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 for autonomous flight
- Define interfaces with perception and controls
- Design collision avoidance and multi agent planning
- Extend autonomy stack for new aircraft and payloads
- Plan in uncertain environments with chance constraints and robustness
- Prove autonomy in simulation using scenario libraries SIL HIL and fault injection
- Reduce cost and latency while improving reliability
- Tackle joint optimization for safety energy time and reliability
- Validate safety metrics using fleet data
Perks/Benefits
Skills/Tech-stack
Agent planning | C# | C++ | Chance constraints | Collision Avoidance | Convex Optimization | Fault Tolerance | Fault injection | Heuristics | Linux | Log replay | Model-Predictive Control | Motion Planning | Multi-Agent | Multi-agent Planning | Multi-agent deconfliction | Non-Convex Optimization | Partial Observability | Predictive control | Real Time | Real-time Systems | Robustness | Rust | SIL/HIL | Sampling Algorithms | Search-based planning | Sensor fusion | Simulation | Time Systems | Trajectory Optimization | Vectorization | Warm Starts
Education
Regions
Countries
States
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