Systems Engineer - Machine Learning

Anduril Industries is a defense technology company building AI-powered military systems. This Systems Engineer - Machine Learning role bridges systems engineering, applied physics, and machine learning to solve complex missile defense problems, including track-fusion pipelines, threat-assignment algorithms, and sensor data integration.

What You'll Do

• Research, develop, and deploy complex machine learning models including generative AI, reinforcement learning, deep neural networks, and physics-based neural models
• Formulate and solve complex physics problems using mathematical techniques and algorithm design
• Work on sensor fusion and tracking components that ingest raw/processed sensor data, execute track fusion, and perform threat classification
• Design, conduct, and defend rigorous trade studies, sensitivity analyses, and parametric evaluations to determine system boundaries and validate performance
• Rapidly translate mathematical equations into clean, functional code using Python or C++ for modeling, simulation, and algorithm verification

What You Need

• Currently possess and maintain an active U.S. Secret security clearance
• 5+ years of relevant engineering experience
• Bachelor's, Master's, or Ph.D. in Aerospace Engineering, Applied Mathematics, Physics, Electrical Engineering, Machine Learning, Artificial Intelligence, or related quantitative field
• Strong mastery of applied mathematics, physics, and programming
• Proficiency in Python and/or C++, PyTorch or TensorFlow, GPU coding, multi-agent reinforcement learning, mathematical modeling, and algorithm development
• Experience with Windows and Linux

Nice to Have

• Top Secret / SCI clearance eligibility
• Military or defense operations experience

• Highly competitive equity grants included in majority of full-time offers
• top-tier benefits package available at little to no cost to employees including health and recovery coverage