Anduril Industries builds advanced autonomous systems and defense technology to protect US and allied forces. Creating the future of national security through AI, robotics, and cutting-edge engineering. Backed by General Catalyst, Lightspeed and a16z.
About the role
We are looking for a Systems Engineer - Machine Learning to join our rapidly growing team in Huntsville, AL or Colorado Springs, CO. In this role, you will be responsible for bridging systems engineering, applied physics, and mathematical 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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Currently possesses and is able to maintain an active U.S. Secret security clearance
- Experience: 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 a related quantitative field
- Core Foundation: Strong mastery of applied mathematics, physics, and programming
- Security Clearance: Active U.S. Secret clearance required
More about this role
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
The Space Ground Systems Engineering team solves the mathematical, physical, and algorithmic problems at the core of next-generation missile defense and fire control systems. We tackle dynamic battle-management challenges: fusing real-time sensor streams into track data, optimizing weapon-target assignment under uncertainty, and feeding high-confidence fire-control schedules back to the warfighter.
We are looking for a Systems Engineer - Machine Learning to join our...
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