Embedded Software Engineer (Data Platform), Autonomy
South San Francisco, California, USA
USD 175K-210K Mid-level Full Time
Tasks
- Build real time trajectory generation and decision making
- Define interfaces with perception and controls
- Design collision avoidance and multi agent planning
- Extend autonomy stack for new aircraft and payloads
- Mine fleet data to improve safety metrics and models
- Perform SIL HIL and log replay for verification
- Perform joint optimization for safety energy time reliability
- Plan under uncertainty with complex dynamics
- Reduce cost latency and improve reliability
- Validate autonomy using scenario libraries and simulation
Perks/Benefits
- Annual performance bonuses
- Dental insurance
- Equity compensation
- Medical insurance
- Paid time off
- Vision insurance
Skills/Tech-stack
A Star | Agent planning | Anytime Algorithms | C# | C++ | Chance constraints | Collision Avoidance | Convex Optimization | Decision Making | Deconfliction | Embedded Systems | Fault Tolerance | Fault injection | HIL | Joint Optimization | Linux | Log replay | MPC | Model-Predictive Control | Multi-Agent | Multi-agent Planning | Non-Convex Optimization | Partial Observability | Predictive control | RRT* | Real Time | Real-time Systems | Robust Optimization | Rust | Sampling-based Planning | Search-based planning | Sensor Fault Tolerance | SiL | Simulation | Time Systems | Trajectory Planning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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