NVIDIA

1 month ago

System Application Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

System Application Engineer in Beijing, Shanghai, or Shenzhen will support NVIDIA server/data-center customers, deliver product specs and build information for server product development, and collaborate with customer engineering to drive successful server platform qualification and deployment. Focus on CPU/GPU technology, high-speed interconnects, and reliability to enable enterprise data-center solutions.

Location: Beijing, Shanghai, Shenzhen

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Provide support to our server and data-center customer engineering teams as a system application engineer.
•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.
•Contribute to system qualification and reliability analyses to ensure robust server platforms.
•Assist in building and validating CUDA/AI applications on NVIDIA server platforms.

Key Requirements

•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.

Experience:3+ yearsData centerGPUServerEnterprise hardware

Education:Bachelor's

Skills:Problem-solvingCommunicationInterpersonalAnalytical

Languages:EnglishMandarin

Tech Stack:CUDAAIServer architectureHigh-speed interconnectsBoard developmentSignal integrityPower/SICUDA/AI application

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 month ago

System Application Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Location: Beijing, Shanghai, Shenzhen

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Provide support to our server and data-center customer engineering teams as a system application engineer.
•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.
•Contribute to system qualification and reliability analyses to ensure robust server platforms.
•Assist in building and validating CUDA/AI applications on NVIDIA server platforms.

Key Requirements

•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.

Experience:3+ yearsData centerGPUServerEnterprise hardware

Education:Bachelor's

Skills:Problem-solvingCommunicationInterpersonalAnalytical

Languages:EnglishMandarin

Tech Stack:CUDAAIServer architectureHigh-speed interconnectsBoard developmentSignal integrityPower/SICUDA/AI application

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor