System Application Engineer

NVIDIA

3 Locations permanent

Posted: May 13, 2026

Job Description

We are looking for a System Application Engineer in Beijing, Shanghai, or Shenzhen, China to drive key aspects of GPU and CPU technology for enterprise and data-center platforms, including NVIDIA Enterprise GPU and CPU product lines. This person will support NVIDIA customers, focusing on product engineering and technology development, bringing deep CPU/GPUs knowledge and experience in server and data-center products. Additionally, you will support CPU/GPU server development with a background in server architecture, build, and key technologies such as high-speed interconnects, system qualification, system reliability, and server management features.

What makes this opportunity outstanding is our dedication to innovation and excellence. You will work with modern technology and world-class talent. At NVIDIA, you have a chance to create a lasting impact on the world. You will be part of a diverse and encouraging team that encourages everyone to perform at their best.

What you'll be doing:

• Work as a system application engineer, providing support to our server and data-center customer engineering teams.

• Deliver product specifications and key build information, guiding customers in server product development and verification.

• Collaborate with customer engineering teams on server product development, testing, and debugging to ensure customer success.

What we need to see:

• Major in Electrical Engineering or Computer Science. BS or above, or equivalent experience.

• Over 5 years of experience with server system architecture, high-speed interconnects, board development, and system failure/reliability analysis.

• Strong engineering background in circuit build, high-speed signal layout, interconnect protocols, memories, and power/SI knowledge.

• Outstanding problem-solving and debugging expertise, with strong root-cause analysis capability.

• Extensive experience using hardware and software tools to build server platform architecture, qualification, and CUDA/AI application.

• Proven self-initiative, excellent interpersonal skills, and the flexibility to adapt to new technologies.

Ways to stand out from the crowd:

• Working experience in GPU related server and data-center platforms.

• Strong communication and interpersonal skills in both English and Mandarin.

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