Tesla Motors, Inc.
AI Infrastructure Engineer, Distributed Training, 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, 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)
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.
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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)
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.
#J-18808-Ljbffr