The Tesla AI Hardware team is at the forefront of revolutionizing artificial intelligence through cutting-edge hardware innovation. Comprising brilliant engineers and visionaries, the team designs and develops advanced AI inference chips tailored to accelerate Tesla’s machine learning capabilities. A key part of this effort is Dojo, Tesla's custom supercomputer system built to efficiently train massive neural networks on vast video data from the fleet. The work of Tesla's AI Hardware team powers the neural networks behind Full Self-Driving (FSD), and Tesla humanoid robot, Optimus, pushing the boundaries of computational efficiency and performance. By creating custom silicon and optimized architectures, the team ensures Tesla remains a leader in AI-driven automotive and energy solutions, shaping a future where intelligent machines enhance human life.
The Technical Program Manager plays a pivotal role in Tesla's AI Hardware silicon engineering development team, managing end-to-end cross-functional projects throughout the silicon development cycle. This position requires strong leadership in advancing silicon products for high-density compute applications, encompassing component design, design verification, DFT (Design for Test), physical design, physical verification, integration, bring-up, post-silicon validation and experience, scheduling, test/validation strategies, change management, supply chain operations. Given the fast-paced evolution of the AI Hardware initiative, the TPM is essential in guiding teams toward efficient and successful outcomes.
Responsibilities
- Lead silicon product development for high-density compute, overseeing key areas including component design, system integration, scheduling, engineering builds, test and validation planning, change management, supply chain coordination, and production ramp-up
- Drive cross-functional teams to success in the rapidly iterating AI Hardware project, ensuring agile execution and timely delivery of milestones
Requirements
- Degree in Electrical Engineering, Computer Engineering, or related field, or equivalent work experience
- 10+ years of industry work experience in VLSI/IC design and Minimum of 5+ years of experience in product or program management, operations, or a related field, with a strong focus on process improvement and operationalization
- Proven experience in managing cross-functional teams and collaborating with stakeholders to achieve program goals
- Strong understanding of industry standards and regulatory requirements relevant to energy storage and grid-scale projects
- Excellent analytical and problem-solving skills, with the ability to manage complex information and make data-driven decisions
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:
- 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
Expected Compensation
$128,000 - $312,000/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.