AI Systems Engineer, Tooling & Infrastructure, Optimus

What to Expect As a Software Engineer for the Optimus team, you will build the tools and infrastructure to make and measure improvements to neural network architecture by building and automating scalable data and inference pipelines, ensuring data quality by building visualizing tools.

We are building a Machine Learning Platform that automates the collection, processing, and evaluation of data, reducing manual overhead and accelerating the entire ML lifecycle. We are seeking an experienced engineer to build this automation platform that translates research breakthroughs into robotic intelligence at scale. The systems you create will drive continuous data integration, automated evaluation, and rapid deployment-impacting how thousands of Humanoid Robots perceive and act in the real world every day. What You'll Do

Automate data, inference, and auto-labeling pipelinesBuild the tooling and infrastructure for reporting and visualizing model metrics and performanceManage, analyze, and validate our training and test datasetsCoordinate with the team managing the hardware cluster to maintain high availability / jobs throughput for Machine LearningDrive implementation of best practices and monitoring systems to proactively detect and address issues in our production environmentBuild and improve our Python training infrastructure for stable and faster training and validate our PyTorch modelsWhat You'll Bring

Strong programming experience in Python and vectorization APIs such as numpyExperience with distributed compute systems (k8s, Slurm, LSF, etc.) or experience with large datasets / data workflowsExperience working in a team environmentIt would be a plus if you have experience in training deep learning models and designing and deploying automation systems for machine learning workflowsBenefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

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