Software Engineer, AI Networking, Machine Learning Infrastructure - Palo Alto California

Company: Tesla, Inc.
Location: Palo Alto, California
Posted On: 05/10/2025

Software Engineer, AI Networking, Machine Learning InfrastructureAs a Software Engineer within the Autopilot AI Infrastructure team, you will work on reinforcing, optimizing, and scaling our infrastructure components supporting AI research activities for Autopilot and the Tesla Bot.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 and our supercomputer Dojo. Robustly training these models at scale and in the shortest amount of time is critical to our mission.We are optimizing the communication collectives used in AI training and inference workloads to ensure they are robust and performant while improving observability.What You'll Do

• Identify gaps and optimize the performance of the collective communication libraries used in the training software stack.
• Build infrastructure to improve observability into the collective communication libraries to significantly reduce cognitive load in debugging massively distributed training jobs.
• Optimize the AI network software stack with respect to the network topology of our AI supercomputing clusters.
• Develop and integrate various health checks to the fault tolerance training infrastructure.
• Collaborate with the supercomputing and research team to ensure requirements on network bandwidth and topology for modern AI workloads are met.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.
  • Strong work ethic and independence.
  • 3+ years of relevant industry experience (HPC, lossless networks) in a fast-paced environment.
  • Strong knowledge on datacenter server systems (PCIe, NUMA, RDMA NICs and switches).
  • Experience in working with, testing and debugging datacenter RDMA networking fabrics (IB, RoCE) and communication collectives (e.g. NCCL).
  • Experience in debugging issues or bottlenecks in the Linux kernel.
  • Experience in massively parallel programming across multiple hosts.
  • Knowledge or interest in understanding ML training workloads and how it translates to relevant collectives.Compensation and BenefitsAlong 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).
    • 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.Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice.
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