Staff Clock & Reset Architecture Engineer, AI Hardware

We are seeking a Staff Clock & Reset Architecture Engineer to lead the clock and reset architecture for next generation SoCs. In this high visibility position you will define scalable multi-clock systems, integrate PLL-based clock generation, and ensure reliable operation across multiple clock and reset domains. You'll collaborate closely with architecture, RTL, verification, timing, and physical design teams to deliver robust clocking and reset infrastructure that drives performance, silicon reliability, and correctness for complex multi-domain chips. What You'll Do

• Deliver functional IP blocks into the target SoC, ensuring they meet all architectural and software requirements
• Evaluate existing internal and external IP to understand functionality, interfaces, and integration constraints
• Analyze and optimize timing, performance, and area (PPA) across the design
• Diagnose and resolve clock-tree and reset-distribution issues to guarantee robust system operation
• Specify, micro-architect, and RTL-code clock generation, distribution, and reset sequencing logic
• Balance trade-offs among functional, physical, and performance targets, making data-driven decisions
• Partner with cross-functional teams (implementation, verification, performance engineering) throughout the design flow
• Design for synthesis readiness, adhering to best-practice coding styles and tool constraints

• 8+ years ASIC/SoC design experience
• Deep expertise in clock architecture, distribution, muxing, dividers, and PLL integration
• Proven skill in reset architecture, sequencing, and domain-crossing solutions
• Strong knowledge of CDC and RDC methodologies
• Proficient in STA constraints, timing closure for multi-clock designs, and clock-tree synthesis
• Extensive RTL development using Verilog/SystemVerilog and scripting (Python/Tcl/Perl)
• Worked on large multi-billion-gate SoCs with DFT considerations for clock and reset
• Familiar with industry tools: CDC/RDC analysis tools, PrimeTime/Tempus
• Degree in Electrical Engineering, Computer Science, or equivalent field or equivalent experience

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

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.