Associate AI Software Engineer (Level 1)
Tasks
- Build neural search and differentiable optimization models for mission timelines
- Design and implement reinforcement learning and supervised learning algorithms
- Develop anomaly detection and response models for spacecraft telemetry
- Develop physics-based autonomy for mission planning and decision-making
- Fuse learned policies with classical guidance, navigation, and control filters
- Handle real time constraints in autonomy planning and controls
- Lead verification and flight readiness activities
- Participate in full software development life cycle including unit to system testing
- Perform novel algorithm research and development
- Port algorithms to embedded C++ and CUDA
- Prototype intelligent autonomy algorithms in Python and JAX
- Run Monte Carlo processor in the loop and hardware in the loop campaigns
Perks/Benefits
Skills/Tech-stack
Astrodynamics | C# | C++ | CUDA | Differentiable Optimization | Differentiable Programming | Digital Twin | Embedded Software | Guidance Navigation and Control | Guidance navigation | Hardware-in-the-loop | JAX | Machine Learning | Monte Carlo | Monte Carlo Simulation | Navigation and control | Neural Search | Physics-Based Modeling | Processor-in-the-loop | PyTorch | Python | Real Time | Real-time Systems | Reinforcement Learning | Supervised Learning | The Loop | Time Systems
Education
Roles
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