Software Engineer, Training Performance, SI Infrastructure

About the role

Software Engineer, Training Performance, SI Infrastructure | Tesla (Tesla SI)

Location: Palo Alto, California | Req ID: 285676 | Job Type: Full-time

What to Expect

As a Software Engineer within the Autopilot SI Infrastructure team, you will work on reinforcing, optimizing, and scaling our infrastructure components supporting SI research activities for Autopilot and the Optimus.

At the core of our autonomy capabilities are neural networks that the research team is designing to train on very large amounts of data, across large-scale GPU clusters. Robustly training these models at scale and in the shortest amount of time is critical to our mission.

What You'll Do

• Reduce wall clock time to convergence of our training jobs by identifying bottlenecks in the ML stack, from data-loading up to the GPU
• Integrate efficient, low-level code with the overall high-level training framework
• Profile our workloads and implement solutions to increase training efficiency
• Optimize workloads for efficient hardware utilization (e.g. CPU and GPU compute, data throughput, networking)

What You'll Bring

• Members of the Autopilot AI Infrastructure team are expected to be adaptable to the dynamic requirements of AI research and capable of contributing across all parts of the AI training software stack
• Practical experience programming in Python and/or C/C++
• Experience programming in CUDA, cuDNN or Triton, particularly in the context of operations used in AI workloads
• Experience profiling and optimizing CPU-GPU interactions (pipelining computation with data transfers, etc.)
• Experience working with training frameworks (ideally PyTorch)
• Proficient in system-level software, in particular hardware-software interactions and resource utilization
• Experience with parallel programming concepts and primitives
• Understanding of modern machine learning concepts and state of the art deep learning
• Experience scaling neural network training jobs across many GPUs

Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

• Medical plans > 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 Accounts) HSA Contribution when enrolled in the High-Deductible 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 (90 day waiting period)
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly 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
• Earned Wage Access: Real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)

Expected Compensation$176,000 - $558,000/annual salary + cash and stock awards + benefitsPay 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.