Software Engineer II, MLOps Framework

Responsibilities

• Architect and implement model conversion and compilation pipelines for edge devices
• Maintain and evolve the model release registry for traceability and reproducibility
• Conduct latency benchmarking and model quality parity evaluations
• Validate accuracy and latency compliance of models across platforms before release
• Communicate findings to model development teams and stakeholders

Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field with relevant experience
• 4+ years of experience, or 2+ years with a Master's degree, in model conversion and compilation pipelines
• Experience with ONNX, TensorRT, and torch.compile for model deployment
• Hands-on experience deploying and testing models on edge hardware such as NVIDIA Orin
• Familiarity with maintaining a model release registry in a production environment

Benefits

• 100% paid medical, dental, and vision premiums for full-time employees
• 401K plan with a 6% employer match
• Flexibility in schedule and generous paid vacation starting immediately
• AD+D and Life Insurance