Software Engineer 2 (Machine Learning) (TS/SCI with Poly)

Take the next step in your career with Solerity. As a recognized leader in providing Information Technology, Engineering Services, Program Management, and Consulting Services to the U.S. Federal Government and Intelligence Community, we deliver innovative, mission-focused solutions supporting some of the nation’s most critical missions in data analytics, software engineering, and advanced technology systems.

Solerity is seeking a Software Engineer 2 (SWE2).

ML Deployment Engineer moves video,image,speech,and text analytics (VISTA)models from research prototype to production inference services that downstream engineering teams can run in Kubernetes or similar environments. You will work individually or as part of a small research/SDK team to:

• Collaborate cross-functionally working directly with end users to understand requirements and with researchers to align development with real-world neds.
• Build the CI/CD and packaging around Python on NVIDIA Triton Inference Server, with TensorRT execution providers and Business Logic Scripting (BLS) in-service pipelines.
• Tune pipelines for throughput, and support them through customer transition.
• Review and test software components against design requirements.
• Create comprehensive user documentation and establish deployment best practices.
• Resolve system problem reports and contributes to system design, including hardware/software trade-offs, software reuse, infrastructure-as-code, and requirements analysis from the system level down to individual components.