customer needs, and lessons learned in the field., • Manage multiple projects and release-driven deadlines while maintaining technical accuracy and instructional quality.REQUIRED SKILLS / EXPERIENCE, • Bachelor's degree in instructional design, learning sciences, educational technology, engineering education, technical communication, or a related field—or equivalent practical experience., • Three or more years of experience designing professional or technical training., • Demonstrated experience developing asynchronous e-learning and performance-support materials., • Working knowledge of adult-learning principles and instructional design approaches such as ADDIE, SAM, backward design, and Bloom's Taxonomy., • Proficiency with an e-learning authoring platform such as Articulate 360, Adobe Captivate, or an equivalent tool., • Experience creating meaningful assessments, hands-on exercises, and scenario-based learning., • Experience working with engineers or other technical subject-matter experts., • Ability to understand unfamiliar technical systems and explain them accurately to different audiences., • Strong project-management skills and the ability to work independently in a product-driven environment.DESIRED SKILLS / EXPERIENCE (Looking for one or more as a complement to the core skills) • Experience developing training for integrated hardware and software products., • Background in radar, RF systems, sensors, electronics, telecommunications, aerospace, defense, robotics, industrial equipment, or another complex technical field., • Familiarity with networking, system integration, data visualization, command-line tools, APIs, or cloud-connected applications., • Experience designing hardware labs, software simulations, troubleshooting scenarios, or technical certification programs., • Experience with video-production or visual-design tools such as Camtasia, Adobe Creative Cloud, Figma, or similar platforms., • Familiarity with accessibility standards and inclusive learning design., • Experience supporting field engineers, Solutions Engineers, customer enablement, or technical support organizations., • A degree or professional certification in instructional design, learning and development, or a related discipline. Echodyne's technology is export controlled by the U.S. Government and we must evaluate an applicant's eligibility to handle export-controlled information or obtain required Government authorizations. Therefore, we will ask you as part of the application process to identify whether you are a U.S. Citizen or green card holder, or have asylum/refugee status in the U.S. WHAT WE OFFERThis is an exempt role. The expected annual salary range for this role is $91,500—$129,883 USD If your skills generally align but not perfectly, please apply anyway. There may be another role that's a great fit for you! We offer competitive compensation and benefits to our full-time, US-based employees, including: • RSU (Restricted Stock Units), • Generous Benefits:, • Fully-paid medical, dental, and vision insurance premiums for you, • Choice of PPO or HDHP/HSA, • Virtual Care – 98Point6, • Employee Assistance Program, • Mental Health coverage through Springhealth & Talkspace (Premera), • Travel Assistance Insurance, • Company Paid Life Insurance, • Company Paid Short & Long Term Disability, • Flexible PTO (exempt) / 15 days per year (non-exempt), • 401(k) match, • Pet Insurance, • Prepaid Legal Program, • Commuter Benefits, • Paid Company Holidays All qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or any other characteristic protected by law.

Job Description Position Overview: A leading manufacturing solutions provider is seeking a highly experienced CNC Applications Engineer with a strong background in part processing, Fanuc CNC controls, and CAM programming using Mastercam or Esprit. This role is crucial in supporting process development, machine optimization, and technical customer support for high-precision machining operations. Key Responsibilities: • Part Processing Development:, • Interpret part drawings and develop comprehensive machining strategies including tooling, workholding, and efficient operation sequencing., • CNC Programming & Optimization:, • Generate, modify, and refine CNC programs using G-code, M-code, and CAM-generated output, ensuring high accuracy and process efficiency., • Fanuc Controls Expertise:, • Troubleshoot, configure, and fine-tune programs and operations on Fanuc-controlled CNC equipment., • Technical Customer Support:, • Provide remote and on-site support to customers for troubleshooting, training, and process validation during installations and upgrades., • Machine Setup & Validation:, • Assist with machine setup, prove-outs, and first-article inspections to ensure part accuracy and adherence to specifications., • CAM Software Utilization:, • Create toolpaths and NC code using CAM software (preferably Mastercam or Esprit) for a variety of CNC machines including multi-axis., • Process Improvement:, • Identify and implement opportunities to reduce cycle times, enhance surface finishes, and extend tool life through process refinement., • Documentation:, • Maintain detailed and accurate documentation of machining processes, programs, and tooling setups. Required Qualifications: • 5–10 years of experience in CNC machining, part processing, and programming., • Strong working knowledge of Fanuc CNC controls and G/M code., • Proficiency in CAM software (preferably Mastercam or Esprit)., • Deep understanding of machining practices, tooling, speeds/feeds, and materials., • Ability to collaborate across teams and support customer-facing technical work., • Strong communication and documentation skills., • Able to train operators, programmers, or customers on processes and best practices. Preferred Qualifications: • Experience with multi-axis CNC machines and turning centers., • Exposure to automation and robotics in CNC manufacturing environments., • Degree or technical certification in Manufacturing Technology, CNC Programming, or Mechanical Engineering. Work Environment: • Combination of office-based engineering and hands-on work on the shop floor., • Occasional travel to customer sites for training, support, and machine setup. Benefits: • Competitive compensation and performance-based bonuses, • Medical, Dental, and Vision insurance, • Paid Time Off (PTO), • 401(k) with company match, • Support for continuing education and training, • Clear opportunities for career advancement in a fast-paced technical environment

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Our Summer Internship program is a wonderful opportunity for Fall and Spring graduates to immerse themselves in an innovative and mission driven culture. Our 10-week paid internship program will provide you with hands on mentorship, an opportunity to add real contribution to our company via your internship project, and a possible job offer at the end. You will have the chance to make lifelong friendships, expand your network, and learn all about what it's like to work in a high-growth, fast scaling tech unicorn. You'll take part in company sponsored events and enjoy exploring a new city. Read on below to learn more about this unique internship! About the Role Shield AI's Software Development Engineer Intern program spans engineers who design, build, and test the code that powers our autonomous systems — from user-facing applications and embedded flight software to machine learning models and the underlying systems platforms that tie it all together. Over 10–12 weeks, interns work alongside full-time engineers to analyze requirements, write and debug production-quality code, and ship a real feature or capability using our standard Agile development practices. Example Intern Projects Applications: Build a new feature or internal tool (web, mobile, or desktop) that streamlines a mission-planning or fleet-management workflow. Firmware/Embedded: Develop and debug embedded C/C++ code for a flight controller or sensor module, including bring-up and hardware-in-the-loop testing. Machine Learning: Train, evaluate, and integrate a perception or decision-making model (e.g., object detection, sensor fusion) into an autonomy pipeline. Systems Development: Extend a platform tool, API, or data pipeline that supports autonomy software, simulation, or cloud infrastructure. Required Qualifications Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field Proficiency in at least one modern programming language (e.g., C, C++, Python, Java, or JavaScript) Solid foundation in data structures, algorithms, and software design principles Experience writing, testing, and debugging code, whether through coursework, personal projects, or prior internships Familiarity with version control (e.g., Git) and collaborative development workflows Strong analytical and problem-solving skills, with the ability to break down ambiguous requirements into working code Effective written and verbal communication skills and the ability to work collaboratively in a team environment Preferred Qualifications Exposure to mobile or web application frameworks and full-stack development Hands-on experience with embedded systems, microcontrollers, real-time operating systems, or assembly-level debugging Coursework or projects involving machine learning, statistics, probability theory, or deep learning frameworks (e.g., PyTorch, TensorFlow) Experience with cloud platforms, databases, networking, or distributed systems Familiarity with Agile/Scrum development methodologies Prior internship, research, or club/competition experience in robotics, autonomy, or aerospace applications Interest in or exposure to the defense, aerospace, or autonomous systems industry $37- $97 an hour - Your salary will be determined by academic level. Pay is just one part of your total rewards package at Shield AI. You may also be eligible for a stipend to subsidize relocation costs. As an intern, you will receive the opportunity to attend presentations from company leaders, social and networking events, as well as mentorship from current Shield AI Engineers. Interns are also eligible for paid company holidays. #intern Shield AI is proud to offer competitive pay and a housing stipend for qualified hires. While our People Experience team provides resources and assistance, interns are responsible to find their own housing and travel to and from their office location. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About MISUMI Americas MISUMI Americas, a division of MISUMI Group, is a leading provider of standard, configurable, and custom manufacturing solutions. By integrating a vast catalog of components with a world-class digital manufacturing platform, MISUMI Americas empowers engineers and procurement teams to accelerate innovation across the entire product lifecycle. With operations in the San Francisco Bay Area and Chicago, the company serves as a vital partner for the most innovative companies in the Americas. Senior Software Engineer Location: Remote (West Coast USA) Company: MISUMI Americas PLEASE NOTE: Final-round interviews will be conducted in person in either Oakland, California, or Portland, Oregon. Build the Future of Manufacturing Manufacturing is a $13 trillion industry, and most of it is still held together by spreadsheets, phone calls, and fax machines. MISUMI Americas is rewriting that. We've been building a cloud-based, AI-powered digital manufacturing platform that takes companies from prototype to production faster than the industry thought possible. Our platform pairs intelligent software with a global network of vetted manufacturing partners, powering innovation across electric vehicles, robotics, and next-generation consumer products. We're scaling fast, and we're looking for engineers who'd rather untangle hard, real-world problems than push pixels on a toy app. You'll join the team that owns costing, pricing, lead time, and DFM (design for manufacturability) for our instant quoting platform. When a customer uploads a part, our systems decide what it costs, when it ships, and whether it can be made. Accuracy matters; our output directly drives revenue and customer trust. We build with AI agents as a core part of how we work. We're looking for strong engineers who use agents to plan, implement, and test faster, and who have the judgment to know when the output is wrong. What You'll Do As a Senior Backend Engineer, you'll help build and scale the systems running our global manufacturing ecosystem: • Design and develop highly available, scalable backend services in AWS, • Build and maintain event-driven, asynchronous systems using Node.js, • Create robust APIs (REST / GraphQL) powering customer-facing and internal tools, • Use AI coding agents to take features from design through implementation and testing, while owning the correctness of every change, • Write specs, tests, and repo context that make agent-driven development reliable in a large, established codebase, • Partner closely with product, frontend, and infrastructure teams to ship features that actually move the business, • Contribute to technical design discussions and drive best practices across the team, • Help shape how the team works with AI: sharing patterns, tooling, and lessons learned, • Debug production issues and improve system reliability, • Continuously improve code quality through testing, observability, and documentationWhat You Bring, • 5 + years of backend engineering experience, • Strong skills in Node.js, JavaScript/TypeScript, • Experience building systems on AWS (SQS, Lambda, EC2, RDS, etc.), • Solid understanding of distributed systems and event-driven architectures, • Experience designing and maintaining REST or GraphQL APIs, • Familiarity with SQL and NoSQL databases, • A commitment to writing unit and integration tests, • Knowledge of system design, caching, and security best practices (OWASP Top 10), • Hands-on experience shipping production code with AI coding agents (e.g., Claude Code, Cursor, Copilot agent mode), with clear examples of where you had to step in, correct, or override them, • Strong code review skills, applied just as rigorously to AI-generated changes, • Must be a U.S. citizen or lawful permanent resident (green card holder) Nice to have: • AWS certification, • Experience with high-scale or business-critical systems, • Experience with pricing, quoting, or other numerically sensitive business logic, • Experience building agent workflows, custom tools, or MCP integrations for your teamHow You Work, • You take ownership and ship clean, maintainable, production-ready code, • You treat AI as a force multiplier, not a substitute for understanding the system, • You communicate clearly and collaborate across teams, • You solve problems proactively, even outside your immediate scope, • You enjoy mentoring others and raising the bar for engineering excellence, • You stay curious and keep learning new technologies and patternsWhy MISUMI Americas?, • Work on real-world problems impacting global supply chains, • Join a fast-growing company at the intersection of AI, software, and manufacturing, • Collaborate with teams building products used by top hardware innovators, • Competitive compensation and benefits, • Flexible, West Coast-friendly work environment, • Minimal travel (0–10%)Ready to Build Something That Matters? If scaling systems, solving hard problems, and shaping the future of manufacturing sounds like your kind of work, we want to hear from you. Salary Range: $160,000 – $200,000 per year, depending on experience We're actively seeking teammates who: • Bring diverse perspectives and experience to our culture and company., • Excel at being part of a strong, empathetic team., • Thrive in an environment emphasizing respect, honesty, collaboration, and growth., • Have an 'always learning' mindset that celebrates learning, not just wins., • Help us continue to build a world-class organization that values the contributions of all of our teammates We encourage applications from members of underrepresented groups, including but not limited to women, members of the LGBTQ community, people of color, people with disabilities, and veterans.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI is on a mission to build the world’s best aircraft—and we’re looking for a Harness Design Engineer to help power that vision. In this high-impact, high-ownership role, you’ll be designing complex wire harnesses and cable assemblies that are the nervous system of X-BAT, our next-generation autonomous UAV platform. Your expertise in harness design won’t just support the mission—it will enable it. From concept to deployment, you’ll play a critical role in ensuring reliability, precision, and performance in the field, where failure is not an option. If you’re passionate about cutting-edge aerospace technology and want to build systems that make a real-world difference, this is your chance to make your mark—on the ground and in the skies. What you'll do: • Design wire harnesses and cable assemblies for X-BAT and supporting ground equipment, • Collaborate with electrical engineering to define connector selection, current/voltage requirements, shielding, and other design aspects, • Perform electrical, mechanical, and environmental analysis for harness reliability, • Prototype and test harnesses in dynamic, mission-critical environments, • Collaborate with avionics, systems, supply chain, and manufacturing teams for integration, • Lead technicians in building, testing, and debugging various parts of the EWIS systemRequired qualifications:, • Bachelor’s degree in Electrical, Mechanical, or Aerospace Engineering, • 0-2 years working with wire harness designs for automotive, aerospace, or robotics. Professional, personal, or club experience is acceptable, • 3D CAD modeling tool experience, such as NX or CATIA, • Knowledge of GD&T best practices, tolerance stack-ups, and IPC/WHMA-A-620 standards, • Experience with electrical schematics and connector selection, • Hands-on experience with harness fabrication or testing, • Ability to work independently in fast-paced, cross-functional teams, • A demonstrated record of working hard, being trustworthy, holding yourself to high standards, and being kind to others, • Ability to obtain a S//SAR level security clearance desired. #LI-JM2 #LA Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are seeking a motivated Associate Manufacturing Engineer to support the development, implementation, and continuous improvement of manufacturing processes for next-generation aerospace systems. In this role, you will partner with Design Engineering, Operations, Quality, and Supply Chain to transition products from design into production while supporting prototype builds, new product introduction (NPI), and production ramp-up. This position may support one or more aircraft systems, including airframe structures, electrical systems, propulsion, mechanical systems, avionics, final integration, or ground support equipment. The ideal candidate is a hands-on problem solver who enjoys working in a fast-paced manufacturing environment and contributing to the production of advanced aerospace products. What you'll do: Develop, implement, and optimize manufacturing processes for assigned products or aircraft systems. Design and improve assembly tools, fixtures, jigs, and manufacturing aids to support safe, repeatable, and efficient production. Create and maintain work instructions, manufacturing process documentation, standard operating procedures (SOPs), and process flows. Partner with Design Engineering to improve manufacturability, assembly efficiency, quality, and cost through Design for Manufacturing and Assembly (DFM/DFA). Support prototype builds, engineering builds, production readiness activities, and new product introductions. Troubleshoot manufacturing issues using root cause analysis and implement corrective and preventive actions (CAPA). Collaborate with Production, Quality, Supply Chain, and Industrial Engineering to improve safety, quality, throughput, and productivity. Support tooling validation, first article inspections, process qualification, and production validation activities. Utilize CAD software to develop tooling concepts, manufacturing layouts, and production support equipment. Participate in continuous improvement initiatives focused on reducing waste, improving quality, and increasing manufacturing efficiency. Ensure manufacturing processes comply with engineering requirements, quality standards, and company procedures. Required qualifications: Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Manufacturing Engineering, Industrial Engineering, or a related engineering discipline. 0–3 years of experience in manufacturing engineering, production engineering, process engineering, or a related field (internship and co-op experience considered). Understanding of manufacturing processes, assembly methods, and production operations. Familiarity with CAD software such as CATIA, Siemens NX, SolidWorks, Creo, or equivalent. Basic understanding of engineering drawings, GD&T, and manufacturing documentation. Strong analytical, troubleshooting, and problem-solving skills. Ability to work effectively in a fast-paced, collaborative manufacturing environment. Excellent communication and organizational skills. Preferred qualifications: Internship or professional experience in aerospace, defense, automotive, robotics, or advanced manufacturing. Experience supporting prototype builds, NPI, or production environments. Familiarity with machining, composites, electrical assemblies, mechanical assemblies, or final system integration. Knowledge of Lean Manufacturing, Six Sigma, or continuous improvement methodologies. Experience with ERP, MES, or PLM systems. Familiarity with AS9100 or other regulated manufacturing environments. *Compensation for this role is based on the position’s work location. The salary range shown reflects the listed location and may vary if the position is based in a different geographic market. Actual compensation will also consider factors such as experience, skills, qualifications, and internal equity. #LI-JM1 #LB Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Are you a curious and motivated engineer looking to help develop state-of-the-art autonomous aircraft? Are you eager to apply your engineering fundamentals to real hardware while learning from experienced teammates? Do you want to work alongside mission-driven and values-focused people? Shield AI may be the place for you. As a Mechanical Engineer on the Mechanisms team, you will contribute to the design, development, and integration of mechanical systems for Shield AI’s autonomous aircraft. Your work may include a focus on gearbox development and integration, including gears, shafts, bearings, housings, lubrication systems, and related interfaces. You will complete well-defined engineering tasks with guidance from experienced engineers and collaborate with internal and external partners to design, prototype, test, and release hardware. This role offers the opportunity to build practical experience across the product-development lifecycle while helping the team achieve its performance, schedule, and reliability goals. What you'll do: • Support the design and integration of mechanical mechanisms for autonomous aircraft, potentially including gearboxes and other power-transmission systems, • Create and update 3D CAD models, engineering drawings, bills of materials, and interface documentation, • Complete defined design tasks involving component sizing, material selection, tolerance analysis, and mechanical packaging, • Perform foundational structural, kinematic, and machine-design calculations with guidance from senior engineers, • Assist with preliminary finite element analysis and document assumptions, methods, and results, • Support the selection and integration of gears, bearings, shafts, splines, seals, fasteners, and lubrication components, • Help build, inspect, test, and iterate prototype hardware for functionality, performance, and reliability, • Support pre-production builds, aircraft integration, and ground and flight testing, • Investigate well-defined technical issues, document findings, and contribute to root-cause and corrective-action activities, • Collaborate with mechanical, propulsion, electrical, avionics, flight-controls, manufacturing, and test teams, • Follow established engineering, configuration-management, and product-release processes, • Develop plans for assigned tasks, communicate progress and risks, and incorporate feedback from teammatesRequired qualifications:, • 0-1 years of related experience with a bachelor’s degree in Mechanical Engineering, Aerospace Engineering, or a related technical field, or equivalent work experience, • Understanding of fundamental mechanical engineering principles, including statics, dynamics, mechanics of materials, materials science, and machine design, • Academic, internship, student-team, research, or project experience using 3D CAD software, • Ability to create or interpret basic engineering drawings, • Familiarity with dimensional tolerancing and GD&T fundamentals, • Ability to perform foundational engineering calculations and clearly document assumptions and results, • Hands-on interest in designing, building, integrating, or testing mechanical hardware, • Strong problem-solving, organization, documentation, and communication skills, • Ability to complete well-defined engineering tasks with guidance from peers and managers, • Ability to collaborate effectively, accept feedback, and work in a fast-paced environment with evolving priorities, • A demonstrated record of working hard, being trustworthy, holding yourself to high standards, and being kind to others, • Ability to obtain an S//SAR-level security clearance is desiredPreferred qualifications:, • Internship, student-team, research, or project experience involving aircraft, UAVs, robotics, automotive systems, or other mechanical products, • Coursework or project experience related to gearboxes, gearing, bearings, shafts, splines, seals, lubrication, or rotating machinery, • Familiarity with gear geometry, gear-train calculations, bearing selection, or mechanical power transmission, • Experience with NX or a similar production CAD platform, • Exposure to tolerance stack-ups, mechanical fits, and GD&T application, • Exposure to finite element analysis, including static, modal, buckling, or fatigue analysis, • Familiarity with MATLAB, Python, or other engineering analysis tools, • Hands-on machine-shop, mechanic, fabrication, assembly, or inspection experience through professional, academic, or hobby activities, • Exposure to FMEA, design of experiments, root-cause analysis, or reliability testing, • Familiarity with additive manufacturing, machining, casting, forging, or other mechanical manufacturing processes, • Exposure to RTCA DO-160, MIL-STD-810, structural testing, vibration testing, or mechanism testing, • Ability to thrive in startup, R&D, or defense-innovation environments San Diego, CA pay range: $81,000 - $120,000 Seattle, WA pay range: $98,000 - 140,000 #LI-MS1 #LA Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI is pioneering the development of AI-powered autonomous aircraft for national defense, pushing the boundaries of aerospace innovation. Our next-generation UAS is a high-endurance unmanned system designed for deployment in complex, contested environments. We are seeking a Mechanical Engineer I to support the design, development, and testing of flight hardware and mechanical test systems. In this entry-level role, you will work alongside experienced engineers to develop fixed and field-deployable solutions for hardware qualification, environmental testing, stress testing, and sustainment. You will gain hands-on experience in mechanical design, structural analysis, and aerospace test systems while collaborating with engineering, manufacturing, and flight operations teams. What you'll do: • Support the design, analysis, fabrication, and assembly of mechanical and structural systems., • Create and revise CAD models, engineering drawings, and manufacturing specifications., • Assist in designing structural and electromechanical test stands and fixtures for aeronautical components., • Participate in prototyping, testing, troubleshooting, and design validation., • Perform structural, thermal, and fatigue assessments with guidance from experienced engineers., • Develop test procedures, document results, and communicate findings., • Participate in design reviews and contribute ideas that improve reliability, manufacturability, and testability., • Support coordination with manufacturing teams and suppliers during fabrication and assembly., • Apply engineering fundamentals to hands-on technical problems in laboratory, shop, and field environments., • Perform other duties as assigned.Required qualifications:, • B.S. in Mechanical Engineering or a related STEM field., • 0–2 years of relevant experience; internships, co-ops, research, and substantial academic projects may count toward this requirement., • Foundational knowledge of mechanical engineering principles, physics, and mathematics., • Experience with CAD software such as SolidWorks, CATIA, NX, or similar., • Familiarity with engineering drawings, material selection, structural analysis, and common manufacturing processes., • Hands-on experience building, testing, or troubleshooting mechanical systems., • Ability to organize technical work, document results, and communicate effectively., • Ability to work in a fast-paced development environment with evolving priorities., • Record of working hard, being a trustworthy teammate, holding yourself to high standards, and being kind to others.Preferred qualifications:, • Internship, co-op, research, or project experience in aerospace, robotics, automotive, test engineering, or a related field., • Familiarity with finite element analysis, thermal analysis, or fatigue and lifecycle testing., • Experience designing or testing aerospace structures, test fixtures, or ground support equipment., • Experience using machine-shop tools or rapid-prototyping methods., • Exposure to instrumentation, sensors, data-acquisition systems, or electromechanical systems., • Familiarity with hydraulics, nondestructive evaluation or testing, or aerospace testing practices. #LI-JW4 #LA Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Location: Seattle, WA — In Office Compensation: $150,000–$225,000 base salary + equity Travel: Travel to customer sites as needed About the Opportunity Our client is seeking a Forward Deployed Engineer to join their fast-growing technology company building AI-powered software for complex manufacturing and procurement environments. This role combines software engineering with direct customer engagement. You will work closely with customers across industries such as aerospace, defense, space, energy, and robotics to deploy and integrate a sophisticated procurement platform into their existing technology environments. You will own technical deployments from implementation through go-live, working directly with customer stakeholders while also writing production code, building integrations, troubleshooting APIs and data flows, and partnering closely with product and engineering teams. This opportunity is ideal for an engineer who enjoys solving ambiguous real-world problems, working directly with customers, and seeing their technical work deployed into complex operational environments. What You'll Do • Own technical customer deployments from kickoff and discovery through data migration, configuration, integration, and go-live., • Build and support integrations between the platform and customer ERP, PLM, MES, and other enterprise systems., • Write production-quality code and develop technical solutions to customer-specific requirements., • Map and validate data flows across systems and troubleshoot synchronization, authentication, API, and payload issues., • Write SQL and GraphQL queries to validate migrations, investigate discrepancies, and develop operational analytics., • Configure and support workflows related to procurement, supplier onboarding, approvals, RFQs, and purchase-order lifecycles., • Work directly with customer stakeholders across procurement, engineering, finance, and IT., • Serve as a technical partner throughout the customer lifecycle, identifying and resolving blockers that could affect implementation or adoption., • Translate recurring customer needs into product and engineering requirements and contribute directly to product development where appropriate., • Help build repeatable deployment processes, technical documentation, implementation templates, and onboarding playbooks. Requirements What We're Looking For • 4+ years of relevant software engineering, forward deployed engineering, solutions engineering, customer engineering, or technical implementation experience., • Strong engineering foundation, ideally within Computer Science, Software Engineering, Mathematics, Physics, Data Science, or a related technical discipline., • Strong software development skills and demonstrated experience shipping production-quality code., • Experience with modern web application technologies. Experience with TypeScript, React, Next.js, GraphQL, and PostgreSQL is particularly relevant., • Working knowledge of APIs, including the ability to read API documentation, test endpoints using tools such as Postman, and troubleshoot authentication and payload issues., • Ability to work comfortably with complex and imperfect real-world data., • Strong communication skills and the ability to work directly with both technical teams and senior customer stakeholders., • Ability to independently own technical problems and customer outcomes from initial discovery through resolution., • Willingness to travel to customer sites as needed.Preferred Qualifications, • Strong SQL skills, including joins, aggregations, data validation, and troubleshooting queries., • Experience with GraphQL or demonstrated ability to quickly learn similar technologies., • Experience with manufacturing procurement processes such as MRP, sourcing, supplier quality, receiving, or three-way matching., • Hands-on experience implementing, configuring, or integrating ERP, PLM, or MES systems., • Experience building customer-facing integrations or solutions as a software engineer., • Experience developing reporting or analytics from operational data., • Background within aerospace, defense, space, energy, robotics, or other regulated manufacturing environments., • Previous experience in forward deployed engineering, solutions engineering, technical consulting, or deployment strategy. Additional Requirements This position works with ITAR-controlled and CUI data. Candidates must be a U.S. citizen, lawful permanent resident, or otherwise qualify as a “U.S. person” under applicable ITAR regulations. Benefits • Salary: $150-$225k salary + equity, • Medical/Vision/Dental sponsored at 70%, • Unlimited PTO, • 401k with matching, • Other misc benefits like OneMedical, Kindbody, TalkSpace, etc., • Opportunity to work with an elite team of entrepreneurs and engineers, • Opportunity to change the world by improving global supply chains

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. We are seeking an RF and Microwave Hardware Design Engineer to design and deliver compact, high-performance RF modules for airborne and ground systems. You will own active and passive RF circuits, PCB assemblies, packaging interfaces, laboratory verification, and transition to production. The center of gravity of this position is hands-on module design rather than top-level communications architecture, waveform development, or link-budget ownership. WHAT YOU’LL DO: • Own RF and microwave module designs from requirements and architecture through schematic capture, component selection, layout, bring-up, verification, qualification, and production release., • Design active and passive RF circuits such as low-noise amplifiers, power amplifiers, filters and multiplexers, RF switches, limiters, couplers, attenuators, power detectors, and frequency-conversion stages., • Develop RF front-end assemblies that meet gain, noise figure, output power, linearity, compression, efficiency, harmonic and spurious-emission, stability, isolation, and out-of-band rejection requirements., • Perform circuit and electromagnetic analysis using tools such as Keysight ADS, Cadence AWR, HFSS, or CST, and correlate models with measured hardware performance., • Create and review RF and mixed-signal PCB designs, including controlled-impedance routing, grounding, shielding, stack-up definition, power distribution, and placement of sensitive or high-power components., • Plan and execute laboratory characterization using network analyzers, spectrum analyzers, signal generators, noise-figure analyzers, power meters, oscilloscopes, and automated test equipment., • Diagnose difficult hardware issues involving instability, oscillation, intermodulation, self-interference, desense, thermal drift, mismatch, leakage, and electromagnetic coupling., • Work closely with mechanical, thermal, avionics, communications, antenna, manufacturing, and test engineers to integrate RF hardware into size-, weight-, power-, cooling-, and environmental constraints., • Develop verification methods, production test strategies, calibration approaches, and clear technical documentation that make designs repeatable and manufacturable., • Support environmental and electromagnetic qualification, supplier engagements, hardware integration, ground test, and flight test as needed., • Contribute to design reviews, share technical knowledge, and mentor other engineers at a level appropriate to the position., • Perform other duties as assigned. REQUIRED QUALIFICATIONS:, • Bachelor's degree in Electrical Engineering, Applied Physics, or a related field, or equivalent practical experience., • Hands-on experience owning an RF or microwave circuit, module, or PCB assembly through fabrication, bring-up, debugging, and measured verification., • Strong understanding of S-parameters, impedance matching, transmission lines, stability, gain and noise figure, linearity and compression, nonlinear products, isolation, and cascaded RF performance., • Experience creating or reviewing RF PCB layouts with controlled impedance, grounding, shielding, component placement, and signal-integrity considerations., • Proficiency with common RF laboratory instruments and calibration methods, with the ability to distinguish hardware behavior from measurement artifacts., • Ability to use simulation and measured data to make sound design decisions, document tradeoffs, and close requirements with objective evidence., • Clear written and verbal communication skills and the ability to work effectively with cross-functional engineering and manufacturing teams., • Ability to work on-site in a laboratory and hardware-development environment. PREFERRED QUALIFICATIONS:, • Experience with RF front ends for airborne, defense, space, robotics, or other high-reliability systems., • Experience integrating GaN or GaAs power amplifiers, MMICs, LNAs, switches, limiters, frequency converters, or high-selectivity filter technologies., • Experience designing for simultaneous transmit and receive operation, high-power RF, intermodulation control, adjacent-band rejection, or co-site interference and desense., • Experience with Altium Designer and one or more RF or electromagnetic simulation environments such as ADS, AWR, HFSS, or CST., • Working knowledge of thermal design, RF packaging, connector and cable interfaces, tolerance analysis, and design for manufacturability and test., • Experience with EMI and EMC design and qualification for military or aerospace hardware., • Experience developing automated characterization or data-analysis tools in Python, MATLAB, or a similar environment., • Experience transitioning RF hardware from prototype through qualification and low-rate production., • Ability to obtain a U.S. security clearance, including access at the S/SAR level, if required by the program. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Our Ride and Fleet Backend team is looking for a Software Engineer to build out the Fleet Dispatch System to efficiently dispatch missions to our robots. Zoox robots take missions like Rideshare Trips, Charging, Cleaning, Return to Depot, R&D missions, and Roaming missions. It is the backbone of our autonomous fleet management system and the brains behind connecting our riders and vehicle operators to our robots! In this role, you will: • Design and build a scalable, efficient, and robust robotaxis dispatch service., • Craft and refine algorithms for real-time dispatch optimization and route planning, leveraging operational research techniques., • Apply operational research methods such as linear programming, integer programming, stochastic processes, and queuing theory to solve complex dispatch problems., • Use operational research tools for data analysis, forecasting demand, and modeling transport networks to improve robotaxi service efficiency., • Integrate optimization algorithms into the robotaxi platform., • Build and use in-house or 3rd-party simulation models to test dispatch optimization algorithms’ effectiveness. Qualifications, • Bachelor’s/Master’s degree in Computer Science, Engineering, Mathematics, Operations Research, or related field., • Proven experience in algorithm development, with a strong emphasis on operational research methodologies., • Proficiency in programming languages Java or Kotlin, • Solid background in machine learning, AI, operational research, and data analysis., • Passion for learning new technologies, domains, and challenging the status quo., • Strong mathematics skills., • Exceptional problem-solving, analytical, and quantitative skills.Bonus Qualifications, • Experience with GIS and mapping software., • Experience in transportation, logistics, or autonomous vehicles., • Experience in building/using fleet simulation tools., • Ability to lead through ambiguity and work with diverse stakeholders., • Ability to Iterate quickly and efficiently on building end-to-end experiences., • Experience handling large data sets and scaling service horizontally to a large number of users., • Experience developing cloud services and an understanding of design for scalability, performance and reliability., • Knowledge about microservice design patterns and DB access., • Knowledge of engineering practices and patterns for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and live site operations.Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Zoox is looking for an experienced Staff Software Engineer to build, scale, and operate our custom High-Performance Computing infrastructure. As Zoox scales its autonomous vehicle development, our HPC platform must keep pace with rapidly growing compute, storage, and scheduling demands across the company. You will modernize our HPC platform—built on industry-leading technologies like Ray.io, SLURM, and Kubernetes—with a focus on reliability, scalability, and world-class developer velocity. These HPC services form the backbone of development workflows across all Zoox software teams, from data engineering to training our AI models in Perception, Planner, Prediction, to Simulation, and more. You will have a direct impact on the productivity and effectiveness of every engineering team at Zoox. The position comes with a high degree of independence and the opportunity to define Zoox's HPC platform strategy, both technically and organizationally. You will work closely with stakeholders in Autonomy and Software teams to understand their workload requirements and translate them into robust, scalable infrastructure. In this role, you will: Design and implement core services and abstractions for distributed compute infrastructure supporting hundreds of thousands of concurrent jobs Work with customer teams and other infrastructure teams to build a multiyear software engineering roadmap for the HPC platform Lead multi-quarter, cross team initiatives that drive org-wide improvements Create production-grade APIs, SDKs, and tools that make it easy for engineers across Zoox to run large-scale distributed workloads Design and improve job scheduling algorithms and auto-scaling policies to maximize reliability and resource availability Design multi-region orchestration strategies that optimize for data locality, reliability, and performance Identify and resolve systemic reliability and performance issues through profiling, analysis, and collaboration with workload owners across multiple teams Evaluate new technologies and paradigms that improve Zoox's computational and storage capabilities Develop capacity planning tools and forecasting models to support Zoox's growing compute needs Mentor junior engineers, guiding them through their career development Qualifications Experience designing and operating large-scale distributed systems in production Experience with Ray.io, particularly Ray Core and Ray Data (or equivalent technologies) Experience with Kubernetes, particularly for heterogeneous workloads Experience with cloud infrastructure on AWS or similar providers Track record of shipping and operating reliable, highly available scalable infrastructure Demonstrated ability to prioritize development work and build cross-functional consensus around technical tradeoffs Proficiency with Python Bonus Qualifications Exposure to machine learning workloads (training, inference, data generation) Experience with Kubernetes or SLURM at scale (>10k+ nodes) Experience with SLURM workload manager and advanced scheduling policies Background in algorithmic optimization or operations research Experience building developer tools and platforms used by large engineering organizations There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Title: Sr Mechanical Engineer Job Description We are seeking a hands-on Sr Mechanical Engineer to advance cutting-edge robotics hardware in a full-time, on-site role in Bellevue, WA. You will connect detailed simulation work with real-world engineering by using finite element analysis to guide design decisions, drive improvements from modeling through testing, and produce release-quality documentation. In this position, you will collaborate closely with stakeholders, suppliers, and manufacturing partners to optimize designs for manufacturability, cost, assembly, reliability, and overall performance. Responsibilities • Perform structural and thermal finite element analyses, translating modeling results into clear design recommendations, tradeoffs, and engineering decisions., • Provide design-for-X feedback, including design for manufacturing and design for assembly, to inform and improve mechanical designs., • Leverage prior experience working with motors and actuators to influence design choices and system performance., • Define test plans, execute tests, investigate hardware failures, identify root causes, and iterate rapidly toward robust, working hardware., • Present design tradeoffs, technical risks, engineering decisions, and project progress directly to stakeholders in a clear and professional manner., • Apply structured quality and problem-solving methods to improve manufacturing performance and reduce field issues and safety risks., • Collaborate with suppliers and contract manufacturing partners to implement design recommendations and support production readiness., • Create and maintain detailed part and assembly drawings, with particular attention to features and tolerances that are critical to function., • Adapt to evolving project priorities while consistently delivering on engineering goals throughout a long-term engagement., • Demonstrate an ownership mindset by identifying needed work, managing priorities, and meeting commitments within a fast-paced schedule. Essential Skills • Minimum of 2 years of experience performing finite element analysis (FEA)., • At least 8 years of applicable mechanical engineering experience., • Bachelors or masters degree in Mechanical Engineering or a related engineering discipline., • Proficiency with FEA software, with ANSYS strongly preferred., • Proficiency with a mechanical CAD package, with SolidWorks strongly preferred., • Ability to work full-time on-site in Bellevue, WA., • Experience applying FEA results to guide design decisions and communicate tradeoffs., • Strong capability to create and interpret mechanical drawings and specifications., • Demonstrated ownership mindset, including self-directed work planning and accountability in a fast-paced environment., • Positive, client-focused approach and a strong commitment to ethical conduct., • Experience working with motors and actuators in mechanical systems. Additional Skills & Qualifications • Experience using SolidWorks PDM or similar systems to manage CAD files and revisions., • Practical knowledge of manufacturing processes and high-volume production methods, including injection molding, casting, sheet metal fabrication, and machining., • Understanding of actuators, gear trains, and transmissions, including their application in robotics or complex mechanical systems., • Strong skills in tolerance analysis and design for manufacturing and assembly (DFM/DFA)., • Hands-on experience with testing, troubleshooting, and root-cause analysis of mechanical hardware., • Experience navigating technical discussions with clients or demanding external stakeholders while remaining a hands-on individual contributor., • Experience performing torque-speed, duty-cycle, inertia, efficiency, life, force, energy, vibration, or thermal analyses., • Ability to clearly communicate complex technical information to both technical and non-technical audiences. Work Environment This is a full-time, on-site role based at a client facility in Bellevue, WA. You will work closely with cross-functional engineering teams, suppliers, and manufacturing partners in a collaborative, fast-paced environment focused on advancing robotics hardware. The setting supports hands-on engineering, including testing and interaction with physical hardware, alongside extensive use of simulation and CAD tools such as ANSYS and SolidWorks. Parking is covered, and you will be expected to be present on-site during standard working hours to engage directly with stakeholders and project teams. Job Type & Location This is a Contract to Hire position based out of Bellevue, WA. Pay and Benefits The pay range for this position is $65.00 - $75.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. 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) Job Type & Location This is a Contract to Hire position based out of Bellevue, WA. Application Deadline This position is anticipated to close on Nov 9, 2026. Workplace Type This is a fully onsite position in Bellevue,WA. 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 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service. 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 The Opportunity Zoox's mission is to build a purpose-built robotaxi that gives the world a better way to ride. Every line of that autonomous driving software has to be compiled, tested, and validated reliably at scale before it ever reaches the road. You'll join the team that owns the build infrastructure making that possible: maintaining and evolving our Bazel-based build system in a large, multi-language monorepo used by hundreds of engineers. As a key contributor, you will take ownership of the build ecosystem supporting our rapidly expanding, safety-critical autonomous vehicle software. This role entails configuring and upgrading compilers, profiling and optimizing build pipelines, and serving as the primary expert for all build-related inquiries. While we have established a robust foundation using Bazel in a monorepo along with a remote build farm and cache, our goal is to elevate this into a world-class development experience. We are searching for a passionate engineer with a strong curiosity for optimizing build speeds and a commitment to empowering developers through metrics and advanced tooling within our fast-paced culture. In this role, you will: • Own and evolve the core Bazel build ecosystem that every engineer at Zoox relies on to compile code and run tests, • Directly accelerate engineering velocity by minimizing Bazel overhead, streamlining incremental builds to reduce iteration times, and working with our vendor Engflow to optimize our RBE platform, • Develop custom Bazel rules and tooling (via Starlark) that abstract complexity so product teams can focus on autonomy problems, not build friction, • Integrate software quality tools into our build system and development workflow (code coverage, static/dynamic analysis, include-what-you-use), • Build tools and dashboards to empower developers to ship better software fasterQualifications, • Bachelor's degree in an engineering, mathematics, or related field and 8+ years of experience, • Minimum of 2 years of expertise with Bazel (or similar systems like Buck or Pants), • Linux experience, • Familiarity with maintaining large polyglot code bases, • Comfortable writing Python to integrate tools and automate as much as possibleBonus Qualifications, • C++ experience, • Experience contributing to open source bazel There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Mission Systems Software Engineer will work on developing solutions of a real time system environment to provide mission computing support at the center of an autonomous aircraft with sensor and weapons. This role will work to establish a software architecture for a real time system that operates in a multi-level environment at real time. The role will require work with hardware, software and systems teams to come to a consensus design. This role will focus on development of new systems and software designs from PDR, CoDR, CDR to lab test, flight test and fielding. What you'll do: • Serve as a software mission systems engineer for a safety- and mission-critical real-time mission-computing system aligned with A-GRA and AMS-GRA principles, profiles, interfaces, and data standards., • Define and maintain the end-to-end software architecture, including mission applications, platform services, middleware, operating-system interfaces, hardware-abstraction layers, networking, data distribution, component boundaries, and APIs., • Architect for deterministic real-time performance by addressing scheduling, latency, jitter, synchronization, throughput, resource utilization, distributed processing, and CPU/GPU/accelerator allocation., • Develop architecture views, interface definitions, data-flow and deployment models, sequence and timing diagrams, resource budgets, trade studies, and technical decision records., • Integrate sensors, effectors, communications, navigation, autonomy, mission management, command-and-control, data-processing, and vehicle services in collaboration with hardware, FPGA, cybersecurity, safety, systems, integration, and test teams., • Design for mission resilience and assurance through fault detection and isolation, redundancy, graceful degradation, recovery, health monitoring, cybersecurity, airworthiness, certification, and requirements traceability., • Establish engineering practices for concurrency, synchronization, memory and resource management, deterministic execution, interface control, configuration management, and predictable component integration., • Define and execute verification strategies across HIL/SIL laboratories, simulations, test benches, flight-test environments, and deployed systems using automated, performance, stress, fault-injection, interface, and timing tests., • Maintain technical ownership throughout the system lifecycle by evaluating enabling technologies and supplier designs, analyzing performance, managing technical debt and modernization roadmaps, promoting reuse, and communicating architectural decisions. Required qualifications:, • Senior: Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Systems Engineering, Aerospace Engineering, Electrical Engineering, or a related technical field with 5+ years of professional software-engineering experience, including 1+ years in software architecture, systems architecture, or technical leadership., • Staff: Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Systems Engineering, Aerospace Engineering, Electrical Engineering, or a related technical field with 8+ years of professional software-engineering experience, including 3+ years in software architecture, systems architecture, or technical leadership., • Senior Staff: Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Systems Engineering, Aerospace Engineering, Electrical Engineering, or a related technical field with 10+ years of professional software-engineering experience, including 5+ years in software architecture, systems architecture, or technical leadership., • Experience developing embedded, distributed, real-time, safety-critical, or mission-critical software systems., • Proficiency in C, C++, Rust, or another strongly typed systems-programming language., • Strong understanding of real-time software principles, including scheduling, concurrency, synchronization, latency, jitter, memory management, and deterministic execution., • Experience with embedded operating systems or RTOSs, middleware, interprocess communication, networking, and data-distribution technologies., • Experience defining software architectures, APIs, interface-control documents, data flows, deployment models, and system resource budgets., • Experience integrating software with hardware, sensors, communications systems, navigation systems, effectors, or other mission-system components., • Experience supporting software through requirements development, design reviews, implementation, integration, verification, system test, and deployment., • Working knowledge of systems-engineering processes, requirements management, traceability, configuration management, and verification and validation., • Ability to analyze system performance using instrumentation, telemetry, traces, profiling, network captures, timing data, and resource-utilization measurements., • Strong cross-functional technical leadership, problem-solving, written communication, and presentation skills., • Ability to obtain and maintain a U.S. Department of Defense security clearance; U.S. citizenship may be required for clearance eligibility. Preferred qualifications:, • Experience developing software for autonomous aircraft, unmanned aircraft systems, avionics, mission computers, robotics, or aerospace and defense platforms., • Experience with A-GRA, AMS-GRA, OMS, UCI, FACE, or other government reference architectures and open-mission-system standards., • Experience integrating autonomy, mission management, command-and-control, sensor processing, communications, navigation, and effector capabilities., • Familiarity with airworthiness, safety-assurance, or certification standards such as DO-178C, DO-254, ARP4754A, or applicable military airworthiness guidance., • Experience with CPU-, GPU-, FPGA-, or accelerator-based heterogeneous computing architectures., • Experience with publish/subscribe middleware, quality-of-service controls, high-rate data distribution, precision timing, and distributed time synchronization., • Experience designing cybersecurity controls for embedded or mission systems, including trust boundaries, least privilege, authentication, authorization, secure communications, and software integrity., • Experience with HIL/SIL environments, simulation systems, laboratory integration, flight testing, or operational deployment., • Experience evaluating supplier designs, RTOSs, middleware, computing platforms, or third-party software for architectural compliance and integration readiness., • Active or previously held U.S. Department of Defense Secret clearance. #LI-AA1 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWe are Fresh. Together let’s build the future. With partners and clients, we practice strategy, design, development, and engineering to harness the power of technology and create what's next. Our cross-disciplinary approach blends human ingenuity and technology, empowering us to meet uncertainty with confidence. What got us to today won’t get us to tomorrow, so we test our assumptions and always strive for growth. From the products we build to the partners we collaborate with, we believe people make the difference. And we do so as a workforce representative of the communities we serve, understanding that a diverse workforce strengthens our organization. We value diversity and support a positive and welcoming environment where all of our employees can thrive. Why join Fresh? The Fresh Consulting hardware and robotics team is working with customers to build and deploy fleets of robots and intelligent distributed devices into the field. You’ll own perception pipelines that bridge what our systems see and how they act, from sensor data collection through edge deployment. Our programs involve deploying in the real world at scale. We are looking for a Senior Robotics Engineer with a focus on perception and applied AI. While the methodology for building these systems has evolved rapidly, we have adapted alongside it. In addition to classical CV and purpose-trained models, we deploy vision foundation models and learned policies on active programs whenever they are the right fit for the challenge. Regardless of the approach, our standard remains consistent: the solutions we deliver must operate reliably once in the customer's hands. If you have a strong background in software engineering, want to work across various robot platforms and sensor stacks rather than a single one, and want to help shape and lead how intelligent robotic systems are built and deployed, we’d love to chat. Daily Responsibilities • Design and own CV/ML pipeline architecture end-to-end: data collection, dataset curation, model training, event logic development, pipeline performance evaluation, and edge deployment., • Select the optimal approach for each problem, utilizing classical CV and purpose-trained detectors where appropriate, or foundation models and learned policies (including VLA models) when task complexity makes scripted methods impractical., • Develop, deploy and maintain the data engine pipeline, including auto-labeling, synthetic data generation from simulation, and field data observability loops to support continuous model performance improvements, using differentiated tactics and resource allocations to handle pre- and post-deployment requirements., • Fuse data from RGB-D cameras, LiDAR, and IMUs, with deep awareness of each modality’s tradeoffs, and familiarity of classical and learning-based multi-modal approaches, to fulfill specific technical goals., • Maintain IoT and fleet data pipelines supporting OTA model updates and telemetry across deployed units., • Define, analyze, and review perception requirements, verifying system performance through test automation and closed-loop evaluation., • Consult on the suitability of newer methods, considering latency budgets, determinism, cost, and safety certification when favoring conventional approaches., • Mentor engineers on the Fresh Robotics team, reviewing designs and code while helping them grow specifically in perception and ML disciplines., • Collaborate with hardware, cloud, and software engineering disciplines to ensure perception stack compatibility and identify technical risks early for larger scope technical alignment., • Participate occasionally in client scoping calls or customer site visits to assess feasibility and effort levels as a technical advisor. Skills and Qualifications • B.S./M.S. in Computer Science, Robotics, Electrical Engineering, or a related field (or equivalent hands-on experience)., • 3+ years of professional experience in robotics or CV/ML, • Expert-level proficiency in Python and C++, with a track record of driving complex projects to completion., • Deep experience with PyTorch across the full model lifecycle, including dataset work, training, and edge deployment., • Hands-on experience with OpenCV and classical computer vision techniques., • Deep experience with sensor fusion across camera, LiDAR, and IMU, including calibration and debugging on real hardware., • Excellent understanding of ROS 2, including integration of perception outputs with navigation and planning stacks., • Proficient with Docker, Linux command line, shell scripting, and Git workflows., • Excellent oral and written communication skills, with the ability to explain technical tradeoffs to customer stakeholders. Preferred Qualifications • Hands-on experience with vision foundation models, including open-vocabulary segmentation and detection, and judgment on model suitability., • Experience with learned policies, including imitation learning, diffusion policies, or fine-tuning open VLA models., • Experience optimizing large DNN models for edge compute using quantization, distillation, TensorRT, ONNX, and CUDA., • Experience with synthetic data and sim-to-real tools such as Mujoco, Isaac Sim, Isaac Lab, or Gazebo., • Experience building data engines involving auto-labeling, active learning, and closed-loop evaluation., • Experience with mmWave Radar, SLAM, path planning, 3D geometry, and controls & dynamics., • Familiarity with Kalman Filters and advanced state estimation techniques., • Experience with IoT data pipelines, MQTT, and real-time or deterministic systems programming., • Experience deploying algorithms for agent path-planning and verification of autonomous behaviors., • Familiarity with mainstream cloud platforms such as AWS, GCP or Azure, • Knowledge of edge NPUs for power-constraint yet performance demanding sensor data processing tasks, • Experience leading or mentoring engineering teams in a professional or consulting context. For a Washington-State-based role, the base salary hiring range for this position is $125,000 to $150,000. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Equal employment opportunity: All qualified persons will be considered for employment without regard to race, color, religion, sex, national origin, age, marital status, familial status, gender identity, sexual orientation, disability for which a reasonable accommodation can be made or any other status protected by law. Assistance will be gladly provided upon request for any applicant with sensory or non-sensory disabilities. *Fresh Consulting is an E-Verify participating company Powered by JazzHR AgVY8JGmXh

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI develops intelligent autonomous systems that protect service members and civilians. The X-BAT Engineering team is building a next-generation autonomous aircraft for demanding and contested environments. We are seeking a new-graduate RF Hardware Test Engineer to help verify RF modules, assemblies, and interfaces used in airborne and ground systems. Working alongside experienced engineers, you will build practical expertise in RF measurements, instrument automation, data analysis, troubleshooting, and qualification support. This role is centered on disciplined test execution and objective evidence rather than top-level RF system architecture. This is an Engineer I (L1) position intended for candidates completing an undergraduate or graduate degree or beginning their professional career. Coursework, research, internships, student teams, and personal projects are all relevant ways to demonstrate readiness. What you'll do: • Execute documented RF test plans and procedures with mentorship, record test configurations, and produce clear, traceable results., • Characterize RF modules and assemblies for S-parameters, gain and loss, output power, compression, harmonics and spurious emissions, isolation, rejection, noise figure, and receiver sensitivity as applicable., • Set up and operate vector network analyzers, spectrum analyzers, signal generators, power meters, oscilloscopes, noise-figure equipment, programmable power supplies, and related laboratory instruments., • Calibrate measurement setups and characterize cables, adapters, attenuators, fixtures, and other sources of measurement error., • Develop simple test fixtures, harnesses, interface adapters, and monitoring circuits; perform basic soldering and hardware rework when appropriate., • Automate instrument control, data collection, analysis, and plotting using Python, MATLAB, or comparable tools., • Compare measured performance with requirements, identify unexpected behavior, and summarize conclusions in engineering reports and reviews., • Troubleshoot test anomalies with senior engineers and learn to distinguish device behavior from setup, calibration, software, or environmental artifacts., • Support EMI/EMC pre-compliance and MIL-STD-461 qualification testing, environmental testing, hardware integration, and ground or flight test activities as needed., • Maintain safe, organized laboratory practices and follow equipment calibration, configuration-control, and data-management processes., • Collaborate with RF, electrical, mechanical, systems, software, manufacturing, and supplier teams., • Perform other duties as assigned.Required qualifications:, • Bachelor's or master's degree in Electrical Engineering, Applied Physics, or a related technical field, completed or expected within 12 months of the anticipated start date., • Coursework, research, project, or internship experience in RF or microwave engineering, communications, electromagnetics, analog circuits, or electronic hardware testing., • Fundamental understanding of S-parameters, impedance, transmission lines, gain and loss, noise, power, spectral content, and frequency response., • Hands-on laboratory experience gained through coursework, research, an internship, a student organization, or a personal project., • Basic programming and data-analysis skills in Python, MATLAB, or a similar environment., • Ability to follow test procedures, document setups and results accurately, recognize uncertainty, and ask for guidance when needed., • Clear written and verbal communication skills and the ability to work constructively in a multidisciplinary team., • Ability to work on-site in a laboratory and hardware-development environment.Preferred qualifications:, • Experience using a vector network analyzer, spectrum analyzer, signal generator, power meter, oscilloscope, noise-figure analyzer, or programmable test equipment., • Experience automating laboratory instruments or analyzing measurement data using Python, MATLAB, SCPI, or a comparable approach., • Familiarity with RF simulation or design tools such as ADS, AWR, HFSS, or CST., • Experience with PCB bring-up, soldering, RF connectors and cables, test fixtures, harnesses, or basic hardware rework., • Exposure to EMI/EMC testing or MIL-STD-461 through coursework, research, an internship, or laboratory work., • Exposure to environmental, qualification, reliability, or acceptance testing of electronic hardware., • Experience on a university design team, research laboratory, internship, co-op, or project involving aerospace, defense, robotics, communications, or other high-reliability hardware., • Ability to obtain an S//SAR level security clearance, if required by the program. #LI-JW4 #LA Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description At Orchard, we’re securing America’s food supply by building the AI Farmer that automates our nation’s farms. We are the industry leader, growing rapidly, and backed by more than $25 million from leading investors, including Quiet Capital, Shine Capital, and General Catalyst. Every year, hundreds of billions of dollars in crop value are lost because critical farming decisions are made using incomplete and imprecise data. We’re building the technology to change that. Our AI-powered camera systems mount to tractors and scan millions of trees, vines, and plants, capturing precise data on yield estimates, fruit size, crop health, disease, and more. We train edge vision AI models that analyze every plant and determine exactly what interventions and treatments it needs. That intelligence flows into FruitScope OS, our farm-management platform, where growers can understand their crops, make better decisions, and direct operations in the field. Today, Orchard’s technology is trusted by some of our nation’s largest farms. They use our products to grow higher-quality crops while reducing chemical use and operating costs, helping them farm more profitably and sustainably than ever before. Our Culture: Unshakeable Resilience – Our customers feed millions of people, and our customers depend on us. We are ultra-hardworking, never give up, and we do whatever it takes. Always Keep Moving – We move fast, waste no time, and have an extreme bias towards action. Progress compounds every day, and our impact is measured in decades. Improve Everything – At 1% success, we save millions of pounds of food from going to waste. If we are 100% successful we will impact the lives of billions of people across the world. Farmers First – Every team member spends at least a few days in the fields with our farmers each month. No Job Beneath Us – We’re low ego, own every outcome, and are all working towards the same goal. The Role: In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing. We are looking for a Senior Robotics Software Engineer to invent creative, practical, and robust solutions to real-world computer vision problems relating to perception and localization. About the role: Full-time, in-person role at our San Francisco or Seattle office Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium We move fast, and sometimes this means staying late or working weekends Our team is close-knit & highly driven, you’ll work directly with our CEO and entire team We’re deeply motivated by the impact we’re making – every line of code written or new system built means less food that goes to waste, and more people who are fed. What you’ll do: Develop robotics software that runs on our tractor-mounted, AI-powered camera systems, including advanced perception & localization algorithms. Implement intelligent systems and processes to interpret complex, real-world data (each system collects terabytes of raw image data every day). Fuse sensor data (stereo depth, GNSS, etc) to localize our camera system in a farm. Optimize code for fast edge computing performance (Python, C++). Be a generalist, supporting different parts of our software and hardware stack if needed. What makes you a good fit: Hands-on experience developing robotics software from the ground up. 4+ years of real-world industry experience in robotics, perception, or localization. Expertise in one or more of the following areas: computer vision, stereo depth perception, pose estimation, object detection, multi-object tracking, image processing, robotics software. Enthusiasm for taking on multiple roles and responsibilities as our company grows. You like fast-paced environments where you have high ownership over your work. Bonus Points: Experience deploying & optimizing robotics algorithms to run fast on embedded compute like NVIDIA Jetson. Familiarity with fusing data from GNSS, IMU, depth, and other sensors. If you're looking to help make a positive impact in the world by building the future of farming, come join us! Compensation Range: $150K - $250K

Job DescriptionRadar Reinvented. Echodyne offers the world's first compact solid-state true beam-steering radar for a wide range of industries and applications. Our high-performance radars work in all weather and are designed for autonomous vehicles, uncrewed aircraft & drones, and security of borders, critical infrastructure, and smart cities. The company combines the patented technology of metamaterials with powerful software to create a radar sensor with unprecedented performance at commercial price points. Echodyne offers its radars to companies working in Automotive, Transportation, Critical Infrastructure Protection, Border Security, Smart Cities, Uncrewed Aircraft Systems (UAS), and Airspace Management including Urban Air Mobility (UTM). Echodyne is seeking a Principal State Estimation Engineer to join our fast-growing team. ROLE OVERVIEW In this role, you'll lead development of pose-estimation capabilities for Echodyne radars operating in GPS-denied environments. You'll architect and develop new on-radar systems that use radar and inertial sensor data to estimate the global position and motion of radars without reliance on external navigation systems. You'll make key algorithm and system-level tradeoffs and own efforts from early prototyping through production deployment. You'll also provide technical leadership on related state-estimation and sensor-fusion problems, such as target tracking. Your work will have an immediate real-world impact on our established and rapidly growing fleet of fielded radars, helping make them more robust and effective at protecting the infrastructure and people that rely on them in an evolving world. RESPONSIBILITIES • Lead development of methods for estimating radar position, velocity, orientation, angular rate, and height above ground in GPS-denied environments using radar and IMU data, terrain maps, and other on-radar sensors and data., • Apply techniques from robotics and autonomy, including SLAM, odometry, inertial navigation, localization, factor graphs, probabilistic state estimation, and machine learning – within the constraints of an embedded real-time system., • Take these algorithms from research and prototyping through production implementation., • Drive system-level impacts and coordinate with other teams on deployment., • Work with radar, signal processing, embedded software, systems, and test teams to integrate capabilities into products., • Analyze field data to characterize performance and identify failure modes to produce robust, production-grade solutions. REQUIRED SKILLS / EXPERIENCE, • Demonstrated ability to independently lead an open-ended technical problem., • Experience developing state-estimation, localization, navigation, perception, or machine learning solutions for robotics, VR/AR headsets, autonomous vehicles, drones, aerospace, or similar platforms from prototype through production deployment., • Experience working with real-world spatial sensor data (e.g. camera, lidar, radar, ultrasound, sonar)., • Experience with SLAM, Kalman filtering, Bayesian estimation, and factor graphs., • Deep understanding of state-estimation theory, 3D geometry, coordinate transformations, rotations, and kinematics., • Strong foundations in linear algebra, probability, statistics, and optimization., • Strong software development skills in C++ and either Python or MATLAB., • Strong verbal and written communication skills. DESIRED SKILLS / EXPERIENCE (Looking for one or more as a complement to the core skills) • Experience with visual, lidar, or radar odometry; map- or terrain-relative localization, Maximum Likelihood Estimation., • Experience with open-source C++ optimization libraries (GTSAM, Ceres)., • Software development processes and best practices., • Real-time or embedded algorithm development., • Understanding of traditional navigation sensors (IMUs, accelerometers, gyroscopes, magnetometers, GPS, etc.)., • Familiarity with alternative navigation sensors (camera, RF ranging, celestial, etc.). PREFERRED QUALIFICATIONS • MS with 7+ years or PhD with 5+ years of relevant experience in robotics, VR/AR headsets, aerospace, electrical engineering, computer science, applied mathematics, or a related field., • Demonstrated technical leadership on complex, production-grade algorithm development efforts., • Ability to handle export-controlled (ITAR, EAR) data. Echodyne's technology is export controlled by the U.S. Government and we must evaluate an applicant's eligibility to handle export-controlled information or obtain required Government authorizations. Therefore, we will ask you as part of the application process to identify whether you are a U.S. Citizen or green card holder, or have asylum/refugee status in the U.S. WHAT WE OFFERThis is an exempt role. The expected annual salary range for this role is $164,594—$246,788 USD If your skills generally align but not perfectly, please apply anyway. There may be another role that's a great fit for you! We offer competitive compensation and benefits to our full-time, US-based employees, including: • RSU (Restricted Stock Units), • Generous Benefits:, • Fully-paid medical, dental, and vision insurance premiums for you, • Choice of PPO or HDHP/HSA, • Virtual Care – 98Point6, • Employee Assistance Program, • Mental Health coverage through Springhealth & Talkspace (Premera), • Travel Assistance Insurance, • Company Paid Life Insurance, • Company Paid Short & Long Term Disability, • Flexible PTO (exempt) / 15 days per year (non-exempt), • 401(k) match, • Pet Insurance, • Prepaid Legal Program, • Commuter Benefits, • Paid Company Holidays All qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or any other characteristic protected by law.

Job Description Kickmaker is a high-tech product design and industrialization agency. We support our customers from prototype to production run in our main vertical markets (medical, new mobility, electrification, agrotech, robotics, IOT and consumer devices) and our cross-disciplinary skills (embedded AI, high-tech manufacturing automation, eco-design, industrial design and WEB 3.0 for the economy of functionality). We're evolving with a real maker culture! Passion, excitement and kindness are the pillars of KICKMAKER. This team and community spirit has enabled us to shape a unique corporate culture. Our approach: to enable everyone to fulfill their potential by working on exciting projects, and to encourage autonomy and initiative. Present in France, China and the United States, our community counts over 250 passionate kickers and keeps growing. It is in this context that we are looking to strengthen our team in Boston, Seattle and San Fransisco. As a Software Engineer, you will be in charge of supporting software development on the projects entrusted to you. Your responsibilities will include : · Definition of project requirements, based on customer needs · Firmware/software design and development · Unit testing, functional testing & documentation · Integration and continuous deployment · Iterative sprint cycle, taking into account customer feedback · Guarantee the quality of established processes and compliance with current HSE standards · Help define eco-design and industrial relocation approaches · Participate in/implement/perform product life-cycle analysis to improve the CSR impact of products. Required profile : · Graduate of an engineering school or master's degree in embedded computing · Successful experience in firmware development for an embedded product · Microcontroller development in C, C++ on STM32, ESP32, Nordic targets... · Embedded Linux development (Qt, yocto, Zephyr...) · Development of test tools (python, C#, java...) · Knowledge of or familiarities with various technologies, such as : - Communication bus : UART, I2C, SPI, CAN, RS-232, RS-485 - Wireless communication: BLE, LoRa, LTE · Electronics skills (schematic reading, oscilloscope, logic analyzer, etc.) · Good knowledge of motor control and servo algorithms is a plus More generally, the employee shall also ensure the development and maintenance of the company’s brand image with its clients and ensure compliance with applicable procedures, both in the performance of their own duties and with regard to the employees under their supervision. The employee must remain aware of the responsibilities associated with the performance of their duties and may not claim to have been unaware of them under any circumstances. In carrying out the responsibilities described above, and more broadly in the performance of all activities within the Company, the employee shall be placed under the direct supervision of the Executive Management of Kickmaker. • Location: Seattle, Washington, USA, • Base Salary: $105 000 to $120 000/ year, • Experience Required: 5 years in a relevant fieldYour adventure at Kickmaker At Kickmaker you’ll work on 5–10 projects annually, choosing from a wide range of industries : from robotics, medical devices, fitness tech, and automotive, to micro-mobility, beauty tech, sports exoskeletons, and AI-driven hardware. Your path evolves with your curiosity: we help you grow where your professional ambitions and personal passions meet, always connected to the latest tech breakthroughs. We offer a benefits package designed to support you and your family while keeping costs low. This includes health and dental coverage, paid time off and 5 sick days for rest and renewal. You can also join our 401(k) plan to invest in your future. Our Culture & Spirit Kickmaker is built by innovators, for innovators. Across our 7 offices we give you the tools to make your ideas happen. Our vision is simple: build a space where innovators can explore, experiment, and push boundaries together. If you’re curious about our spirit and way of working (and you’ve got a minute) check out this short video where Leonardo da Vinci “visits” Kickmaker.An image is worth a thousand words, and this one will give you the full vibe If you’ve ever looked at a product and thought, “I could build this better,” let’s talk! We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Associate Quality Engineer supports Quality Engineering activities throughout the development of XBAT, a first-of-a-kind aerospace and defense product. This role partners closely with Design Engineering, Systems Engineering, Manufacturing Engineering, Test, Supply Chain, and Program Management to identify and mitigate product and process risks as the product moves from development toward production. This role will help establish quality into the product development process rather than relying on inspection to detect problems after the fact. The role provides hands-on support for risk management, root cause analysis, verification and validation activities, configuration and change control, nonconformance management, and development process compliance. This is an early-career engineering role with significant opportunity to develop expertise in aerospace product development, quality engineering, and product assurance. What you'll do: • Support Quality Engineering activities across the XBAT product development lifecycle., • Partner with Design Engineering to identify product risks and establish appropriate controls., • Participate in design reviews, manufacturing readiness reviews, test reviews, and other development milestones from a quality perspective., • Support investigation and root cause analysis of prototype, test, and manufacturing failures., • Lead or support RCCA activities using structured problem-solving methodologies., • Support management of nonconforming material and prototype hardware, including containment, investigation, disposition, and documentation., • Evaluate engineering and manufacturing changes for quality risks and support implementation of appropriate verification activities., • Support development of inspection, test, and verification strategies based on product risk., • Support First Article Inspection and other product verification activities as XBAT transitions toward production., • Support audits and assessments of XBAT development processes against AS9100, customer, contractual, and program requirements., • Develop and maintain quality documentation, procedures, checklists, and objective evidence.Required qualifications:, • Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, Quality Engineering, or a related engineering discipline., • 0–3 years of engineering, quality, manufacturing, test, or related experience.Preferred qualifications:, • Internship, co-op, or project experience in aerospace, defense, automotive, robotics, electronics, or other complex product development., • Familiarity with AS9100 or other aerospace/quality management systems., • Experience with root cause analysis, 8D, RCCA, CAPA, DMAIC, or similar methodologies., • Familiarity with FMEA, risk management, or reliability engineering., • Experience participating in design reviews, test activities, or product development projects., • Understanding of configuration management and engineering change processes., • Familiarity with GD&T and engineering drawings. #LI-JM1 #LA Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob Title: Semiconductor Equipment Engineer Location: Fishkill, New York, USA Onsite/ Remote: Day 1 Onsite at customer location Position Summary The Semiconductor Equipment Engineer is responsible for installation, sustaining, troubleshooting, maintaining, and improving 300 mm semiconductor manufacturing equipment at the client s Fishkill fabrication facility. The engineer will work closely with Process Engineering, Production, Facilities, Quality, equipment vendors, and maintenance technicians to maximize equipment availability, process capability, safety, and manufacturing productivity. Candidates must have strong hands-on expertise in at least two of the equipment platforms listed below: AMAT Centura ASM A412 Furnace or equivalent Kokusai furnace platform TEL 303i / Indy Furnace SEZ / LAM wet-processing equipment AMAT Reflexion LK Ebara FREX300 DNS SU / SS / FC platform Key Responsibilities Perform corrective, preventive, predictive, and condition-based maintenance on assigned 300 mm semiconductor equipment. Diagnose and resolve complex electrical, mechanical, vacuum, pneumatic, robotic, chemical-delivery, temperature-control, and software-related equipment failures. Monitor equipment performance, alarms, interlocks, fault logs, maintenance history, and process data to identify recurring failures and degradation trends. Lead root-cause analysis and implement sustainable corrective and preventive actions to improve equipment uptime, mean time between failures, and mean time to repair. Support equipment installation, start-up, calibration, acceptance testing, qualification, relocation, upgrades, retrofits, and decommissioning. Work with Process Engineering to investigate equipment-related excursions, SPC violations, wafer defects, contamination events, and yield-impacting issues. Develop, review, and maintain preventive maintenance procedures, troubleshooting guides, checklists, work instructions, equipment specifications, and maintenance records. Coordinate maintenance activities with Production to minimize disruption and return equipment safely to manufacturing. Inspect and maintain vacuum pumps, valves, RF systems, motors, drives, heaters, sensors, robotics, wafer-handling assemblies, chemical systems, and related subcomponents. Identify critical spare parts, recommend inventory levels, and support repair-versus-replacement and obsolescence-management decisions. Interface with original equipment manufacturers and specialist vendors for escalated troubleshooting, technical support, and equipment modifications. Provide technical guidance and hands-on training to equipment technicians and junior engineers. Ensure compliance with cleanroom protocols, lockout/tagout requirements, hazardous-energy controls, chemical-handling procedures, and site EHS standards. Participate in shift handovers, equipment-performance reviews, continuous-improvement initiatives, and emergency production support. Minimum Qualifications Associate degree, technical diploma, bachelor s degree, or equivalent military training in Electrical, Electronics, Mechanical, Mechatronics, Chemical, Manufacturing, or Engineering Technology. Typically 5 or more years of hands-on semiconductor equipment maintenance or equipment engineering experience in a wafer-fabrication environment. Demonstrated 300 mm equipment experience on at least two of the specified equipment platforms. Strong understanding of electrical, mechanical, electro-mechanical, vacuum, pneumatic, robotic, thermal, and computer-controlled equipment systems. Ability to interpret electrical schematics, mechanical drawings, piping diagrams, equipment manuals, alarm histories, and software logs. Proficiency with diagnostic tools such as digital multimeters, oscilloscopes, pressure and vacuum measurement devices, calibration tools, and standard hand tools. Experience performing structured fault isolation, root-cause analysis, and corrective-action implementation. Effective written and verbal communication skills, including accurate maintenance documentation and technical reporting. Ability to work independently and collaboratively in a high-volume manufacturing environment. Willingness to work compressed, rotating, weekend, or night shifts according to fab requirements. Preferred Qualifications Advanced troubleshooting experience on furnace, wet-clean, CMP, deposition, or related 300 mm process equipment. Experience with equipment automation, wafer-handling robotics, factory-host communication, recipe management, and equipment-control software. Familiarity with SPC, FDC, equipment-performance metrics, reliability engineering, and computerized maintenance-management systems. Experience leading equipment upgrades, productivity improvements, cost-reduction initiatives, or chronic-failure elimination projects. Previous responsibility for technician training, technical escalation, or vendor coordination. Physical and Work Requirements Ability to work in a cleanroom while wearing the required personal protective equipment. Ability to stand or walk for extended periods and perform work in restricted equipment spaces. Ability to kneel, bend, climb ladders, and use hand and power tools. Ability to lift equipment parts or assemblies in accordance with site safety limits. Ability to work safely around chemicals, gases, vacuum systems, electrical systems, and automated manufacturing equipment.

Job Description Simplifying the Complex. Simplexity is a product development engineering firm that helps leading technology companies bring advanced robotic and automation systems into reliable, scalable production. We reduce cost, improve quality, and strengthen manufacturing readiness for our clients. Why join Simplexity Product Development? You’ll solve challenging manufacturing and hardware-quality problems involving integrated mechanical, electrical, sensing, actuation, and control systems. Our collaborative teams value meaningful work, technical growth, and sustainable work-life balance. POSITION DESCRIPTION Simplexity is seeking a hands-on senior mechanical engineer to work embedded with our team at our client’s site in Bellevue, WA on a cutting-edge robotics product. You should be skilled in finite element analysis (FEA), ideally using ANSYS, and be able to communicate tradeoffs that affect designs based on modeling results. This position will include making design updates to subsystems to optimize them for manufacturing and creating release-quality documentation. JOB DUTIES • Review, analyze, and optimize preliminary actuator designs for manufacturing, lower cost, ease of assembly, and strong reliability., • Perform structural finite element analysis or other relevant analyses., • Define tests, diagnose failures, perform root-cause analysis, and iterate rapidly to working hardware., • Present design tradeoffs, technical risks, decisions, and project status directly to client stakeholders., • Use structured quality and problem-solving methods to improve manufacturing performance and reduce field and safety risk., • Coordinate mechanical interfaces with suppliers and contract manufacturing partners., • Manage and update part and assembly drawings and Bills of Materials., • Respond to evolving client needs over a long-term engagement. QUALIFICATIONS • Bachelor’s or master’s degree in Mechanical Engineering or a related engineering discipline., • 8+ years of applicable experience, including at least 2 years of finite element analysis (FEA)., • Have an ownership mindset and deliver on project goals by figuring out your task list and holding yourself accountable to meeting a fast-paced schedule., • Proficient knowledge of ANSYS (highly preferred) or FEA software., • Proficient knowledge of SolidWorks (highly preferred) or equivalent CAD package., • Demonstrable knowledge of manufacturing processes and high-volume production methods – injection molding, casting, sheet metal, machining, etc., • Experience developing custom actuator or drivetrain solutions, ideally with external vendors., • Strong GD&T (ASME Y14.5), tolerance analysis, and DFM/DFA, • Hands-on testing, troubleshooting, and root-cause analysis experience., • Experience having technical discussions with clients or demanding external stakeholders while remaining a hands-on individual contributor., • Strong understanding of actuators, gear trains, and transmissions., • Positive, client-focused style and a commitment to ethical conduct., • Ability to work full-time on-site in Bellevue, WA at Simplexity’s client site. PLUSES TO HAVE Experience in any of the following areas is a strong plus: • Performing torque-speed, duty-cycle, inertia, efficiency, life, force, energy, vibration, or thermal analyses., • Experience designing test fixtures, test instruments, or automated mechanical test equipment., • Experience using SolidWorks PDM to manage CAD files. COMPENSATION AND BENEFITS • Base salary range: $140K - $160K, depending on years of experience and skill sets, • Excellent Healthcare plan (Medical, Dental, and Vision) fully paid for by the company for the employee; partial payment for dependents, • 401(k) plan with company match, • Long-term and short-term disability, AD&D and Life Insurance, • Paid maternity/new parent leave, • 11 Paid holidays, • 3 weeks of paid time off (PTO) per year, increasing after 2, 5, and 9 years of service 1099 contractors who have their own registered consulting/contracting business will also be considered: • Hourly rate $100 - $125/hr, depending on experience, • No benefits, holidays, or paid time off (PTO) included No recruiters please. Simplexity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Diverse candidates are encouraged to apply. * Please be advised that Simplexity Product Development will never ask you to respond to a non-SimplexityPD domain such as a gmail, ymail, hotmail, etc. If you suspect that you have been contacted by someone impersonating Simplexity Product Development who is using a fraudulent email address, please do not reply. If you are not sure, please fill out a contact form at https://www.simplexitypd.com/contact/ to report the incident. * Powered by JazzHR W463c0tvWK

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) \nCompany Description 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. 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 Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are seeking a highly motivated Ground System Software Engineer to design, develop, and maintain software systems for the X-BAT Platform. This role focuses on building robust ground control stations, mission planning tools, communication interfaces, and infrastructure that enable the X-BAT mission, and supports operational requirements safe and efficient drone operations. You'll work at the intersection of all major components of the X-BAT Platform and its systems, providing user-facing applications to operate X-BAT and supporting equipment or vehicles, and will be collaborating closely with our Aircraft Software, Hivemind, and Flight Test teams to design this state-of-the-art ground system. What you'll do • Design, develop, and optimize next-gen ground control software that enables low-latency communication with UAVs and other autonomous platforms., • Build high-performance full-stack applications that support telemetry processing and fusion, mission planning, and real-time situational awareness., • Implement responsive user interfaces with React and TypeScript for telemetry readout and sensor feeds, operator workflows, and mission/vehicle state., • Collaborate closely with teams across autonomy, embedded systems, human factors, and UX to deliver integrated, field-ready solutions., • Contribute to architectural decisions and system designs that ensure responsiveness, scalability, and fault-tolerance., • Lead and/or participate in development efforts on key features or subsystems, from early design through deployment and iteration., • Write high-quality, well-tested code and participate in peer design/code reviews.Required qualifications:, • Senior: Bachelor’s degree in Computer Science, Software Engineering, Robotics, or a related field with 5+ years of professional software development experience, or Masters with 4+ years, or PhD with 2+ years., • Staff: Bachelor’s degree in Computer Science, Software Engineering, Robotics, or a related field with 7+ years of professional software development experience, or Masters with 6+ years, or PhD with 4+ years., • Senior Staff: Bachelor’s degree in Computer Science, Software Engineering, Robotics, or a related field with 9+ years of professional software development experience, or Masters with 8+ years, or PhD with 6+ years., • Proficiency in a strongly typed programming language (e.g. C#, TypeScript, Java, C++) with exposure to lower-level systems or protocol integration., • Experience with web technologies, especially React, TypeScript/JavaScript, and Node.js., • Strong software engineering fundamentals including version control, testing, debugging, and performance profiling., • Proven ability to deliver high-quality software as part of a collaborative engineering team., • Experience building distributed systems or networked applications, • Experience developing user interfaces (e.g., React, Vue, QT, or similar frameworks), • Strong debugging, problem solving, and system integration skills, • Speed and proficiency without the use of Generative AI tools (due to the nature of our work, these are prohibited), • Ability to work in a fast-paced, cross-functional engineering environment, • Ability to obtain security clearancePreferred qualifications:, • Experience with GCS software, mission planning tools, or real-time visualization platforms., • Familiarity with API-driven systems using REST or gRPC, and communication protocols like WebSocket or custom telemetry formats., • Knowledge of standards such as STANAG 4586, Cursor on Target (CoT), or MAVLink., • Experience with UAS platforms and AI/ML systems., • Familiarity with containerized environments (e.g., Docker, Kubernetes) and CI/CD practices., • Exposure to distributed systems and cloud integration for telemetry data pipelines and sensor fusion., • Understanding of security best practices in control systems and networked applications., • Exposure to cybersecurity best practices for embedded or distributed systems, preferably within Gov and/or Defense environments #LI-AA1 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Are you a passionate and innovative engineer looking to help develop state-of-the-art AI and robotics products? Are you eager to make a positive difference in the world? Do you want to work alongside mission-driven and values-focused teammates? Shield AI is just the place for you! The Hivemind Quality team is committed to ensuring our autonomy platform delivers a seamless developer experience and enables customers to build world-class autonomous systems. We focus on integrating, validating, and continuously improving the Hivemind ecosystem—spanning autonomy behaviors, sensor processing, multi-agent coordination, ground-control systems, and embedded platforms. Our mission is to ensure that autonomy developers can efficiently build, test, and deploy autonomous applications that meet real-world mission objectives. We are seeking an experienced Software Integration Engineer passionate about autonomy development. In this role, you will become a power user of the Hivemind SDK, deeply understanding its capabilities and identifying gaps from a customer perspective. You will develop and validate customer use cases, evaluate the ease of use for autonomy developers, and provide actionable feedback to Engineering and Product teams. You will play a critical role in integrating new autonomy capabilities into the platform, assessing feature completeness, and anticipating novel customer workflows and edge cases. This position bridges the gap between engineering development and real-world autonomy applications—ensuring our platform empowers customers to build reliable, mission-ready autonomous systems. What you'll do: • Become a systems integration expert for autonomous robotics: Develop deep expertise in our AI-powered autonomy stack., • Learn to configure, deploy, and integrate multi-agent systems across simulation, hardware-in-the-loop, and flight platforms., • Understand the full system end-to-end—from sensor inputs to autonomous behaviors., • Integrate new capabilities into the autonomy stack: Collaborate cross-functionally with development teams to bring autonomy algorithms, perception pipelines, middleware, and platform interfaces into the integrated product. Ensure seamless interoperability between components., • Enable platform bring-up and validation: Lead the integration of autonomy software onto new robotic hardware platforms., • Configure sensor drivers, communication interfaces, and platform adapters to enable full autonomy stack functionality on prototype and production vehicles., • Develop integration tooling & infrastructure: Architect and implement integration frameworks, deployment scripts, and configuration management tools that streamline bringing new capabilities into Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and flight environments., • Support cross-platform compatibility: Work with other integration engineers to ensure the autonomy stack operates reliably across all supported platforms, operating systems, and deployment configurations. Identify and resolve integration issues across system boundaries., • Analyze system behavior and root-cause issues: Evaluate system logs, telemetry, and rosbag data to diagnose integration defects. Collaborate with developers to isolate issues to specific subsystems and drive resolution. Create analysis tooling to accelerate debugging., • Optimize integration workflows and CI/CD: Partner with DevOps teams to streamline integration pipelines, reduce build-to-deploy cycle times, and ensure robust continuous integration of new features. Define integration checkpoints and criteria for release readiness., • Validate system requirements and interface contracts: Work with engineers to ensure integrated capabilities meet product requirements and interface specifications. Assist in developing tooling to verify end-to-end system compliance and traceability.Required qualifications:, • Typically requires a minimum of 7 years of related experience with a bachelor’s degree in CS, Comp Eng, Robotics, or a related field; or 6 years and a master’s degree; or 4 years with a PhD., • Proficiency in programming languages including Python or C++., • Experience with autonomous systems or server applications or middleware., • Demonstrated experience designing integration workflows, communicating system dependencies, and triaging and reporting integration defects across subsystem boundaries., • Proficiency with simulation tools and hardware-in-the-loop (HIL) testing environments., • Strong expertise with CI/CD pipelines., • Strong problem-solving skills and a proven track record of delivering high-quality software solutions., • Excellent communication skills, capable of collaborating effectively across various teams and presenting to customers or technical leadership. Preferred qualifications:, • Demonstrated experience building complex systems with a strong understanding of software architecture and design principles., • Experience with hardware or embedded systems., • Expert knowledge of Python., • Experience with ROS., • Experience with white box testing, • Familiarity with networking, operating-systems, and radio communications., • Experience designing automated tooling for testing for GUI applications., • Experience designing automated tooling for testing server applications. #LI-DS5 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. As an Automation Engineer you will be responsible for; ● Read, interpret, and comment on engineering documents, including Controls, P&IDs, GAs, process design guidelines, Electrical Schematics, I/O Lists, Instrument and Automated Valve Lists, Network Architecture. ● Collaborate in cross-functional project team discussions and client meetings. ● Understand, comment, and follow contractual and customer specifications. ● Design the complete detailed programming deliverables, including PLC, HMI, SCADA and related scope. ● Manage budget, scope, schedule, and proactively report risks and opportunities to project teams. ● Lead the maintenance and upkeep of one set of Veolia process control documents. ● Support field and production activities, providing Automation support both remotely and on site. ● Ability to collaborate in and lead cross-functional project team discussions and client meetings. ● Proven ability to develop and follow procedures and standards, while extrapolating new concepts from established standards. ● Knowledge of and/or demonstrated ability to learn equipment and processes related to Veolia WTS products and systems. ● Experience with the major brands of automation equipment; Rockwell, Schneider, Emerson, Siemens ● Demonstrated experience with troubleshooting control systems, network design, VFD's, IPC's and an appetite to learn new software. Qualifications; ● Knowledge of and/or demonstrated ability to learn equipment and processes related to Veolia WTS products and systems. ● Understanding of networking including redundant and distributed networks ● Understanding of VFD's, instrumentation and other process control related equipment. ● Strong focus on customer relationships (external/internal). Understands balance between customer and Veolia teams. ● Experience with basic electrical design and control documentation. Periodic travel (25%) for factory testing, panel checkouts, client meetings, customer site visits, and/or visits to other Veolia offices Location: Bellevue, WA (preferred), Richmond VA, Minnetonka MN, Boise ID, Texas (willing to travel to Bellevue, WA as needed) Salary Range: $90-$140k Note: Due to the nature of the work, only US Persons (citizens or permanent residents) need apply for this position. - OPTIONAL All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Do you enjoy working in a dynamic lab environment and contributing to hardware that can directly impact the safety of service members and civilians? Shield AI is looking for a hands-on Vibration Test Engineer to help validate the next generation of intelligent autonomous systems through rigorous dynamic testing. The Mechanical Test team's mission is to inform and improve Shield AI hardware design by quantifying product performance through custom measurement systems, specialized testing, and rigorous analysis. As a Vibration Test Engineer, you will serve as the team's subject matter expert in vibration and structural dynamics, leading efforts to characterize hardware response, validate analytical models, and ensure products can withstand demanding operational environments. We are looking for candidates who are passionate about structural dynamics, curious about how complex systems behave under dynamic loading, and excited to solve challenging engineering problems in a fast-paced, collaborative environment. You will partner closely with Mechanical Design, Analysis, Flight Test, Manufacturing, and Reliability teams to develop test strategies, investigate failures, and improve hardware performance throughout the product lifecycle. Success in this role requires deep technical expertise in vibration testing, strong analytical thinking, exceptional organization, and the ability to communicate complex technical findings to cross-functional engineering teams. What you'll do: • Lead the planning, execution, and analysis of vibration test programs supporting product development, qualification, and flight readiness., • Design, build, and deploy instrumented test setups for vibration, modal, structural, and environmental testing using industry-standard measurement equipment., • Execute shaker table testing including sine sweep, random vibration, sine-on-random, resonance search, dwell, and shock testing., • Perform experimental modal analysis to characterize structural dynamics and validate finite element models., • Develop fixture designs and test methodologies that accurately replicate operational loading conditions while minimizing fixture influence., • Instrument hardware using accelerometers, strain gauges, force sensors, displacement sensors, and other dynamic measurement systems., • Analyze vibration response data using frequency-domain and time-domain techniques to identify resonances, mode shapes, damping characteristics, and potential failure mechanisms., • Partner closely with Mechanical Design and Structural Analysis engineers to correlate test results with analytical models and improve future designs., • Investigate vibration-related hardware issues, perform root cause analysis, and recommend design improvements., • Develop comprehensive test plans, procedures, reports, and technical presentations that clearly communicate results and engineering recommendations., • Maintain vibration testing equipment, data acquisition systems, instrumentation, and calibration records., • Support environmental qualification testing and other mechanical test activities as needed.Required qualifications:, • B.S. in Mechanical Engineering, Aerospace Engineering, Structural Engineering, or a related technical discipline., • Hands-on experience performing vibration testing of mechanical or aerospace systems through industry, research, internships, or competitive engineering projects., • Experience operating electrodynamic shaker systems and associated vibration control software., • Experience with accelerometers, signal conditioning, data acquisition systems, and dynamic instrumentation., • Working knowledge of structural dynamics, vibration theory, modal analysis, and frequency response functions., • Experience performing or supporting experimental modal testing and finite element model correlation., • Familiarity with MIL-STD-810 vibration and shock testing or equivalent aerospace qualification standards., • Experience interpreting vibration data and identifying resonances, structural response characteristics, and failure modes., • Working knowledge of CAD software (NX preferred)., • Strong written and verbal communication skills with the ability to communicate technical findings to multidisciplinary teams., • Demonstrated ability to take ownership of technical work, drive projects independently, and deliver high-quality results in a fast-paced engineering environment., • Ability to obtain a Secret//Special Access Required (S//SAR) security clearance is desired.Preferred qualifications:, • M.S. or Ph.D. in Mechanical Engineering, Aerospace Engineering, Structural Engineering, or a related technical field with an emphasis in structural dynamics or vibration., • Experience designing vibration test fixtures and specialized dynamic test equipment., • Experience using vibration control and data acquisition platforms such as Data Physics, Brüel & Kjær (HBK), Crystal Instruments, m+p International, LMS/Simcenter Testlab, or similar systems., • Experience with finite element analysis software (ANSYS, Abaqus, Nastran, or equivalent) and test-analysis correlation., • Experience with strain gauge testing, digital image correlation (DIC), or other advanced structural measurement techniques., • Experience supporting aerospace, defense, robotics, UAV, or other high-reliability hardware development programs., • Experience with Design of Experiments (DOE), root cause analysis, and failure investigation. #LI-MS1 #LC Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. About Shield AI Shield AI develops AI-powered autonomy software and aircraft systems that protect service members and civilians by enabling intelligent operations in contested environments. As part of the X-BAT program, you will help develop and validate next-generation autonomous aircraft and mission-critical hardware that must perform reliably in demanding operational conditions. Job Description: Shield AI is seeking a Lead Mechanical Engineer, Hardware Test to lead the design and development of mechanical test infrastructure that enables rapid, rigorous validation of X-BAT hardware. This role will own the mechanical side of hardware testing, from concept through deployment, by building robust test stands, fixtures, and support equipment for engineering and production-level test activities. The ideal candidate is a strong technical leader who can manage a small team, establish sound engineering processes, and drive execution in a fast-paced hardware environment. Success in this role requires hands-on experience with mechanical design, fixture development, analysis, fabrication support, and cross-functional coordination in support of complex aerospace hardware test programs. What you'll do: • Lead a team of mechanical engineers in designing, building, and maintaining X-BAT hardware test stands and fixtures that support subsystem, integration, and qualification testing., • Perform core people-lead responsibilities, including work planning, technical direction, regular 1:1s, coaching, feedback, and performance development for the team., • Own requirements gathering, concept development, detailed design, and validation of multiple test stands used to evaluate X-BAT hardware and supporting subsystems., • Design fixtures, tooling, structural support hardware, and mechanical systems for engineering and production-level test applications., • Perform mechanical analyses such as hand calculations and FEA-informed assessments for strength, stiffness, thermal behavior, durability, and safety., • Define and apply industry-standard mechanical engineering practices, including GD&T, tolerance analysis, DFM/DFA, design reviews, release documentation, and configuration discipline., • Partner with test, electrical, avionics, manufacturing, and technician teams to integrate test hardware that is safe, repeatable, maintainable, and efficient to operate.nyc+1, • Support fabrication and build activities by working closely with internal shops and external vendors to release, procure, assemble, and iterate hardware quickly., • Drive troubleshooting and root-cause investigations when test hardware or units under test do not perform as expected and implement corrective design improvements., • Build team processes, documentation habits, and execution rhythms that improve quality, speed, and ownership across the hardware test function. Required qualifications:, • B.S. in Mechanical Engineering or a related STEM discipline; advanced degree is a plus., • Proven experience as a senior or lead mechanical engineer developing fixtures, tooling, or test stands for aerospace, defense, robotics, or other complex hardware systems.sf+1, • Prior experience leading engineers and building high-performing teams, including mentoring, setting expectations, and driving accountability., • Strong mechanical design fundamentals with the ability to take concepts through analysis, detailed design, fabrication, assembly, and checkout., • Proficiency with industry-standard CAD tools such as NX, SolidWorks, or CATIA, and experience releasing drawings for manufacture., • Familiarity with standard ME practices, including tolerance stack-up, materials selection, fastener design, load path evaluation, and safe machine/fixture design., • Hands-on experience in lab, prototype, or production environments, with the judgment to balance analytical rigor and practical execution., • Excellent communication skills and the ability to work across disciplines to translate ambiguous test needs into robust mechanical solutions., • Demonstrated ownership, strong work ethic, and a track record of improving processes, raising the bar, and delivering results under schedule pressure.Preferred qualifications:, • Experience with propulsion or engine-related test equipment, high-load structural fixtures, or mechanically complex aerospace ground test systems., • Familiarity with environmental or qualification testing and the facility interfaces those systems require, such as mounting, cooling, plumbing, or instrumentation accommodations., • Experience using analysis tools such as ANSYS, Abaqus, or Nastran to support test hardware design decisions., • Comfort working directly with technicians, machine shops, and test operators to refine designs and improve ease of use in the lab., • Ability to operate effectively in a fast-moving development program where priorities evolve and rapid iteration is expected. Compensation for this role is based on the position’s work location. The salary range shown reflects the listed location and may vary if the position is based in a different geographic market. Actual compensation will also consider factors such as experience, skills, qualifications, and internal equity. #LI-AD6 #LC Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. We are seeking a Staff ML Systems Engineer to architect and build the distributed infrastructure that powers large-scale machine learning workflows across the organization. This role sits at the intersection of machine learning, distributed systems, and platform engineering. You will be responsible for designing scalable systems that support data processing, model training, evaluation, and post-processing pipelines while enabling ML teams to efficiently develop, operate, and scale production-grade workflows. You will play a critical role in defining the architectural patterns, tooling, and infrastructure that underpin our machine learning platform. What You'll Get To Do • Design and build scalable distributed machine learning pipelines across data processing, model training, evaluation, and post-processing workflows., • Architect distributed execution systems, including parallelization strategies, workload scheduling, resource allocation, and fault tolerance mechanisms., • Develop reusable abstractions, frameworks, and libraries that simplify distributed pipeline development., • Optimize performance across distributed CPU and GPU environments, improving throughput, utilization, and reliability., • Design systems that effectively manage data partitioning, memory utilization, serialization overhead, and compute efficiency., • Partner closely with ML engineers, data engineers, and infrastructure teams to productionize research workflows and enable large-scale model development., • Establish best practices and engineering standards for distributed machine learning infrastructure., • Evaluate and guide decisions around distributed computing frameworks, infrastructure technologies, and system design trade-offs., • Improve observability, debugging, monitoring, and operational tooling for distributed systems at scale.What You Have, • 5+ years of experience building distributed systems, backend infrastructure, machine learning platforms, or large-scale data processing systems., • Strong Python programming skills, including experience with concurrency, performance optimization, and systems development., • Experience with distributed computing frameworks such as Ray, Spark, Dask, Flink, or similar technologies., • Experience designing and scaling data pipelines or machine learning workflows., • Strong system design skills with demonstrated expertise in scalability, reliability, and performance optimization., • Experience diagnosing and resolving bottlenecks in distributed environments., • Ability to work cross-functionally and drive technical decisions across multiple teams.The Extras That Set You Apart, • Experience building infrastructure for machine learning training and inference systems., • Familiarity with modern ML frameworks such as PyTorch or TensorFlow., • Experience with multi-node or multi-GPU training architectures, including DDP, FSDP, DeepSpeed, or similar technologies., • Experience operating Kubernetes-based infrastructure and large-scale cloud systems., • Deep understanding of distributed systems concepts including data locality, serialization costs, scheduling, and resource management., • Experience with distributed debugging, observability, and workflow orchestration platforms., • Proven ability to establish technical direction and influence architecture across organizations. Our salary range is highly competitive with the market, but we take into consideration an individual's background and experience in determining final salary. Base pay offered may vary depending on geographic location, job-related knowledge, skills, and experience. In addition to competitive compensation, FieldAI offers comprehensive benefits, equity participation, and the opportunity to contribute to cutting-edge advancements in AI and robotics. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are seeking a Staff Electromechanical Systems Advance Manufacturing Engineer to support the manufacturing and integration of complex motion-control and mechanically actuated systems across advanced aerospace and defense platforms. This role focuses on electromechanical assemblies involving actuators, hydraulics, pneumatics, motors, pumps, and integrated mechanical/electrical subsystems. The ideal candidate thrives in fast-paced production environments and has experience developing robust manufacturing processes for highly integrated systems. What you'll do: • Lead manufacturing engineering efforts for electromechanical subsystems and assemblies, • Develop and optimize manufacturing processes, tooling, work instructions, and production flows for:, • Actuators, • Motors and drives, • Hydraulic systems, • Pneumatic systems, • Pumps and fluid systems, • Powertrain components, • Motion-control assemblies, • Partner with design engineering to improve manufacturability, reliability, testability, and producibility, • Drive root cause investigations and corrective actions for electromechanical manufacturing issues, • Develop work instructions, quality standards, and inspection methods, • Support supplier qualification, process validation, and production readiness reviews, • Lead DFM/DFA reviews and transition new products into manufacturing, • Support system integration, validation, and troubleshooting activities, • Define manufacturing standards, process controls, and acceptance criteria, • Support failure analysis and reliability improvement initiatives, • Collaborate with production, quality, supply chain, and test engineering teams, • Mentor junior manufacturing engineersTools & skills:, • MES & QMS systems, • 3DEXPERIENCE / Teamcenter (PLM) systems, • Supplier manufacturing processes, • 5S/visual management, • Standard Operating Procedures (SOPs)Required qualifications:, • 7+ years of manufacturing engineering experience in experience in electromechanical systems, • Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, Mechatronics, or related field, • Experience in prototype manufacturing in a startup or rapid-growth environment., • Experience with:, • Actuators and motion systems, • Hydraulics and pneumatics, • Mechanical/electrical integration, • Precision mechanical assemblies, • Demonstrated ability to work in a fast-paced, high-pressure environment and adapt to changing priorities., • Knowledge of manufacturing process development and production scaling, • Strong understanding of DFM/DFA principles, • Experience with root cause analysis and corrective action methodologies Preferred qualifications:, • Aerospace, defense, robotics, or automotive industry experience, • Experience with servo systems and motor control assemblies, • Knowledge of GD&T and mechanical inspection methods, • Familiarity with lean manufacturing and production optimization, • Experience with ERP/MES systems and manufacturing data analysis, • Strong project management skills, including experience managing multiple priorities and deadlines, • Knowledge of quality standards, such as AS9100 or ISO 9001, • Proficiency in CAD software #LI-JM1 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWe are Fresh. Together let's build the future. With partners and clients, we practice strategy, design, development, and engineering to harness the power of technology and create what's next. Our cross-disciplinary approach blends human ingenuity and technology, empowering us to meet uncertainty with confidence. What got us to today won't get us to tomorrow, so we test our assumptions and always strive for growth. From the products we build to the partners we collaborate with; we believe people make the difference. And we do so as a workforce representative of the communities we serve, understanding that a diverse workforce strengthens our organization. We value diversity and support a positive and welcoming environment where all of our employees can thrive. Why join Fresh? Fresh Consulting is a fast-paced, design-led, software development and hardware engineering company, offering end-to-end services to help companies innovate. We bring together amazing UX designers, sophisticated developers, digital strategists, and top-notch engineers to help companies create fresh experiences that connect humans, systems, and machines. As we continue to grow, our internal teams need to grow with us—and that starts with you. See more at freshconsulting.com. Key Responsibilities: • Design and develop of custom automation equipment, fixtures, workstations, and electromechanical systems as part of a project development team;, • Create and revise 3D CAD models, detailed drawings, assemblies, and bills of materials for automation and mechatronic systems;, • Assist with the integration of robotics, machine vision, servo actuators, pneumatic components, sensors, and other automation hardware;, • Participate in concept development, component selection, design reviews, and design validation activities;, • Build, troubleshoot, and refine prototype and final-deliverable equipment;, • Support equipment commissioning, factory acceptance testing, site installation, startup, and operator training at customer sites;, • Work with internal team members and customer team members to ensure designs are aligned with project requirements;, • Document design changes, test results, and issues in a clear and timely manner;, • Identify and resolve mechanical, integration, and system performance issues during development and deployment;, • Follow company and customer requirements for machine safety, documentation, quality, and regulatory compliance;, • Support continuous improvement of engineering standards, templates, design practices, and build processes. Required Qualifications: • BS in Mechanical Engineering, MS Preferred;, • 3 to 5 years of relevant experience in automation, machine design, or robotics integration, with specific experience designing and deploying factory automation systems;, • Proficiency with SolidWorks for assembly modeling and part design;, • Proficiency in ASME Y14.5-2018 (R2024 and ISO 286;, • Understanding of industrial safety standards and machine risk reduction principles. Proven Experience: • 3-5 custom automation machines as principal or lead engineer;, • Cell layout and simulation;, • Linear motion systems consisting of ball-screws, linear ways and servo motors;, • Pick-and-place processes including feeder and gripper development;, • Work-holding development for fixed applications and transfer systems;, • Process development including:, • Fastening;, • Plastic joining such as ultrasonic welding;, • Laser processes such as welding or trimming;, • Welding and brazing;, • Soldering including laser or selective;, • Metal working processes such as cutting, shearing, machining, crimping or forming;, • Hazard evaluation and safety system design;, • Design and development of precision weldments, tooling and advanced alignment and work-holding technologies;, • Equipment commissioning, debug, or startup in a production or customer environment. Additional Skills: • Sizing and selecting servo motors and drive components;, • Self-aligning design principles;, • Basic understanding of robotics, servo motion systems, PLC based automation, and industrial controls integration;, • Machine vision systems, industrial cameras, lighting, and inspection applications;, • Familiarity with Beckhoff PLCs and robots made by Epson, Fanuc or ABB;, • BOM management and revision control;, • Tolerancing & design evaluation for tolerance stack-up, clearance and fit;, • Design for manufacturability;, • PFMEA;, • FEA;, • Knowledge of machine shop practices, including CNC milling, CNC turning, welding, grinding, and heat treatment.For a Washington-State-based role, the base salary hiring range for this position is $110,000 to $150,000. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Equal employment opportunity: All qualified persons will be considered for employment without regard to race, color, religion, sex, national origin, age, marital status, familial status, gender identity, sexual orientation, disability for which a reasonable accommodation can be made, or any other status protected by law. Assistance will be gladly provided upon request for any applicant with sensory or non-sensory disabilities. *Fresh Consulting is an E-Verify participating company Powered by JazzHR IGdCrTPoKt

Job Description At Orchard, we’re securing America’s food supply by building the AI Farmer that automates our nation’s farms. We are the industry leader, growing rapidly, and backed by more than $25 million from leading investors, including Quiet Capital, Shine Capital, and General Catalyst. Every year, hundreds of billions of dollars in crop value are lost because critical farming decisions are made using incomplete and imprecise data. We’re building the technology to change that. Our AI-powered camera systems mount to tractors and scan millions of trees, vines, and plants, capturing precise data on yield estimates, fruit size, crop health, disease, and more. We train edge vision AI models that analyze every plant and determine exactly what interventions and treatments it needs. That intelligence flows into FruitScope OS, our farm-management platform, where growers can understand their crops, make better decisions, and direct operations in the field. Today, Orchard’s technology is trusted by some of our nation’s largest farms. They use our products to grow higher-quality crops while reducing chemical use and operating costs, helping them farm more profitably and sustainably than ever before. Our Culture: Unshakeable Resilience – Our customers feed millions of people, and our customers depend on us. We are ultra-hardworking, never give up, and we do whatever it takes. Always Keep Moving – We move fast, waste no time, and have an extreme bias towards action. Progress compounds every day, and our impact is measured in decades. Improve Everything – At 1% success, we save millions of pounds of food from going to waste. If we are 100% successful we will impact the lives of billions of people across the world. Farmers First – Every team member spends at least a few days in the fields with our farmers each month. No Job Beneath Us – We’re low ego, own every outcome, and are all working towards the same goal. The Role: In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing. In addition, all of this happens fast, on compute running on the edge, in complex, real-world environments where our systems are subject to all sorts of conditions. We are looking for a Robotics Software Engineer to invent creative, practical, and robust solutions to real-world computer vision problems relating to perception and localization. About the role: Full-time, in-person role at our San Francisco or Seattle office Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium We move fast, and sometimes this means staying late or working weekends Our team is close-knit & highly driven, you’ll work directly with our CEO and entire team We’re deeply motivated by the impact we’re making – every line of code written or new system built means less food that goes to waste, and more people who are fed. What you’ll do: Develop robotics software that runs on our tractor-mounted, AI-powered camera systems, including advanced perception & localization algorithms. Implement intelligent systems and processes to interpret complex, real-world data (each system collects terabytes of raw image data every day). Fuse sensor data (stereo depth, GNSS, etc) to localize our camera system in a farm. Optimize code for fast edge computing performance (Python, C++). Be a generalist, supporting different parts of our software and hardware stack if needed. What makes you a good fit: Hands-on experience developing robotics software from the ground up. 2+ years of real-world industry experience in robotics, perception, or localization. Expertise in one or more of the following areas: computer vision, stereo depth perception, pose estimation, object detection, multi-object tracking, image processing, robotics software. Enthusiasm for taking on multiple roles and responsibilities as our company grows. You like fast-paced environments where you have high ownership over your work. Bonus Points: Experience deploying & optimizing robotics algorithms to run fast on embedded compute like NVIDIA Jetson. Familiarity with fusing data from GNSS, IMU, depth, and other sensors. If you're looking to help make a real, positive impact in the world by building the future of farming, come join us! Compensation Range: $130K - $190K

Job Description Entry Level- Mechanical Engineer Required: Master's degree in Mechanical Engineering or a related engineering discipline, OR a Bachelor's degree in Mechanical Engineering or a related engineering discipline with 2+ years of relevant mechanical engineering experience. This role focuses on designing, building, and improving mechanical solutions that support robotic system integration. The Mechanical Engineer will partner closely with cross-functional teams to drive projects from concept through deployment. The ideal candidate is a hands-on engineer who thrives in a fast-paced product development environment. This individual will be comfortable balancing design, prototyping, testing, vendor coordination, and project execution while navigating evolving priorities. Experience with robotics, vehicle systems, automotive products, or personal engineering projects is highly valued. We welcome both experienced engineers and highly motivated recent Master's graduates with strong hands-on project, research, or product development experience. Key Responsibilities • Create mechanical designs, detailed drawings, and production documentation using CAD software., • Develop and modify vehicle-integrated hardware solutions that support robotics systems deployed within delivery vans., • Partner with vendors and suppliers to support fabrication, sourcing, manufacturing, and design optimization., • Coordinate prototype and production builds, including scheduling, logistics, and hardware readiness., • Collaborate with mechanical, electrical, manufacturing, and robotics teams to ensure successful system integration., • Support hardware testing, troubleshooting, and design validation activities., • Drive projects from concept through deployment while balancing technical requirements, cost, manufacturability, and schedule constraints., • Manage engineering change requests, drawing updates, and design revisions throughout the product lifecycle., • Partner with internal stakeholders to identify and resolve mechanical design challenges in a rapidly evolving environment., • Provide hands-on support during prototype assembly, integration activities, and field testing as needed., • Track project timelines and deliverables while helping coordinate cross-functional activities to ensure successful execution.Basic Qualifications, • Master's degree in Mechanical Engineering or a related engineering discipline, OR a Bachelor's degree in Mechanical Engineering or a related engineering discipline with 2+ years of relevant mechanical engineering experience., • Experience creating 3D CAD models, engineering drawings, and design documentation through academic, internship, project, research, or professional experience., • Experience supporting fabrication, prototyping, manufacturing, or product development activities through industry experience, internships, research, or academic projects., • Understanding of common manufacturing processes, including machining, fabrication, assembly, and prototyping., • Experience developing mechanical systems from concept through implementation through professional, academic, or extracurricular engineering projects., • Strong troubleshooting and problem-solving skills., • Ability to work independently and make sound decisions in environments with evolving requirements and limited direction.Preferred Qualifications, • Master's degree in Mechanical Engineering or a related engineering discipline., • Experience supporting robotics, automotive, vehicle, transportation, or other electromechanical products., • Experience with mechanical system integration and hardware development., • Familiarity with prototype builds, testing, validation, and production support activities., • Experience coordinating project tasks and driving technical initiatives to completion., • Experience working in a fast-paced product development environment., • Hands-on experience with vehicles, robotics, fabrication, Formula SAE, Baja SAE, robotics competitions, makerspaces, research labs, or personal engineering projects. Work Environment This role is onsite in Bellevue, WA, requiring attendance 5 days a week. You will be part of a collaborative team of designers and engineers. Job Type & Location This is a Contract position based out of Seattle, WA. Pay and Benefits The pay range for this position is $55.00 - $65.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. 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) Job Type & Location This is a Contract position based out of Seattle, WA. Application Deadline This position is anticipated to close on Nov 7, 2026. Workplace Type This is a fully onsite position in Seattle,WA. 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 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service. 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.