Principal / Sr. Principal AI Software Engineer
Tasks
- Design and implement reinforcement learning and supervised learning algorithms
- Develop AI for real-time anomaly detection and response
- Develop physics-based autonomy for mission planning and decision-making
- Fuse learned policies with classical guidance, navigation, and control filters
- Handle real time constraints for AI and ML models
- Lead verification and flight readiness
- Perform novel algorithm research and development
- Prototype in Python and JAX and PyTorch and port to embedded C plus plus and CUDA
- Reoptimize delta v power and communication schedules using neural search or differentiable optimization
- Run Monte Carlo and processor in the loop and hardware in the loop and digital twin campaigns
- Select corrective actions using hierarchical or policy gradient reinforcement learning
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Astrodynamics | C plus plus | C# | CUDA | Computer Vision | Differentiable Optimization | Digital Twin | Embedded Software | Flight Software | Gradient methods | Guidance Navigation and Control | Guidance navigation | Hardware-in-the-loop | JAX | Machine Learning | Monte Carlo | Navigation and control | Neural Search | Physics-Based Modeling | Policy Gradient | Policy Gradient Methods | Processor-in-the-loop | PyTorch | Python | Reinforcement Learning | Simulation | Space Flight Software | Space flight | Supervised Learning | The Loop | Verification and Validation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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