NVIDIA

enterprise and data-center platforms

SystemApplicationEngineer

Beijing, China; Shanghai, China; Shenzhen, China FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“System Application Engineer at NVIDIA. Skills: GPU, CPU, server architecture, high-speed interconnects, system qualification, system reliability, server management features, CUDA/AI application. Work as a system application engineer. providing support to our server and data-center customer engineering teams”

What You'll Achieve.

ensure customer success; create a lasting impact on the world

Industry & Context.

enterprise and data center platforms
Problems you'll solve

Outstanding problem-solving; debugging expertise; root-cause analysis capability

What They're Looking For.

Must Have

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, engineering background in circuit build, high-speed signal layout, interconnect protocols, memories, and power/SI knowledge, Outstanding problem-solving and debugging expertise, with 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, the flexibility to adapt to new technologies

Nice to Have

Working experience in GPU related server and data-center platforms, communication and interpersonal skills in both English and Mandarin

What You'll Do.

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

and debugging to ensure customer success

How You'll Work.

Team & Collaboration

Collaborate with customer engineering teams

Communication Scope

English; Mandarin

Full 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 a

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