Electrical Engineer, SI Inference Hardware, Optimus
- Pay
- $160,000 – $282,000 per year
- Location
- Palo Alto, CA · On-site
- Job type
- Full-time
- Level
- Mid-level
- Listed
- 29 days ago
Skills & highlights for this role
- AI inference hardware
About the role
- Electrical Engineer, SI Inference Hardware, Optimus | Tesla (Tesla SI)
- Location: PALO ALTO, California | Req ID: 264544 | Job Type: Full-time
- What to Expect
The SI inferencing Hardware team is responsible for designing the computing hardware that delivers the autonomous capability for Tesla vehicles and humanoid robots. We design complex high speed compute boards with Tesla in-house SI silicon, to deliver inferencing performance while meeting efficiency, cost, reliability goals. The SI computer is integrated as the “brain” for humanoid robot, Optimus, to perform physical world tasks.
What You'll Do
- Hardware ownership: Specification, architecture, design, simulation, schematics, layout supervision, prototype, validation
- Design of electrical architecture, electronic circuits, processor selection and integration, system timing and bus loading
- Collaborate with PCB layout, firmware, reliability, program management, mechanical, and EMC teams
- Thoroughly document design requirements, calculations, power budgets, etc.
- Come up with validation plan and verify all the features and interfaces across corners
- Design for manufacturing, design for test and design for EMC
What You'll Bring
- Degree in Electrical Engineering or equivalent experience
- 3+ years of relevant board design experience; Different levels available based on experience
- Quick learner and problem solver, comfortable with ambiguity and self-driven
- Strong in high speed board design(>5Gbps) and knowledge of interfaces (DDR, PCIe, MIPI, Ethernet, etc.)
- Experience in processor, memory, storage, network IO based for complex mother board design
- Solid fundamentals of analog and power (MOSFETs, op-amps, switching regulators, gate drivers, etc.)
- Proficiency with EE tools (oscilloscopes, BERT, network analyzers, signal generators, etc.)
- Experience in HW/SW co-design, understand how digital interface works with software stack
- Understanding on neural network and transformer SI model is not required but would be a bonus point
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
- Earned Wage Access: Real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)
Expected Compensation$160,000 - $282,000/annual salary + cash and stock awards + benefitsPay 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.
From Tesla's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the Electrical Engineer, SI Inference Hardware, Optimus role at Tesla?
The Electrical Engineer, SI Inference Hardware, Optimus posting at Tesla states compensation of $160,000 – $282,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Tesla's official career site.
Where is the Electrical Engineer, SI Inference Hardware, Optimus job at Tesla located?
This Electrical Engineer, SI Inference Hardware, Optimus position at Tesla is located in Palo Alto, CA (On-site). Always check Tesla's application page for specific state eligibility or relocation policies.
What qualifications are required for Electrical Engineer, SI Inference Hardware, Optimus at Tesla?
For the Electrical Engineer, SI Inference Hardware, Optimus role, Tesla highlights experience with AI inference hardware. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Electrical Engineer, SI Inference Hardware, Optimus position at Tesla?
This listing links directly to Tesla's application page. You can apply directly on Tesla's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.