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Anduril Industries is a defense technology company transforming U.S. and allied military capabilities through advanced technology. The Space Ground Systems Engineering team solves mathematical, physical, and algorithmic problems at the core of next-generation missile defense and fire control systems, tackling dynamic battle-management challenges including sensor fusion, track data optimization, weapon-target assignment, and fire-control scheduling.
You will join as a Systems Engineer - Machine Learning, bridging systems engineering, applied physics, and machine learning to solve complex missile defense problems. You will design track-fusion pipelines, build threat-assignment algorithms, and conduct deep sensitivity analyses across complex architectures. This role requires proficiency in applied math, physics, and algorithm development using Python or C++, alongside understanding of sensor data and battle management workflows.
Key responsibilities include:
- Research, develop, and deploy complex machine learning models such as generative AI, reinforcement learning, deep neural networks, and physics-based neural models
- Formulate and solve complex physics problems using mathematical techniques, including object detection, tracking, discrimination, weapon-target assignment (WTA), sensor allocation, and fire control scheduling
- 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 (Python/C++) for modeling, simulation, and algorithm verification
- Bridge the gap between low-level physics/threat intelligence inputs and high-level mission outputs
You will operate autonomously to deliver verified, defensible technical solutions, moving quickly and diving deep into the mathematics behind the system.
REQUIREMENTS:
- Currently possesses and is able to maintain an active U.S. Secret security clearance (required)
- 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, experience implementing foundation models, and algorithm development
- Experience with Windows, Linux, MATLAB
- Exposure to missile defense concepts, radar/sensor processing, flight dynamics, threat intelligence, discrimination algorithms, sensor tracking algorithms, kill assessment, integrated algorithms into operational systems, or fire control systems (GMD, NGI, SM3, Aegis, IBCS, C2BMC, SBI)
- Military or defense operations experience is a strong plus
PREFERRED:
- Top Secret / SCI clearance eligibility
