Embedded Software Engineer (Data Platform), Autonomy
South San Francisco, California, USA
USD 175K-210K Mid-level Full Time
Tasks
- Build decision making for autonomous flight
- Build real time trajectory generation
- Deconflict multi agent airspace operations
- Define interfaces with perception and controls
- Design collision avoidance and multi agent planning
- Develop scenario libraries and SIL HIL testing
- Extend autonomy stack for new aircraft and payloads
- Implement fault injection for autonomy validation
- Improve models and mitigate long tail failures
- Mine real fleet data for safety metric validation
- Perform joint optimization for safety energy time reliability
- Plan in uncertain environments with complex dynamics
- Reduce cost and latency while improving reliability
- Run large scale simulation and log replay
Perks/Benefits
- Dental insurance
- Equity compensation
- Medical insurance
- Paid time off
- Performance bonus
- Vision insurance
Skills/Tech-stack
A Star | Agent planning | Airspace management | C# | C++ | Chance constraints | Collision Avoidance | Convex Optimization | Deconfliction | Embedded Systems | Fault Tolerance | Fault injection | Fault-tolerant | Fault-tolerant systems | Linux | Log replay | Model-Predictive Control | Motion Planning | Multi-Agent | Multi-agent Planning | Non-Convex Optimization | Optimization | Partial Observability | Predictive control | RRT* | Real Time | Real-time Systems | Robust Control | Rust | SIL/HIL | Sampling-based Planning | Search Algorithms | Sensor Fault Tolerance | Simulation | Time Systems | Trajectory Optimization | Uncertainty Modeling | Vectorization | Warm Starts
Education
Regions
Countries
States
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