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Location
In office (Shanghai)
Seniority
Senior · 3+ years exp
Employment
Full-Time
Overview
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NVIDIA is an American technology company founded in 1993 that invented the graphics processing unit and has become the dominant supplier of accelerated computing platforms for artificial intelligence. Its portfolio spans data centre GPUs and systems built on the Hopper and Blackwell architectures, GeForce consumer graphics, automotive and robotics platforms, high-speed networking acquired with Mellanox, and the CUDA software stack that binds the ecosystem together. Headquartered in Santa Clara, California, the company sells to cloud providers, enterprises, research institutions and gamers worldwide and is one of the most valuable listed businesses on the Nasdaq.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology-and amazing people.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Are you passionate about brand-new technology and innovation? NVIDIA is seeking a Senior Software QA Infrastructure and Test Development Engineer, SDET, to join our ambitious team. This is your opportunity to work with world-class professionals dedicated to advancing new frontiers in AI and computing!

What you’ll be doing:

  • Architecting, crafting, and implementing SWQA test frameworks and infrastructure to ensure flawless performance.

  • Developing both backend and frontend components of B/S and C/S applications for QA infrastructure, ensuring robust and comprehensive testing environments.

  • Testing company-wide frontier AI Agents with associated MCP servers.

What we need to see:

  • Master or higher degree in Computer Science, Electrical Engineering, or related field, or equivalent experience in practice.

  • Proven expertise with UNIX/Linux operating systems.

  • Strong experience with using AI for feature development and automation.

  • Expertise in Python test frameworks, with the ability to build test frameworks using accurate development patterns.

  • Skilled in Python, especially with web development frameworks like Django, Flask, or FastAPI.

  • Demonstrated experience in building enterprise-scale, web-enabled applications.

  • Proficient in HTML5, CSS3, and JavaScript/TypeScript,with experience in modern front-end frameworks like ReactJS, Vue, or Angular.

  • Strong leadership skills and ability to work independently.

  • Proficient in both oral and written English.

  • A minimum of 3 years of relevant work experience.

Ways to stand out from the crowd:

  • Experience with Go or Rust programming languages.

  • Background in microservices architecture.

  • Experience with enterprise-level web UX guidelines.

  • Is capable to build Agentic workflow/MCP Server to improve efficiency with industrial guideline.

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