Tesla
Software Engineer, ML Infra, Dojo
Tesla, Palo Alto, California, United States, 94306
As a ML Software Engineer within Dojo, which is our supercomputer designed entirely in-house, you will play a crucial role in bridging the gap between our cutting-edge Dojo training accelerator and the neural networks developed by our Autopilot ML team. Collaborate closely with world-class ML Researchers, Compiler and Hardware Engineers to tackle unique challenges at the intersection of AI and ML training accelerators. Your expertise will be instrumental in optimizing and scaling our neural network training infrastructure.
Responsibilities
Work with machine learning Researchers and Engineers to run FSD models on our in-house ML training accelerator Profile performance of training workloads in our cluster, identify bottlenecks in and between CPU/Dojo code execution, and work on optimizing its throughput and scalability within and across nodes to ultimately reduce convergence time Coordinate with the team managing the hardware cluster to maintain high availability / jobs throughput for Machine Learning Integrate the training software into our continuous integration cluster to support metrics persistence across experiments, weekly/nightly neural network builds, and other unit / throughput tests Requirements
Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability Practical experience programming in Python and/or C++ Experience working with training frameworks, ideally PyTorch Proficient in system-level software, in particular hardware-software interactions and resource utilization Understanding of modern machine learning concepts and state of the art deep learning Profiling and optimizing CPU-accelerator interactions (pipelining compute/transfers, etc.) Devops experience, in particular dealing with clusters of training nodes, and filesystems for very large amount of training data 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
$120,000 - $318,000/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
Work with machine learning Researchers and Engineers to run FSD models on our in-house ML training accelerator Profile performance of training workloads in our cluster, identify bottlenecks in and between CPU/Dojo code execution, and work on optimizing its throughput and scalability within and across nodes to ultimately reduce convergence time Coordinate with the team managing the hardware cluster to maintain high availability / jobs throughput for Machine Learning Integrate the training software into our continuous integration cluster to support metrics persistence across experiments, weekly/nightly neural network builds, and other unit / throughput tests Requirements
Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability Practical experience programming in Python and/or C++ Experience working with training frameworks, ideally PyTorch Proficient in system-level software, in particular hardware-software interactions and resource utilization Understanding of modern machine learning concepts and state of the art deep learning Profiling and optimizing CPU-accelerator interactions (pipelining compute/transfers, etc.) Devops experience, in particular dealing with clusters of training nodes, and filesystems for very large amount of training data 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
$120,000 - $318,000/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.