Wyetech is seeking a Software Engineer to support Machine Learning as a Deployment Engineer who 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, build CI/CD and packaging around Python on NVIDIA Triton Inference Server, tune pipelines for throughput, review and test software components, create user documentation, and resolve system problem reports. The Software Engineer develops, maintains, and enhances complex and diverse software systems based upon documented requirements, working individually or as part of a team. They review and test software components for adherence to design requirements and document test results, resolve software problem reports, and utilize appropriate software development and design methodologies. They provide specific input to the software components of system design, including hardware/software tradeoffs, software reuse, use of COTS/GOTS in place of new development, and requirements analysis and synthesis from system level to individual software components.
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Job Type
Full-time
Career Level
Senior