{"id":624282,"url":"https://alion.io/job/fieldai-embedded-systems-engineer-autonomous-vehicles-federal","title":"Embedded Systems Engineer, Autonomous Vehicles (Federal)","company":{"id":672883,"name":"FieldAI","domain":"fieldai.com","url":"https://alion.io/company/fieldai","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":82,"open_postings":103,"ghost_share":0.223,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":62,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Hardware","role_family":"Hardware","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Irvine, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":240000,"currency":"USD","period":"year","gross":null,"usd_annual":240000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Embodied AI","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"ROS","optional":false},{"name":"RTOS","optional":false},{"name":"Ubuntu","optional":false}],"status":"live","first_seen_at":"2026-05-12T03:49:45Z","employer_posted_date":"2026-05-12","last_verified_at":"2026-11-03T09:58:38Z","board_verified":true,"closed_at":null,"days_open":175,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":175},"description":"Who are We?\nField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.\nLearn more at https://fieldai.com.\nAbout the Job\nAt FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We’re looking for an Embedded Systems Engineer to support design, implementation, integration, and , deployment of wheeled robotic platforms across both federal and commercial programs\nEmbedded Systems Role:\nAs an Embedded Systems Engineer on the Federal Team at Field AI, you will contribute to the architecture, configuration, and validation of the compute systems that serve as the backbone for our robotic platforms. Your work will span low-level firmware, Linux-based configuration, and system performance analysis across ARM and x86 SBC platforms. From firmware on microcontrollers to ROS data streams on SBCs, you’ll ensure the entire compute stack is optimized, reliable, and robust under field conditions. You will collaborate closely with the sensor, electrical, and autonomy teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on computing systems you will likely contribute across all hardware domains.\nWhat You Will Get To Do\n1. Compute System Design\nCompute Architecture: Architect and configure embedded compute platforms (ARM/x86, SBCs) for robotic applications including evaluation, testing and selection.\n\nFirmware & Software: Set up and customize Linux environments (Ubuntu, Yocto, JetPack), middleware (ROS), and I/O interfaces.\n\nSystems Integration: Integrate compute with sensing and robotic systems. Analyze thermal, power, and bandwidth constraints to meet deployment and runtime requirements.\n\n2. Compute System Implementation\nCommunications: Bring up sensors and peripherals using a range of protocols (USB, Ethernet, GMSL, I²C, SPI, CAN).\n\nData Pipelines: Build and maintain drivers, ROS nodes, and data acquisition pipelines for new hardware components.\n\nSystems Configuration: Create configuration files, launch scripts, and firmware update workflows.\n\nTesting: Conduct system-level tests such as thermal profiling, latency measurement, and power draw analysis.\n\nDocumentation & Budgets: Maintain flashing procedures, I/O maps, and debug kits. Manage compute and I/O budgets.\n\n3. Compute System Production & Servicing\nBuild: Work with vendors to procure compute hardware. Develop QA checks for incoming units. Support payload integration and scaling.\n\nDebug: Support root-cause analysis for boot, connectivity, and throughput issues.\n\nDiagnostics Monitoring: Implement watchdogs, health checks, and other evaluation tools. Monitor compute system performance across CPU, GPU, memory, I/O, and networking.\n\nWhat You Have\nEducation: B.S., M.S., or Ph.D. in Computer Engineering, Robotics, Electrical Engineering, or a related field.\n\nExperience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers.\n\nEmbedded Systems: Experience with embedded platforms (Jetson, Raspberry Pi, x86 NUCs, custom SBCs).\n\nLinux: Proficiency with Linux system configuration, scripting, and headless deployment tools.\n\nFirmware: Strong skills in firmware development for microcontrollers, including bare-metal and RTOS environments.\n\nProgramming: Proficient in C++ and Python for embedded and application-level development.\n\nCommunication Protocols: Experience with USB, Ethernet, I²C, SPI, CAN, GMSL, and similar interfaces.\n\nROS Ecosystem: Familiarity with ROS, device drivers, TF, and data streaming/publishing.\n\nDebugging: Comfort with hardware/software debugging tools (oscilloscopes, logs, power monitors, analyzers).\n\nSystems Thinking: Ability to diagnose and optimize across compute, thermal, timing, and I/O layers.\n\nWhat Will Set You Apart\nScaling: Experience taking systems from prototype to large scale production.\n\nField Environments: Experience developing systems for harsh field environments.\n\nDeployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots.\n\nSystems Level Robotics: Fluency across software, electrical, and mechanical systems.\n\nAutonomy Software: Knowledge of autonomy stacks used in robotics. As well as how compute performance impacts autonomy algorithms.\n\nThis position is for our FieldAI Federal Team. This team works on projects connected to the U.S. government which requires U.S. Person eligibility. A U.S. Person as defined by 22 C.F.R §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee.\nCompensation\nThe salary range for this role is $70,000-$300,000.The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time off.\nField AI Onsite Work Philosophy\nAt Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.","description_format":"text","description_chars":5872,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":["Equity","Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Smart Mobility","Electrical & Electronic Engineering","Robotics AI","Industrial AI"],"lifecycle":[{"event":"open","at":"2026-09-10T18:57:39Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 37","filings_12m":37,"filings_prev_12m":9,"green_card_filings_12m":0,"median_offered_wage_usd":162500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":1}],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.443,"p_room":0.28,"age_days":175,"expected_fill_days":62,"reasons":["conf:0","velocity","win:tail","crowd:junior,brand"],"computed_at":"2026-11-03T05:54:40Z"},"pay":{"stated_usd_annual":240000,"is_top_pay":true},"html_url":"https://alion.io/job/fieldai-embedded-systems-engineer-autonomous-vehicles-federal","json_url":"https://alion.io/job/fieldai-embedded-systems-engineer-autonomous-vehicles-federal.json","meta":{"generated_at":"2026-11-03T12:35:15Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":17422,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":672883},"rest":"https://alion.io/mcp/rest/get_company?id=672883"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffieldai-embedded-systems-engineer-autonomous-vehicles-federal"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ffieldai-embedded-systems-engineer-autonomous-vehicles-federal"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ffieldai-embedded-systems-engineer-autonomous-vehicles-federal"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/fieldai-embedded-systems-engineer-autonomous-vehicles-federal\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffieldai-embedded-systems-engineer-autonomous-vehicles-federal"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":624282}},{"tool":"search_jobs","arguments":{"company":"fieldai.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":624282},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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