Tesla
Software Engineer, Performance, AI Infrastructure
Tesla, Palo Alto, California, United States, 94306
As a Software Engineer within the AI group, you will work on reinforcing, optimizing, and scaling our neural network training and auto-labeling infrastructure for both Autopilot and the Humanoid robot.At the core of our autonomy capabilities are multiple neural networks that the Deep Learning team is designing to train on very large amounts of data across large-scale GPU clusters and, soon, our supercomputer Dojo. Robustly training networks at scale, whether for production models or quick experiments, and completing them in the shortest amount of time possible, is critical to our mission.
Responsibilities
Reduce wall clock time to convergence of our training jobs by identifying bottlenecks in the ML stack, from data-loading up to the GPUIntegrate efficient, low-level code with the overall high-level training frameworkProfile our workloads and implement solutions to increase training efficiencyOptimize workloads for efficient hardware utilization (e.g. CPU and GPU compute, data throughput, networking)Requirements
Extensive experience in CUDA kernel programming and pushing GPUs to their limitsExperience programming in PythonExperience with at least one deep learning framework (ideally in PyTorch)Demonstrated experience in profiling CPU/GPU codeProficient in system-level software, in particular hardware-software interactions and resource utilizationGood knowledge of CUDA kernels used in training state-of-the-art deep learning modelsExperience with high-performance networking (e.g. Infiniband, RDMA, NCCL)Experience with Triton, preferredCompensation and BenefitsBenefits
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 deductionFamily-building, fertility, adoption and surrogacy benefitsDental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contributionCompany Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSAHealthcare and Dependent Care Flexible Spending Accounts (FSA)LGBTQ+ care concierge services401(k) with employer match, Employee Stock Purchase Plans, and other financial benefitsCompany paid Basic Life, AD&D, short-term and long-term disability insuranceEmployee Assistance ProgramSick and Vacation time (Flex time for salary positions), and Paid HolidaysBack-up childcare and parenting support resourcesVoluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insuranceWeight Loss and Tobacco Cessation ProgramsTesla Babies programCommuter benefitsEmployee discounts and perks programExpected Compensation
$104,000 - $360,000/annual salary, depending on level + 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
Reduce wall clock time to convergence of our training jobs by identifying bottlenecks in the ML stack, from data-loading up to the GPUIntegrate efficient, low-level code with the overall high-level training frameworkProfile our workloads and implement solutions to increase training efficiencyOptimize workloads for efficient hardware utilization (e.g. CPU and GPU compute, data throughput, networking)Requirements
Extensive experience in CUDA kernel programming and pushing GPUs to their limitsExperience programming in PythonExperience with at least one deep learning framework (ideally in PyTorch)Demonstrated experience in profiling CPU/GPU codeProficient in system-level software, in particular hardware-software interactions and resource utilizationGood knowledge of CUDA kernels used in training state-of-the-art deep learning modelsExperience with high-performance networking (e.g. Infiniband, RDMA, NCCL)Experience with Triton, preferredCompensation and BenefitsBenefits
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 deductionFamily-building, fertility, adoption and surrogacy benefitsDental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contributionCompany Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSAHealthcare and Dependent Care Flexible Spending Accounts (FSA)LGBTQ+ care concierge services401(k) with employer match, Employee Stock Purchase Plans, and other financial benefitsCompany paid Basic Life, AD&D, short-term and long-term disability insuranceEmployee Assistance ProgramSick and Vacation time (Flex time for salary positions), and Paid HolidaysBack-up childcare and parenting support resourcesVoluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insuranceWeight Loss and Tobacco Cessation ProgramsTesla Babies programCommuter benefitsEmployee discounts and perks programExpected Compensation
$104,000 - $360,000/annual salary, depending on level + 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.