Tesla

SOC Product Engineer, AI Hardware

Tesla  •  ¥93k/yr  •  Taipei, TW (Onsite)  •  1 month ago
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Job Description

What to Expect

The Tesla AI 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 AI 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 AI 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 AI-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 AI SOCs.

What You’ll Do

  • Define and execute optimal test strategies for productization of AI 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

What You’ll Bring

  • 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
Tesla

About Tesla

Tesla is accelerating the world’s transition to sustainable abundance. To achieve our mission, we're building a world powered by solar, enabled by battery storage and transported by electric vehicles.

We’re committed to hiring and developing top talent from around the world for any given discipline. Headquartered in Texas, we operate six huge, vertically integrated factories across three continents. With over 100,000 employees, our teams take a first-principles approach to designing, building, selling and servicing our products in-house.

Our world-class teams operate with a non-conventional philosophy of inter-disciplinary collaboration. Each member of the team is expected to challenge and to be challenged, to create, and to innovate. We’re tackling the world’s most difficult and important problems—and we wouldn’t succeed without our shared passion for making the world a better place.

Industry
Automotive & Mobility
Company Size
10,000+ employees
Headquarters
Austin, Texas
Year Founded
2003
Website
tesla.com
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