Tesla
Sr. Machine Learning Infrastructure Engineer, Tesla Bot
Tesla, Stanford, California, United States, 94305
As a Software Engineer for the Tesla Bot 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 Tesla Bot. Most importantly, you will see your work repeatedly shipped to and utilized by thousands of Humanoid Robots in real world applications.
Responsibilities
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 Requirements
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 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) LGBTQ+ care concierge services 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
$116,000 - $360,000/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.
Responsibilities
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 Requirements
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 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) LGBTQ+ care concierge services 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
$116,000 - $360,000/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.