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# Machine Learning Engineer, Radar & Remote Sensing

- **Company:** NT Concepts
- **Location:** Chantilly, VA, United States
- **Experience:** Expert
- **Salary:** $131,376.0 - $243,984.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, 3d Models, Computer-Aided Design, Artificial Intelligence, Computer Clusters, Field-Programmable Gate Array (FPGA), Hardware-In-The-Loop Simulation, Machine Learning, Sensor Fusion, Software Engineering, Large Language Models, Machine Learning Operations, Network Server, Software Version Control
- **Published:** August 23, 2026
- **Apply:** https://jobs.military.com/career/317065/senior-machine-learning-engineer-radar-remote-sensing-virginia-va-chantilly

## About the Role

Ability to explain radar/ML concepts to non-radar engineers and produce clear technical deliverables\n

Adherence to robust software engineering principles and best practices (e.g. clean code, testing, version control).\n

Exceptional communication skills, with the ability to clearly articulate complex radar and ML concepts to both technical and non-technical audiences, and to produce high-quality technical documentation and deliverables.\n\n
\nPreferred Skills/Experience:\n
\n
\n

 * Experience with Xpatch simulations specifically\n
 * Experience with CAD and or artistic 3D modeling skills\n
 * Experience with EO/IR or multi-sensor fusion\n
 * Experience with adversarial imaging AI\n
 * Understanding of RFSoCs, FPGAs, HLS, quantization, or edge deployment constraints\n
 * Experience designing or optimizing local compute servers / GPU clusters / eGPU configurations\n
 * Experience working with RF hardware partners or hardware-in-the-loop systems\n
 * Experience with LLMs, LoRA fine-tuning, or local model deployment for niche tasks\n
 * Experience with container computing and orchestration\n



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