Wyetech is seeking a Software Engineer (SWE) Level 2 – Machine Learning Deployment Engineer to move video, image, speech, and text analytics (VISTA) models from research prototypes to production inference services that downstream engineering teams can run in Kubernetes or similar environments. The role develops, maintains, and enhances complex software systems based on documented requirements, including processing-intensive analytics, novel algorithms, very large datasets, and real-time systems. The engineer may work individually or as part of a team, reviews and tests software components against design requirements, documents test results, resolves software problem reports, and applies software development and design methodologies appropriate to the environment. The position builds CI/CD and packaging for Python on NVIDIA Triton Inference Server, using TensorRT execution providers and Business Logic Scripting (BLS) in-service pipelines. It involves tuning pipelines for throughput, supporting customer transition, creating user documentation, and establishing deployment best practices. The engineer also contributes to system design, including hardware/software trade-offs, software reuse, infrastructure-as-code, and analysis of requirements from the system level down to individual software components. The role requires a bachelor's degree in Computer Science or a related discipline and 14 years of relevant software engineering experience. Four additional years of software engineering experience on projects with similar software processes may substitute for the degree. U.S. citizenship and a position-appropriate security clearance are required due to federal contract requirements; the posting specifies TS clearance with a customer-appropriate polygraph. The listed hourly pay range is $85.64–$115.97. Wyetech describes its culture as focused on hiring and compensating talented people, supporting employee well-being, and delivering strong customer service. Full-time employees may participate in voluntary benefit plans, and the company offers PTO and other benefits described in the posting.
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Job Type
Full-time
Career Level
Mid Level