AI Software Engineer – Level 3
Tasks
- Build models for differentiable optimization and neural search
- Design and implement reinforcement learning and supervised learning algorithms
- Develop physics-based autonomy for mission planning and decision-making
- Execute software development life cycle including testing integration and release
- Fuse learned policies with classical GNC filters
- Implement AI for anomaly detection and response
- Lead verification and flight readiness
- Perform algorithm research and development
- Prototype in Python and JAX and PyTorch then port to embedded C++ and CUDA
- Run Monte Carlo and processor in the loop and hardware in the loop and digital twin campaigns
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Astrodynamics | C# | C++ | CUDA | Computer Vision | Deep learning | Differentiable Optimization | Digital Twin | Embedded Software | Flight Software | GNC Filters | Guidance Navigation and Control | Guidance navigation | Hardware-in-the-loop | JAX | Machine Learning | Monte Carlo | Navigation and control | Neural Search | Physics-Based Modeling | Processor-in-the-loop | PyTorch | Python | Reinforcement Learning | Simulation | Space Flight Software | Space flight | Supervised Learning | The Loop
Education
Roles
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