3.11 Robotics Autonomy Engineer: Simulation
Team: Autonomy
Location: Irvine, CA
Commitment: Full time
Workplace Type: onsite
What You'll Get To Do
- Develop and integrate autonomy stacks (perception, planning, control) across simulation and real-world deployments.
- Build real-to-sim pipelines using 3D reconstruction (NeRF, Gaussian Splatting, photogrammetry) for realistic sensor and environment modeling.
- Deploy high-fidelity simulation workflows (Isaac Sim, Gazebo, ROS2) to validate autonomy algorithms.
- Collaborate with hardware teams to bring robots from lab to field — from system modeling to real-world testing.
What You Have
- Bachelor’s or Master’s in Robotics, Computer Science, Electrical Engineering, or related field.
- 2+ years of experience in robotics software development.
- Strong skills in Python, C++, and familiarity with ROS2.
- Hands-on experience in robotics simulation and field deployment.
- Understanding of autonomy modules — localization, perception, planning, and control.
- Experience with 3D reconstruction or domain adaptation is a plus.
What Will Set You Apart
- Experience with GPU programming (CUDA, PyTorch) or machine learning for robotics.
- Background in off-road / outdoor robotics or industrial settings.
- Familiarity with safety standards or real-time middleware.
Why Join
- Work at the frontier of autonomy — bridging the gap between simulation and reality.
- Build systems that go from digital twin to deployed robots in challenging real-world environments.
- Collaborate with a world-class, hands-on team focused on delivering real autonomy.
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