Tesla Motors, Inc.
AI Systems Engineer, Tooling & Infrastructure, Optimus
Tesla Motors, Inc., Palo Alto, California, United States, 94306
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 / job throughput for Machine Learning.
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 (k8s, Slurm, LSF, etc.) or experience with large datasets / 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 > 2 medical plan options with $0 payroll deduction
Family-building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company paid Basic Life, AD&D, short-term and long-term disability insurance
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions), and Paid Holidays
Back-up childcare and parenting support resources
Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program
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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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 / job throughput for Machine Learning.
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 (k8s, Slurm, LSF, etc.) or experience with large datasets / 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 > 2 medical plan options with $0 payroll deduction
Family-building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company paid Basic Life, AD&D, short-term and long-term disability insurance
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions), and Paid Holidays
Back-up childcare and parenting support resources
Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program
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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