Software Engineer, Performance, AI Infrastructure

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Job Category
AI & Robotics

Location
Palo Alto, California

Req. ID
221927

Job Type
Full-time

Tesla participates in the E-Verify Program
What to Expect
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.
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
  • Extensive experience in CUDA kernel programming and pushing GPUs to their limits
  • Experience programming in Python
  • Experience with at least one deep learning framework (ideally in PyTorch)
  • Demonstrated experience in profiling CPU/GPU code
  • Proficient in system-level software, in particular hardware-software interactions and resource utilization
  • Good knowledge of CUDA kernels used in training state-of-the-art deep learning models
  • Experience with high-performance networking (e.g. Infiniband, RDMA, NCCL)
  • Experience with Triton, preferred
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

$104,000 - $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.

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.