Senior Machine Learning Engineer, Radar & Remote Sensing

NT Concepts

Senior machine learning engineer owning radar/SAR simulation and ML pipelines. Building scientific software and compute infrastructure for NT Concepts’ national security and defense clients.

Posted 8/20/2026full-timeChantilly • Virginia • 🇺🇸 United StatesSenior💰 $131,376 - $243,984 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Synthetic Aperture Radar and machine learning, with a strong ability to develop and maintain radar simulation pipelines and end-to-end ML models. Proficient in scientific Python libraries and GPU compute, with a focus on producing clear technical documentation and deliverables.

Highest-signal resume keywords

Synthetic Aperture Radar ExpertiseEnd-to-End ML Pipeline DevelopmentScientific Python ProficiencyGPU Compute ExperienceTechnical Documentation Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Radar SimulationMachine Learning ModelsData PreprocessingImage Formation AlgorithmsVersion ControlTesting Best PracticesSynthetic Data GenerationScene/Return ModelingCoherent ProcessingNon-Imaging Radar

Soft Skills

Exceptional Communication SkillsTechnical Writing

Tools & Technologies

NumPyPyTorchSciPyMatplotlibJupyterCUDANVIDIA ToolingRemote GPU ServersContainerizationAPIs

Certifications & Qualifications

Active TS/SCI ClearanceUS Citizenship

Industry Keywords

Remote SensingSignal ProcessingRadar FundamentalsRF Code ProcessingEmbedded ComputeTechnical DeliverablesSBIR ProposalsCompute InfrastructureData SchemasIntegration Guidance

Tech Stack

Tools & technologies

NumpyPythonPyTorchRemote SensingTypeScript

About the role

Key responsibilities & impact

Own the radar and ML technical stack across radar/SAR simulation, machine learning, scientific software, and compute infrastructure
Act as a technical liaison between radar engineering, machine learning, 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-related tasks
Perform preprocessing, training, evaluation, and deployment-ready packaging
Utilize and analyze radar, 3D model, EO/IR, and sensing-adjacent 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 setups, remote compute, storage, networking, containerization, and benchmarking
Support ML inference/training on constrained or embedded compute, including RFSoCs and FPGAs
Collaborate with RF/hardware partners on RF code processing, radar outputs, and deployable radar hardware productization
Help deploy and maintain web applications and internal tools on classified or restricted networks
Contribute to technical writing, SBIR proposals, and system documentation

Requirements

What you’ll need

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 processing
Proven experience with radar or remote sensing simulations
Strong proficiency with scientific Python libraries, including NumPy, PyTorch, SciPy, Matplotlib, Jupyter, and related scientific stacks
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, including 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 software engineering principles and best practices, including clean code, testing, and version control
Exceptional communication skills and ability to produce high-quality technical documentation and deliverables
Prolonged periods sitting at a desk and working on a computer
Must be able to lift up to 10–15 pounds at a time

Benefits

Comp & perks

Competitive benefits
Opportunities to bolster skills and develop new abilities
Professional growth opportunities
Collaborative company culture
Participation in #NTC_GivesBack for positive social change