Tesla Manufacturing

SOC Product Engineer, SI Hardware

Taipei, Taiwan In person Full-time

The Tesla SI Hardware team is at the forefront of revolutionizing artificial intelligence through cutting-edge hardware innovation. Comprising brilliant engineers and visionaries, the team designs and develops advanced SI inference chips tailored to accelerate Tesla’s machine learning capabilities. A key part of this effort is Dojo, Tesla's custom supercomputer system built to efficiently train massive neural networks on vast video data from the fleet.

The work of Tesla's SI Hardware team powers the neural networks behind Full Self-Driving (FSD), and Tesla humanoid robot, Optimus, pushing the boundaries of computational efficiency and performance. By creating custom silicon and optimized architectures, the team ensures Tesla remains a leader in SI-driven automotive and energy solutions, shaping a future where intelligent machines enhance human life. Candidate in this role will have ownership in all silicon test aspects from conceptualization through high volume ramp for a successful commercialization of Tesla’s SI SOCs.

Define and execute optimal test strategies for productization of SI SOCs in advanced fab process & packaging technologies Define DOEs for failure analysis of silicon issues across bring up & qualification Drive adoption of corrective actions across test, process and design in collaboration with cross functional teams Partner closely with foundry, assembly, design & test partners from NPI bring up through high volume to optimize yield/quality/power/performance Evaluate silicon across foundry sources, assembly and test sources - drive corrective actions to achieve parity of key product specifications Set up test guard bands based on silicon data across characterization, correlation and qualification Optimize & innovate test content across wafer probe, final test & SLT to achieve throughput/cost/quality goals Degree in Electrical Engineering, Computer Science, or related fields, or equivalent experience Solid understanding of semiconductor device fundamentals, impact of variation on key SOC specifications Experience in volume data processing, statistical data analysis, Guage R&R analysis, scripting for automation 5+ years of experience in structural/functional/parametric test bring up Advantest 93K or Teradyne Uflex ATE platform Experience in cross platform correlation, production SLT platforms, qualification platforms is a bonus Benefits In addition to a competitive compensation package, Tesla Taiwan is pleased to offer the following benefits for employees: Employee Stock Purchase Plan (ESPP) Comprehensive Medical Coverage Access to Global Employee Assistance Program (EAP) and Wellbeing Resources Employee Vehicle Purchase Program Employee Welfare Committee Employee Merchandise Discounts Celebratory Gifts for Special Occasions Employee Referral Program The Company reserves the right to make changes to the Total Rewards benefits without prior notification/approval from the employees, and such benefits may also be subject to terms and conditions determined by the Company 福利 除了具有競爭力的薪酬方案外,Tesla台灣為員工提供以下福利: 員工認股計劃(ESPP) 團體醫療保險 全球員工協助方案 (EAP) 和協助資源 員工購車計劃 職工福利委員會 Eshop精品員工優惠 特殊場合的慶祝禮物 員工推薦計劃 本公司保留更改福利項目的權利。

Job description provided by Tesla.
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