Senior ML Software Engineer [$290k/yr+] TS/SCI-FS Poly

• Transition machine learning models from prototype to production inference services in Kubernetes environments.
• Build robust CI/CD pipelines and optimize containerized services utilizing Python, Docker, and Triton Inference Server.
• Apply multi-language development expertise in C++, Java, Go, and CUDA to deliver scalable analytics solutions., * Move video, image, speech, and text analytics (VISTA) models from prototype to production inference services in Kubernetes environments.
• Build CI/CD and packaging around Python on NVIDIA Triton Inference Server with TensorRT execution providers and Business Logic Scripting (BLS).
• Tune pipelines for maximum throughput and support them through system transition.
• Collaborate cross-functionally with researchers and end users to understand requirements and align development efforts.
• Review, test, and validate software components against system design requirements.
• Create comprehensive documentation and establish deployment best practices.
• Resolve system problem reports and contribute to system architecture, infrastructure-as-code, and hardware/software trade-offs.

Telework: This position supports up to 25% telework with the remaining time performed on-site.

• Degree: Technical bachelor’s degree or equivalent experience
• Years of experience: 14+ years
• Total Compensation: $290k+ yearly