Northrop Grumman is seeking AI researchers and engineers with deep knowledge of Computer Science and a deep focus on Reinforcement Learning (RL) to design and implement intelligent autonomy algorithms for their space and aerospace programs to solve interesting, complex problems which protect our nation.
Requirements
- Strong physics-based numerical modeling and AI/ML experience
- Industry knowledge and/or foundational education of AI, with a focus on ML, RL, or SL model development
- Proven track record of novel algorithm development (e.g., first-author papers, open-source releases, or production deployments)
- Hands-on coding of learning algorithms from primary literature—comfortable translating equations to optimized code
- Demonstrated physics-based AI application experience (e.g. for spacecraft, robotics, autonomous aircraft, drones, rockets, or similar) in academia or industry
- Proven experience in developing scalable RL/SL and other ML pipelines, with a track record of designing novel algorithms tailored to complex, real-world dynamics.
- Python, CUDA, C/C++ programming experience
Responsibilities
- Design and implement state-of-the-art RL / SL algorithms drawn from the latest literature.
- Rapidly prototype in Python/JAX/PyTorch, then port to embedded C++/CUDA.
- Apply supervised learning, reinforcement learning, and other AI/ML techniques to high-fidelity astrodynamics planning and controls problems, including real-time constraint handling.
- Fuse learned policies with classical GNC filters for robust guidance, navigation, and closed-loop control.
- Build models that re-optimize delta-V, power, and comm- (among other) constrained timelines using neural search or differentiable optimization.
- Develop AI solutions for real-time anomaly detection and response to ensuring robust and adaptive spacecraft operations.
- Lead Monte-Carlo, Processor-in-the-Loop, Hardware-in-the-Loop, and digital twin campaigns to prove safety and performance per internal standards.
Other
- RELOCATION ASSISTANCE: No relocation assistance available
- CLEARANCE TYPE: None
- TRAVEL: Yes, 10% of the Time
- Strong interest in space, national security, and related mission areas
- U.S. citizen
