NT Concepts

Machine Learning Engineer

• 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

Senior Machine Learning Engineer, Radar & Remote Sensing