Sr. Electrical Engineer, Self-Driving & AI Hardware

The Self-Driving Hardware team is responsible for designing the computing hardware that delivers the autonomous driving capability of Tesla vehicles and humanoid robots, as well as computing infrastructure for data center. We design the complex high speed boards with Tesla customized neural engine silicon, to deliver inferencing performance while meeting efficiency, cost, reliability goals. In AI inference data center, the computer can run large-scale neural network workload in scale-up and scale-out clusters.

Responsibilities

Hardware ownership including specification, architecture, design, simulation, schematics, layout supervision, prototype, and 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. Create validation plans 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 2+ years of relevant circuit board design experience Demonstrated depth in end-to-end PCBA design Strong in high speed board design(>5Gbps) and knowledge of interfaces (DDR, PCIe, MIPI, Ethernet, etc.) Experience in high performance processor, memory, storage, network IO based for complex mother board design Good understanding of analog and power circuits (MOSFETs, op-amps, switching regulators, gate drivers, etc.) Proficiency with EE tools (oscilloscopes, BERT, network analyzers, signal generators, etc.) Experience shipping high-volume electronics products Understanding on neural network and transformer AI model is not required but would be a bonus point