Software Engineer 2 (Hybrid)

At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. 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 25% Telework ***This position is eligible for a $5k bonus! (Includes 20% SEP IRA contribution)*** Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). Capabilities 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. [... source excerpt omitted ...] sh 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. Required Qualifications TS/SCI with agency appropriate poly Bachelor’s Degree in Computer Science or a related discipline. 14+ years of software engineering experience. Four (4) years of additional software development experience on comparable projects may be substituted for a bachelor's degree. Required Technical Skills Strong Python experience Solid understanding of DevOps practices and CI/CD pipelines Intermediate/Advance [... source excerpt omitted ...] Docker) container creation and performance optimization Beginner/Intermediate experience with orchestration tools such as Kubernetes Experience taking projects from prototype to production Strong communication skills for technical and non-technical audiences Self-motivated with ability to work independently and collaboratively Desired Technical Skills Software Development experience: C++, Java, GoLang, CUDA Experience supporting production ML systems Familiarity with ML domains: Natural Language Processing, Computer Vision, Automated Speech Recognition, or Video Processing Knowledge of model formats and optimization (ONNX, TensorRT) The Benefits Package Wyetech believes