Electrical Engineer, AI Inference Hardware, Optimus

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 EMC

Requirements

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 AI model is not required but would be a bonus point