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Power Management & Memory IP Design Verification Engineer, AI Hardware

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Tesla

Palo Alto, CA (In Person)

$287,000 Salary, Full-Time

Posted 4 days ago (Updated 2 days ago) • Actively hiring

Expires 6/7/2026

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Job Description

Power Management & Memory IP Design Verification Engineer, AI Hardware Tesla - 3.3 Palo Alto, CA Job Details Full-time $160,000 - $414,000 a year 3 hours ago Benefits Commuter assistance Health savings account AD&D insurance Paid holidays Disability insurance Health insurance Dental insurance Flexible spending account Flextime Adoption assistance Employee assistance program 401(k) matching Employee discount Benefits from day one Pet insurance Qualifications Verilog SoC Regression testing Senior level Test Planning (Quality assurance practices) Full Job Description What to Expect 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 AI Hardware team is looking for a SOC Verification Engineer who will be responsible for RTL verification of top-level SOC. With a strong knowledge of SOC architecture and SOC verification methodologies, you will interact with multiple teams and build a metric-driven, configurable, and flexible verification environment. You will be responsible for verifying power management subsystems and high-speed memory interfaces within our IP portfolio. You will ensure functional correctness across PVT corners, protocol compliance, and integration scenarios from block level through SoC. We are open to hiring in Austin, TX and Palo Alto, CA and at all levels. What You'll Do Develop and maintain verification plans for power management blocks and memory subsystems Verify power management digital logic Define and execute functional, corner case, and regression test suites Verify memory protocol compliance (timing, initialization, command/data integrity) Develop UVM-based environments for memory controller and PHY verification Collaborate with design engineers to interpret specs and close coverage Work with physical design and RTL design to weigh trade-offs and help determine best approach for modelling or approximating voltage power inputs to simulations Perform simulation-based sign-off Document results and track closure of verification requirements What You'll Bring Familiarity with power management and supply integrity concepts Proficiency in SystemVerilog/UVM Mixed-signal verification using Verilog-AMS or Real Number Modeling (nettype real) for behavioral modeling of analog blocks and supply rails Preferred exposure to power-aware simulation or emulation flows for workload-driven verification of droop response and power-management behavior at subsystem or SoC level Memory Interface/Controller Verification Hands-on experience verifying high-speed memory controllers and/or PHY interfaces Knowledge of JEDEC memory standards and protocol specifications Experience with memory initialization sequences, mode register settings, and timing constraints Familiarity with memory VIP from major vendors (Synopsys, Cadence, Siemens) Understanding of PHY calibration and training sequences Experience with memory subsystem/power management subsystem integration verification 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 $160,000 - $414,000/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.

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