Logo
Tesla

Machine Learning Engineer, Distributed Systems, Optimus

Tesla, Palo Alto, California, United States, 94306

Save Job

Machine Learning Engineer, Distributed Systems, Optimus

Join to apply for the

Machine Learning Engineer, Distributed Systems, Optimus

role at

Tesla Machine Learning Engineer, Distributed Systems, Optimus

Join to apply for the

Machine Learning Engineer, Distributed Systems, Optimus

role at

Tesla Get AI-powered advice on this job and more exclusive features. 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, visualize data, assist with exporting and deploying neural networks to the bot, and evaluate experimental results. You will help us automate the entire workflows of training, validation, and production of the Optimus. Most importantly, you will see your work repeatedly shipped to and utilized by thousands of Humanoid Robots in real world applications.

What You'll Do

Build and improve our Python training infrastructure for stable and faster training Build the tooling and infrastructure for reporting and visualizing model metrics and performance Build the pipelines to run and validate our PyTorch models Manage, analyze, and visualize our training and test datasets Coordinate with the team managing the hardware cluster to maintain high availability / jobs throughput for Machine Learning Build and improve tooling to deploy trained neural nets to Tesla hardware

What You'll Bring

Practical experience programming in Python and/or C++ Proficient in system-level software, particularly hardware-software interactions and resource utilization Understanding of modern machine learning concepts and state of the art deep learning Experience working with training frameworks, ideally PyTorch Demonstrated experience scaling neural network training jobs across clusters of GPU’s Optional: Previous experience in deep learning deployment Optional: Profiling and optimizing CPU-GPU interactions (pipelining compute/transfers, etc)

Benefits Compensation and 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

$124,000 - $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.

, Tesla Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries Motor Vehicle Manufacturing, Renewable Energy Semiconductor Manufacturing, and Utilities Referrals increase your chances of interviewing at Tesla by 2x Sign in to set job alerts for “Machine Learning Engineer” roles.

AI/ML Engineer (Multiple roles and seniority levels)

San Bruno, CA $117,000.00-$234,000.00 2 weeks ago San Jose, CA $137,500.00-$236,500.00 3 weeks ago Mountain View, CA $124,500.00-$186,500.00 1 week ago San Jose, CA $120,700.00-$228,600.00 1 week ago Palo Alto, CA $2,000.00-$2,500.00 3 weeks ago Sunnyvale, CA $167,000.00-$185,500.00 5 days ago Software Engineer, AI Platform - New Grad

Mountain View, CA $145,000.00-$170,000.00 4 days ago New Grads 2025 - Software Engineer - Computer Vision/Deep Learning

San Jose, CA $120,000.00-$165,000.00 10 months ago Machine Learning Engineer (I, II, or Sr.)

San Mateo, CA $135,000.00-$155,000.00 8 hours ago New Grads 2025 - Software Engineer, Algorithm

San Jose, CA $120,000.00-$165,000.00 11 months ago San Jose, CA $120,700.00-$228,600.00 1 week ago Sunnyvale, CA $140,000.00-$156,000.00 12 hours ago ML Research Scientist Intern (Fall 2025)

San Jose, CA $169,500.00-$291,500.00 3 weeks ago Sunnyvale, CA $158,200.00-$185,000.00 1 month ago Research Engineer, Applied AI/ML - Early Stage Project

Mountain View, CA $136,000.00-$185,000.00 1 week ago Machine Learning Engineer (I, II, or Sr.)

San Jose, CA $120,000.00-$240,000.00 5 months ago New Grads 2025 - General Software Engineer

San Jose, CA $120,000.00-$165,000.00 6 months ago San Jose, CA $130,000.00-$200,000.00 2 weeks ago San Jose, CA $130,000.00-$182,000.00 1 year ago San Jose, CA $102,400.00-$196,300.00 1 week ago Mountain View, CA $152,000.00-$228,000.00 5 days ago Full Stack Software Engineer (L4), Product Localization Engineering

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr