{"id":2761096,"url":"https://alion.io/job/shield-ai-staff-engineer-modelling-and-simulation-r6248","title":"Staff Engineer, Modelling and Simulation (R6248)","company":{"id":50,"name":"Shield AI","domain":"shield.ai","url":"https://alion.io/company/shield-ai","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":74,"open_postings":78,"ghost_share":0,"stale_share":0.846,"repost_share":0,"time_to_fill_p50_days":69,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Diego, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Verification & Validation","optional":false},{"name":"DO-178C","optional":true},{"name":"Gazebo","optional":true},{"name":"Isaac Sim","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-17T00:59:54Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-25T12:47:45Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Job Description:\nThe Hivemind Simulation team provides the simulation capabilities that power the AI Factory’s training and evaluation for the next generation autonomous AI pilots. The Simulation Platform team builds the simulation framework and foundational infrastructure that allows engineers to bring together simulators, scale experiments, and confidently evaluate autonomy before flight. The team’s work enables simulation applications to build on a shared, performant, and extensible foundation. Our guiding principle is simple: autonomy should not know it is in a simulation.\nAs a Staff Software Engineer on the Simulation Platform team, you will shape how autonomous pilots are tested by building and integrating simulators and developing Monte Carlo infrastructure. Drawing on experience building and running real-time aircraft simulations, you will enable teams to evaluate autonomy, guidance, navigation, and control (GNC), and runtime assurance (RTA) systems at scale. This individual contributor role includes driving technical direction and mentoring engineers.\nWhat you'll do:\nGrow the simulation framework’s ecosystem by integrating existing simulators and established standards, and by build new ones where needs are identified.\nBuild reusable Monte Carlo infrastructure for parameterization, execution, reproducibility, and collection of results across large simulation campaigns.\nDevelop multithreaded and multi-process simulation capabilities, addressing synchronization, timing, state exchange, and performance.\nPartner with autonomy, GNC, and RTA engineers as well as operators in the field to translate evaluation needs into simulation interfaces and infrastructure.\nSupport platform specific performance validation using physics models (e.g, 6DoF, 3DoF, etc.).\nSet technical direction, lead design reviews, and mentor engineers in simulation architecture and production software development.\nRequired qualifications:\nTypically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years with a Master’s degree; or 7 years with a PhD; or equivalent work experience.\nStrong proficiency in C++, with demonstrated experience designing, implementing, and maintaining production performance-critical software.\nDemonstrated experience building and running multithreaded/multiprocess real-time simulations involving aircraft dynamics.\nExperience both developing Monte Carlo infrastructure and using it to design, execute, and analyze simulation campaigns.\nDemonstrated ability to drive technical decisions, mentor engineers, and collaborate across software and domain engineering teams.\nExperience developing software/simulation under a defined V&V lifecycle\nPreferred qualifications:\nExperience supporting airworthiness certification efforts, including developing simulation evidence for verification, validation, and safety assessment (e.g., DO-178C, MIL-HDBK-516C).\nStrong Python skills for simulation tooling, experiment automation, and analysis.\nExperience with distributed simulation and model interoperability standards such as HLA, DIS, and FMI/FMU.\nExperience with industry-standard simulation tools such as JSBSim, FlightGear, X-Plane, Gazebo, Isaac Sim, or Simulink, or equivalent environments.\nExperience with closed-loop autonomy simulation, including sensor inputs and interfaces between autonomy and the simulated environment.\nExperience with uncertainty modeling, statistical analysis, and scenario coverage for Monte Carlo evaluation.\nTesting / Operating Safety Critical Software (e.g., 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