NVIDIA

2 days ago

Senior Product Engineer - Datacenter

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Collaborate with NPI, manufacturing, and cross-functional engineering teams to launch NVIDIA AI supercomputing platforms into production. Define test requirements and system-level manufacturing screen specs, ensure DFx compliance for signal integrity, and optimize assembly lines for cost and throughput. Drive alternate component qualifications and BOM updates, solve yield and test issues using data analysis and lab experimentation, and support customer escalations to close coverage gaps for new GPU boards.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Collaborate with NPI teams to ramp production and drive process improvements across multi-functional groups at worldwide manufacturing sites.
•Ensure compliance to DFx requirements for robust signal integrity (layout, mechanical components, and assembly procedures).
•Develop and deliver test specifications for system-level manufacturing screens to meet HW coverage and quality requirements.
•Drive alternate component qualifications and update BOMs; collaborate with CM to define assembly line setup and optimize cost/throughput.
•Use volume data analysis and lab experimentation to solve yield and test problems, and lead continuous improvement to meet test time, yield, and DPPM targets.

Pay and Benefits

Salary: USD 168,000 - 258,750

Key Requirements

•BS or MS degree in EE/CE or equivalent experience.
•8+ years of relevant industry experience.
•Strong EE fundamentals with knowledge/experience in GPU and/or CPU development, system architecture, high-speed interconnects, memories (HBM, GDDR), system reliability, and server RAS features.
•Knowledgeable in statistics, timing analysis, and fault analysis.
•Strong communication and organization skills, with independent project drive and logical problem-solving.

Experience:8+ years

Education:

Skills:CommunicationOrganizationProblem-solvingTime managementIndependent work

Tech Stack:GPUCPUNVLinkInfinBandHigh-speed interconnectsHBMGDDRDFxRASStatisticsTiming analysisFault analysisBOMAssembly proceduresSignal integrity

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

2 days ago

Senior Product Engineer - Datacenter

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Collaborate with NPI teams to ramp production and drive process improvements across multi-functional groups at worldwide manufacturing sites.
•Ensure compliance to DFx requirements for robust signal integrity (layout, mechanical components, and assembly procedures).
•Develop and deliver test specifications for system-level manufacturing screens to meet HW coverage and quality requirements.
•Drive alternate component qualifications and update BOMs; collaborate with CM to define assembly line setup and optimize cost/throughput.
•Use volume data analysis and lab experimentation to solve yield and test problems, and lead continuous improvement to meet test time, yield, and DPPM targets.

Pay and Benefits

Salary: USD 168,000 - 258,750

Key Requirements

•BS or MS degree in EE/CE or equivalent experience.
•8+ years of relevant industry experience.
•Strong EE fundamentals with knowledge/experience in GPU and/or CPU development, system architecture, high-speed interconnects, memories (HBM, GDDR), system reliability, and server RAS features.
•Knowledgeable in statistics, timing analysis, and fault analysis.
•Strong communication and organization skills, with independent project drive and logical problem-solving.

Experience:8+ years

Education:

Skills:CommunicationOrganizationProblem-solvingTime managementIndependent work

Tech Stack:GPUCPUNVLinkInfinBandHigh-speed interconnectsHBMGDDRDFxRASStatisticsTiming analysisFault analysisBOMAssembly proceduresSignal integrity

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