Senior Machine Learning Engineer, Radar & Remote Sensing

The role

This person will own the radar and ML technical stack. They will work across radar simulations, machine learning, scientific software, and compute infrastructure.

What you will do

• Act as a technical liaison between radar engineering, machine learning, software engineering, and operation teams.
• Develop and maintain radar and SAR simulation pipelines.
• Design, build and refine end-to-end ML models and pipelines.
• Utilize and analyze defense-focused datasets.
• Create radar products and technical deliverables for internal software teams and hardware partners.
• Design, configure, and optimize local compute environments.
• Support ML inference/training on constrained or embedded compute.
• Collaborate with RF/hardware partners to support internal RF code processing and productization.
• Help deploy and maintain web applications and internal tools on classified or restricted networks.
• Contribute to technical writing, SBIR proposals, and system documentation.

Required qualifications

• Active TS/SCI clearance.
• US Citizenship is required.
• Deep experience in Synthetic Aperture Radar, non-imaging radar, remote sensing, or signal processing.
• Solid understanding of radar/SAR fundamentals including I/Q and complex-valued data, simulation techniques, image formation algorithms and radar-to-image pipelines, and coherent vs incoherent processi
• Proven track record of experience with radar or remote sensing simulations.
• Strong proficiency with scientific Python libraries: NumPy, PyTorch, SciPy, Matplotlib, Jupyter, and related scientific stacks.
• Demonstrated ability to build end-to-end ML pipelines encompassing data preprocessing, training, evaluation, versioning, packaging, and hand-off to other engineers.
• Hands-on experience with GPU compute, such as PyTorch, CUDA, NVIDIA tooling, Remote GPU Servers, and Local GPU compute.
• Ability to explain radar/ML concepts to non-radar engineers and produce clear technical deliverables.
• Adherence to robust software engineering principles and best practices.
• Exceptional communication skills.
• Prolonged periods sitting at a desk and working on a computer.

Nice to have

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

Benefits

• competitive benefits

Before you apply

• Active TS/SCI clearance required.
• US Citizenship is required.

About the company

Founded in 1998 and headquartered in the Washington DC Metro area, NT Concepts is a private, mid-tier company with clients spanning the Intelligence and Defense communities. They deliver end-to-end data and technology solutions that advance the modernization, transformation, and automation of the national security mission.