Post Silicon Validation Engineer, Korea

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Post Silicon Validation Engineer, Korea

| Job Category | Engineering & Information Technology | | Location | Seoul, Seoul | | Req. ID | 276223 | | Job Type | Full-time |

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. 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.

The role will focus on developing Post-Silicon validation plan, tools, and infrastructure for Tesla’s custom SoCs and Platforms designs. As a Silicon Validation Engineer, the candidate will take on challenges like validating High-Speed Serdes, perform system level power characterization, and troubleshooting complex hardware bugs and field returns. The candidate will regularly take part in hardware design and schematics review, firmware development, and building automated test infrastructures for running large volume of post silicon system level tests.

Also, the candidate will play a pivotal role in developing test content and infrastructure for our custom SoCs and platform designs for Autopilot and AI. The candidate will focus on screening various IP components within the SoC, including CPU, NPU, NoC, memory, ethernet, high-speed interface (PCIe, UFS, MIPI-CSI) and peripherals.

What You’ll Do

• Create and execute synthetic workloads that stress the various functional blocks inside the silicon platforms such as the GPU, Fabric, Neural Network, Camera Interface etc.
• Assist in identifying and fixing any hardware bugs before going into production
• Bring up and characterize Autopilot Custom Silicon and PCBA
• Collaborate with diverse teams in hardware design, schematic reviews, firmware development, and building automated test infrastructures
• Write test plans, develop test cases, and catch design bugs before production
• Characterize and improve power and performance consumption at a system level
• Build and maintain automated test infrastructures to efficiently execute high-volume post-silicon system-level tests.
• Partner closely with ATE engineers to achieve system-to-ATE correlation, address coverage gaps, and improve overall SLT yield.
• Conduct onsite visits to OSATs for SLT system bring-up and troubleshooting.

What You’ll Bring

• Degree in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience

• Deep knowledge of computer architecture

• Microcontroller & Embedded Systems Programming Experience in C/C++

• Python and bash scripting and familiarity with git and version control systems

• Design, verification or validation disciplines, system/platform level debug and root cause isolation, methodology and tools

• Experience with Test Automation Framework Development

• Familiarity with JTAG and/or Open OCD

• Familiarity with Scan Chains and Memory Bist (MBIST)

• Experience in post-silicon bring-up and validation of ARM-based SoC architectures.

• Experience in SLT (system-level test) development and automation.

• Proficient in programming with C/C++ and working with OS-level device drivers.

• Tesla is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws.

• Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

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