Systems Engineer - Machine Learning

LinuxCareers; Colorado Springs (CO); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Equity grants

Health benefits

Job summary

Anduril Industries is seeking a Systems Engineer - Machine Learning to bridge systems engineering, applied physics, and ML for missile defense solutions. You will work on track fusion, threat-assignment, and sensor data integration in a highly capable defense tech environment.

The role requires an active U.S. Secret clearance, 5+ years of experience, and strong skills in Python/C++, PyTorch or TensorFlow, and physics-informed modeling.

Qualifications

• Active U.S. Secret security clearance is required.
• 5+ years of engineering experience.
• Bachelor's, Master's, or Ph.D. in a quantitative field such as Aerospace Engineering, Applied Mathematics, Physics, Electrical Engineering, ML/AI.
• Strong mastery of applied mathematics, physics, and programming.
• Proficiency in Python and/or C++, PyTorch or TensorFlow, GPU coding, multi-agent reinforcement learning, and algorithm development.
• Experience with Windows and Linux.

Responsibilities

• Research, develop, and deploy ML models including generative AI, RL, DNNs, and physics-based models.
• Formulate and solve complex physics problems using mathematical techniques and algorithms.
• Work on sensor fusion, track fusion, and threat classification components.
• Design trade studies, sensitivity analyses, and parametric evaluations to validate performance.
• Translate mathematical equations into clean, functional code in Python or C++ for modeling and simulation.

Skills

Python programming

C++ programming

Machine learning

Reinforcement learning

GPU programming

Mathematical modeling

Education

Bachelor's degree

Master's degree

Ph.D.

Tools

PyTorch

TensorFlow

Windows

Linux

Job description

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