Senior Infrastructure Engineer

Posted:
9/19/2025, 3:52:37 AM

Location(s):
Shanghai, China

Experience Level(s):
Senior

Field(s):
DevOps & Infrastructure

We are seeking a talented Infrastructure Engineer to develop the first-class methodology and flow automation to improve the working efficiency and productivity to develop a digital HW IP. This position offers you a unique opportunity to know the whole methodology nVidia is currently adopting to design, verify and release a digital HW IP to the SOC/GPU team.

What you will be doing:

  • Develop and maintain the methodology for IP development

  • Develop and maintain the flow automation to improve the engineering efficiency

  • Find and fix flow issues and help IP team to adopt

What we need to see:

  • Master's Degree in Electrical Engineering, Computer Science, or Computer Engineering or equivalent work experience.

  • Deep understanding of ASIC design or verification with 3+ years engineering experience

  • Proficient in Python, familiar with makefile, C++ and Perl are a plus

  • Strong communication skills and interpersonal ability

Ways to stand out from the crowd:

  • Experienced in designing a complicated methodology, flow or product to solve common issues in IP development.

  • ideas about how to improve engineering efficiency.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our products are leading the way with groundbreaking developments in Artificial Intelligence, Autonomous Driving, High-Performance Computing and Visualization. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the fastest and most power efficient chips in their class? If so, we want to hear from you.

NVIDIA

Website: https://www.nvidia.com/

Headquarter Location: Santa Clara, California, United States

Employee Count: 10001+

Year Founded: 1993

IPO Status: Public

Last Funding Type: Grant

Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality