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.
3+ 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.
Skills Required
- Major in Electrical Engineering or Computer Science, BS or above, or equivalent experience
- 3+ 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
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
