Senior Radar ML Engineer: SAR Simulation & Pipelines

Jobtailor; Chantilly (VA); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor seeks a senior radar/ML engineer to own the radar/SAR simulation stack and build end-to-end ML pipelines for radar tasks. You will liaise across radar engineering, ML, software engineering, and operations, delivering deployable models, synthetic data pipelines, and production-grade APIs.

You will work with constrained compute, RFSoCs, FPGAs, and GPU servers while contributing to SBIR proposals and system docs. Strong communication and writing are essential.

Qualifications

• Active TS/SCI clearance required.
• US Citizenship required.
• Deep experience in Synthetic Aperture Radar, non-imaging radar, remote sensing, or signal processing.
• Strong understanding of radar/SAR fundamentals, including I/Q and complex-valued data, simulation techniques, image formation algorithms and radar-to-image pipelines.
• Proven experience with radar or remote sensing simulations.
• Proficiency with scientific Python libraries (NumPy, PyTorch, SciPy, Matplotlib, Jupyter).
• Ability to build end-to-end ML pipelines (preprocessing, training, evaluation, packaging).
• Hands-on experience with GPU compute, CUDA, NVIDIA tooling, remote GPUs, and local GPU compute.
• Ability to explain radar/ML concepts to non-radar engineers and produce clear technical deliverables.
• Adherence to software engineering best practices (clean code, testing, version control).
• Exceptional communication and technical writing skills.
• Willingness to sit long hours at a desk and lift up to 10–15 pounds.

Responsibilities

• Own the radar and ML technical stack across radar/SAR simulation, ML, and compute infrastructure.
• Act as a technical liaison between radar engineering, ML, software engineering, and operations teams.
• Develop and maintain radar and SAR simulation pipelines, including synthetic data generation, scene/return modeling, and validation workflows.
• Design, build, and refine end-to-end ML models and pipelines for radar tasks.
• Perform preprocessing, training, evaluation, and deployment-ready packaging.
• Utilize and analyze radar, 3D model, EO/IR, and sensing defense datasets.
• Create radar products and technical deliverables including APIs, data schemas, containers, documentation, and integration guidance.
• Design, configure, and optimize local compute environments, GPU/eGPU, remote compute, storage, networking, and benchmarking.
• Support ML inference/training on constrained/embedded compute (RFSoCs, FPGAs).
• Collaborate with RF/hardware partners on RF code processing, radar outputs, and deployable radar hardware productization.
• Help deploy and maintain web apps and internal tools on classified networks.
• Contribute to technical writing, SBIR proposals, and system documentation.

Skills

Radar Simulation

Machine Learning

NumPy

PyTorch

SciPy

CUDA

NVIDIA Tooling

Remote GPU Servers

Containerization

APIs

Version Control

Data Preprocessing

Image Formation

Scene/Return Modeling

Tools

Git

Python

Job description

Jobtailor seeks a senior radar/ML engineer to own the radar/SAR simulation stack and build end-to-end ML pipelines for radar tasks. You will liaise across radar engineering, ML, software engineering, and operations, delivering deployable models, synthetic data pipelines, and production-grade APIs.

You will work with constrained compute, RFSoCs, FPGAs, and GPU servers while contributing to SBIR proposals and system docs. Strong communication and writing are essential.