테슬라(Tesla) 채용 - [채용] 테슬라(Tesla) - Staff Electrical Design Engineer – AI Compute & Infrastructure, Seoul, Korea | 데모데이
테슬라(Tesla) - Staff Electrical Design Engineer – AI Compute & Infrastructure, Seoul, Korea
테슬라(Tesla)·서울특별시 강남구 테헤란로 419, 9층·정규직·경력 5년 이상
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회사명
테슬라(Tesla)
포지션
Staff Electrical Design Engineer – AI Compute & Infrastructure, Seoul, Korea
근무지
서울특별시 강남구 테헤란로 419, 9층
고용형태
정규직
경력
5년 이상
회사 소개
Tesla's AI Compute electrical design team builds the hardware that powers autonomous driving, humanoid robotics, and the data centers that train and serve our models. You will own complex high-speed boards built around Tesla's custom neural-engine silicon and leading x86/Arm processors, balancing inferencing performance, efficiency, cost, and reliability — from a single vehicle ECU up to scale-up and scale-out clusters in the AI inference data center.
주요 업무
Own hardware end-to-end: electrical specification, system architecture, SPICE simulation, schematics, layout supervision, prototype build, board bring-up, and validation
Define electrical architecture — circuit and glue-logic design, processor and memory selection, system timing, and bus loading
Collaborate cross-functionally with silicon design, post-silicon, PCB layout, firmware, mechanical, signal and power integrity, thermal, reliability, EMC, and program management
Document design requirements, calculations, and power budgets to a level that supports audit and reuse
Author bring-up and electrical validation plans, then verify every feature and interface across PVT corners
Design for manufacturability, testability, and EMC compliance
자격요건
Degree in Electrical / Computer Engineering, or equivalent industry experience
Demonstrated end-to-end PCB assembly design ownership, including hands-on bring-up, electrical validation, failure analysis, and system test
Strong high-speed board design (>10 Gbps) with PCIe, MIPI, Ethernet, DisplayPort, USB, or HDMI
Complex motherboard experience with high-performance x86/Arm processors and/or custom silicon
Working knowledge of AI SoC specifications — compute, memory bandwidth, network ingress/egress, peak power, storage — and benchtop bring-up
Hardware and software co-design experience optimizing inference for large language models
High-power, high-efficiency voltage regulator design
Solid analog and power fundamentals (MOSFETs, op-amps, switching regulators, gate drivers)
Experience shipping high-volume products from concept to mass production
Comfortable iterating with mechanical, thermal, and EMC partners under tight, evolving constraints
Track record of driving suppliers to meet reliability, performance, and scalability targets across the design-to-production lifecycle
Proficient with bench tools — oscilloscopes, BERT, network analyzers, signal generators
우대사항
Board layout experience in Cadence Allegro or Altium tools
AI training and inference processor internals (CPU / NPU / memory controller)
Inter-chip communication for scale-up AI clusters: 112G / 224G SerDes, UALink, scale-up Ethernet