Working remotely, the full-time Software Engineer II, MLOps will architect and implement model conversion and compilation pipelines for deployment on edge devices, maintain a model release registry, and perform latency benchmarking to ensure safety-critical performance for autonomous trucking. Key responsibilities Architect and implement model conversion and compilation pipelines using tools such as ONNX and TensorRT Maintain and evolve the model release registry to ensure traceability and reproducibility across model versions Perform rigorous latency benchmarking and model quality evaluations to validate compliance with performance requirements Required qualifications Bachelor's Degree in Computer Science, Electrical Engineering, Robotics, or related field plus 4+ years of relevant experience; or Master's Degree plus 2+ years Extensive experience with model conversion and compilation pipelines (ONNX, TensorRT, torch.compile) Hands-on experience deploying and testing models on edge hardware (e.g., NVIDIA Orin) Experience maintaining a model release registry in a production environment Ability to compare and interpret performance metrics across hardware platforms
Software Engineer II, MLOps in workfromhome at Unknown Company
This position is listed as full time and able to be worked remotely.