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Senior Simulation & Autonomy Engineer (Integration, State Estimation & Perception)Maritime Tactical Systems • San Diego, California, United States
Postuler Maintenant
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Senior Simulation & Autonomy Engineer (Integration, State Estimation & Perception)

Maritime Tactical Systems
  • US
    San Diego, California, United States
  • US
    San Diego, California, United States
Postuler Maintenant

À propos

Summary
* Lead integration of autonomy codebase into synthetic testbeds and hardware-in-theloop (HITL) setups for unmanned surface vessels (USVs). Build simulators that exercise onboard autonomy, sensors, and control loops end-to-end.
Key responsibilities
* Integrate autonomy software (navigation, planning, control, perception pipelines) with simulators and CI/HITL test infrastructure.
* Design, implement, and maintain physics-consistent synthetic environments that align dynamics, sensor models, state-estimation, and render/update loops for realistic closed-loop testing.
* Develop and validate sensor models (GNSS, IMU, DVL, radar, lidar, camera) and measurement noise models; tune them to match real-vehicle logs.
* Implement and test state estimation (EKF/UKF/particle filters) and perception algorithms in the loop; quantify performance and failure modes.
* Create repeatable test scenarios, automated test harnesses, and performance metrics for autonomy regression testing.
* Collaborate with software, controls, and UX teams to ensure simulation outputs match onboard expectations and support debugging (replay, logging, visualization).
* Support CI pipelines: containerized sims, scenario libraries, test orchestration, and result dashboards.
* Mentor junior engineers; produce documentation and reproducible experiment artifacts.
Required qualifications
* BS or MS in Robotics, CS, EE, Mechanical Engineering, or equivalent.
* 5+ years experience in robotics/autonomy/software integration with demonstrable work on simulation and state estimation.
* Strong C++ and/or Python proficiency; experience with ROS/ROS2 and/or middleware used in robotics.
* Hands-on with state estimation tools (EKF/UKF/particle filters), sensor fusion, and perception stacks.
* Experience building or integrating simulators (Gazebo, Webots, MuJoCo, Unity/Unreal integrations, custom C++/Python sim).
* Strong understanding of rigid-body dynamics, numerical integration, and discrete-time control loops.
* Experience with version control, CI/CD, Docker, and automated testing frameworks.
* Comfortable working with real vehicle logs, calibrations, and sensor synchronization.
Nice-to-have
* Prior USV/maritime robotics experience.
* Experience with hardware-in-the-loop (HIL/HITL), real-time systems.
* Familiarity with Unreal Engine or Unity for high-fidelity simulation.
* Experience with GPU-based sensor simulation (ray tracing, lidar sims).
* Experience with data visualization and UI integrations for test playback.
Culture & soft skills
* Clear communicator, collaborative with product and UX teams.
* Pragmatic engineer who prioritizes reproducible, measurable tests.
* Comfortable in startup/hardware-in-the-loop environment.
* Must be US Citizen and able to pass a background check and drug test
Pay: From $150,000.00 per year
Benefits:
* 401(k) matching
* Dental insurance
* Health insurance
* Life insurance
* Vision insurance
Work Location: Hybrid remote in San Diego, CA 92172
  • San Diego, California, United States

Compétences linguistiques

  • English
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