Machine Learning 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 pipelines.

Build the tooling and infrastructure for reporting and visualizing model metrics and performance.

Manage, analyze, and validate our training and test datasets.

Coordinate with the team managing the hardware cluster to maintain high availability and throughput for Machine Learning jobs.

Drive implementation of best practices and monitoring systems to proactively detect and address issues in our production environment.

Build and improve our Python training infrastructure for stable and faster training and validate our PyTorch models.

What You\'ll Bring

Strong programming experience in Python and vectorization APIs such as NumPy.

Experience with distributed compute systems (Kubernetes, Slurm, LSF, etc.) or experience with large datasets and data workflows.

Experience working in a team environment.

It would be a plus if you have experience in training deep learning models and designing and deploying automation systems for machine learning workflows.

Compensation and Benefits

Benefits

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

• Aetna PPO and HSA plans with >

2 medical plan options with $0 payroll deduction

Expected Compensation

$140,000 - $420,000 / annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

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