Northrop Grumman is seeking an AI Software Engineer (Level 3 or 4) to work on advanced autonomy algorithms for aerospace applications. The role requires expertise in reinforcement learning, machine learning, and software development, with a strong focus on collaboration and innovation in a dynamic work environment
Job Summary
Design and implement state-of-the-art RL / SL algorithms drawn from the latest literature.
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 via internal standards.
Matching Summary
Match Score: 85
Northrop Grumman is seeking an AI Software Engineer (Level 3 or 4) to work on advanced autonomy algorithms for aerospace applications. The role requires expertise in reinforcement learning, machine learning, and software development, with a strong focus on collaboration and innovation in a dynamic work environment.
Salary
Base: $125,300.00 - $206,800.00 (Level 3); Base: $156,400.00 - $258,100.00 (Level 4); Bonus/Equity: Discretionary bonus; Benefits: Health insurance, life and disability insurance, savings plan, Company paid holidays and PTO
Skills & Requirements
Must-have
Reinforcement Learning (RL)
supervised learning (SL)
Python/JAX/PyTorch prototyping
embedded C++/CUDA porting
physics-based autonomy
astrodynamics planning and controls
Nice-to-have
pioneering spirit
intellectual curiosity
cognitive diversity
national security mission areas
Key Requirements
Bachelor’s degree with 5+ years of AI engineering experience
Master’s degree with 3+ years of AI engineering experience
PhD with 1+ year of AI engineering experience
Bachelor’s degree with 8+ years of AI engineering experience (Level 4)
Master’s degree with 6+ years of AI engineering experience (Level 4)
PhD with 4+ years of AI engineering experience (Level 4)