Tesla
Machine Learning Systems Engineer, Tooling & Infrastructure, Optimus
Tesla, 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 / jobs 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.
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 / jobs 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.