AI Software Engineer – Level 3 or 4
Tasks
- Build neural search and differentiable optimization models for constrained scheduling
- Design and implement reinforcement learning and supervised learning algorithms
- Develop anomaly detection models and corrective action policies
- Develop physics-based autonomy for mission planning and decision-making
- Fuse learned policies with classical guidance, navigation, and control filters
- Lead verification and flight readiness
- Perform novel algorithm R and D
- Port models to embedded C and CUDA
- Prototype in Python and JAX and PyTorch
- Run Monte Carlo processor in the loop hardware in the loop and digital twin campaigns
- Support full software development life cycle
Perks/Benefits
Skills/Tech-stack
Astrodynamics | C# | C++ | CUDA | Differentiable Optimization | Digital Twin | Embedded Software | Guidance Navigation and Control | Guidance navigation | Hardware-in-the-loop | JAX | Linux | Machine Learning | Monte Carlo | Monte Carlo Simulation | Navigation and control | Neural Networks | Neural Search | Physics-Based Modeling | Processor-in-the-loop | PyTorch | Python | Reinforcement Learning | Simulation Software | Supervised Learning | The Loop | Windows Scripting
Education
Roles
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