San JoseFull TimeEngineering
Remotely
simulationsynthetic datagazeboairsim6 dofx planejsbsimphysics based rendering
Job Description
📋 Description
- Develop simulation environments, aircraft dynamics, sensor models, and the orchestration layer
- Build tooling for large-scale, procedural, automated scenario generation and rendering
- Generate synthetic sensor and telemetry data for physical AI training via physics-based rendering
- Define evaluation metrics that turn simulation output into data-driven decisions
- Partner with flight test teams to keep simulated scenarios grounded in real-world conditions
- Set platform architecture and roadmap ahead of team growth
🎯 Requirements
- 5+ years in simulation, robotics, or backend infrastructure
- MS./Ph.D. in Computer Science, Robotics, or related field, or equivalent (exceptional B.S.
- Experience architecting simulation or orchestration/configuration layers across a large codebase
- Experience building (tool selection, deployment, scaling) synthetic data and evaluation pipelines
- Working knowledge of AI development methods (data flywheels, eval-driven iteration)
- Comfort with ambiguity and evolving scopes
🎁 Benefits
- Bonus qualifications: Neural rendering or generative AI for synthetic data (e.g. Gaussian Splatting)
- Bonus qualifications: Integrating heterogeneous data (satellite, GIS, camera, telemetry)
- Bonus qualifications: Simulation for embodied/physical AI (aerial, ground, indoor robotics)
- Bonus qualifications: Flight dynamics / 6-DOF simulation or aerospace M&S tools (JSBSim
- Bonus qualifications: Safety-critical or regulated engineering background (aerospace, automotive
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