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Electrical Engineer, SI Inference Hardware, Optimus

L6

teslaPalo Alto, CAtoday

$160,000 - $282,000 per year

Occupations

Electrical EngineersElectronics Engineers, Except ComputerComputer Hardware Engineers

Industries

Semiconductor and Related Device ManufacturingElectronic Computer ManufacturingPrinted Circuit Assembly (Electronic Assembly) Manufacturing
AI Inferencing Hardware Team Position The AI 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 AI silicon, to deliver inferencing performance while meeting efficiency, cost, reliability goals. The AI computer is integrated as the "brain" for humanoid robot, Optimus, to perform physical world tasks.
Responsibilities:
  • 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 EMCRequirementsDegree 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 motherboard 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 AI model is not required but would be a bonus point
Compensation & 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 HSAHealthcare 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&DShort-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 - $282,000/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.
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Level

LeadL6

Salary

$160,000 - $282,000 per year

Location

Palo Alto, CA

Occupation

Electrical Engineers

Industry

Semiconductor and Related Device Manufacturing

Posted

today

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