T
Staff EM & IR Engineer, Power Integrity, AI Hardware
Accepting applicationsTesla · Palo Alto, CA
Full-Time Mid_senior AISOCSicSoCVLSI
Posted
17 Apr
Category
Test
Experience
Mid_senior
Country
United States
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. Tesla's AI Hardware Team is looking for experienced, highly skilled VLSI engineers who enjoy working across the logic, circuit, methodology, and physical design levels. Our physical design team is growing to tackle a wider range of projects, building on our in-house SOC design expertise. This position entails the design, construction and integration of SOCs, IP, circuits, tool flows, and methodologies into systems using advanced technologies - from definition through characterization.
Our AI Hardware engineering team is building some of the most complex SoCs. As a Staff EM/IR Engineer, you will own power grid architecture, EMIR signoff, and IR budget strategy across full-chip and multi-die designs. Your work directly determines whether silicon performs reliably at the power and frequency targets that matter — from individual compute blocks through the complete 3D stack.
What You'll Do
Design and validate power grids for large SoCs — set IR budgets per compute block and enforce targets through implementation
Own signal EM and power EM analysis flows end-to-end, from block-level through full-chip signoff
Manage EMIR analysis across complex SoC hierarchies — triage violations, drive fixes, and own signoff closure
Perform EM/IR analysis for 3D IC architectures including hybrid bonded and die-stacked designs — account for TSV current density, bond interface parasitics, and cross-die power delivery
Set and validate IR drop budgets across the die stack including package and interposer contributions
Analyze package power integrity and signal integrity interactions — partner with packaging teams to align on PDN strategy
Define EMIR targets for compute blocks and validate convergence through tapeout
Leverage AI agents to automate power grid analysis, violation triage, and EMIR reporting workflows
What You'll Bring
Degree in Electrical Engineering, Computer Engineering, or related field, or equivalent work experience
20+ years of EM/IR analysis and power grid design experience on high-performance SoCs
Deep expertise in static and dynamic IR drop, electromigration (signal and power), and power grid validation
Hands-on proficiency with industry EMIR tools (RedHawk, Voltus, or equivalent)
Proven experience setting and managing IR budgets across large, multi-block SoC designs
Experience with 3D IC EMIR analysis — hybrid bonding, die stacking, and TSV current density modeling
Understanding of package PI/SI concepts and their impact on on-die power delivery
Ability to use AI agents to automate and scale EMIR flows across complex design hierarchies
Benefits
Compensation and 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.
, Tesla
Show more Show less
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. Tesla's AI Hardware Team is looking for experienced, highly skilled VLSI engineers who enjoy working across the logic, circuit, methodology, and physical design levels. Our physical design team is growing to tackle a wider range of projects, building on our in-house SOC design expertise. This position entails the design, construction and integration of SOCs, IP, circuits, tool flows, and methodologies into systems using advanced technologies - from definition through characterization.
Our AI Hardware engineering team is building some of the most complex SoCs. As a Staff EM/IR Engineer, you will own power grid architecture, EMIR signoff, and IR budget strategy across full-chip and multi-die designs. Your work directly determines whether silicon performs reliably at the power and frequency targets that matter — from individual compute blocks through the complete 3D stack.
What You'll Do
Design and validate power grids for large SoCs — set IR budgets per compute block and enforce targets through implementation
Own signal EM and power EM analysis flows end-to-end, from block-level through full-chip signoff
Manage EMIR analysis across complex SoC hierarchies — triage violations, drive fixes, and own signoff closure
Perform EM/IR analysis for 3D IC architectures including hybrid bonded and die-stacked designs — account for TSV current density, bond interface parasitics, and cross-die power delivery
Set and validate IR drop budgets across the die stack including package and interposer contributions
Analyze package power integrity and signal integrity interactions — partner with packaging teams to align on PDN strategy
Define EMIR targets for compute blocks and validate convergence through tapeout
Leverage AI agents to automate power grid analysis, violation triage, and EMIR reporting workflows
What You'll Bring
Degree in Electrical Engineering, Computer Engineering, or related field, or equivalent work experience
20+ years of EM/IR analysis and power grid design experience on high-performance SoCs
Deep expertise in static and dynamic IR drop, electromigration (signal and power), and power grid validation
Hands-on proficiency with industry EMIR tools (RedHawk, Voltus, or equivalent)
Proven experience setting and managing IR budgets across large, multi-block SoC designs
Experience with 3D IC EMIR analysis — hybrid bonding, die stacking, and TSV current density modeling
Understanding of package PI/SI concepts and their impact on on-die power delivery
Ability to use AI agents to automate and scale EMIR flows across complex design hierarchies
Benefits
Compensation and 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.
, Tesla
Show more Show less
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