NVIDIA

1 week ago

Product Development Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 minutes agoStatus: Live

Job Summary

Develop manufacturing test processes for NVIDIA high-performance CPUs and automotive SoCs, working with Operations Engineering to architect, design, and implement test coverage improvements. Analyze yield limiters, optimize Vmin/Fmax (speed binning), and debug failures using ATE and correlation methods with field/customer data. Define test requirements to drive NPI bring-up and reliability qualification (e.g., AEC-Q100) for smooth production ramps and zero-defect screening while reducing cost.

Location: Taiwan

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Mid level

Key Responsibilities

•Architect, design, and implement efficient manufacturing test processes for NVIDIA processors as part of the Operations Engineering team.
•Identify and implement test processes that improve manufacturing efficiency and test coverage for latest CPU architectures and automotive chips.
•Analyze product yield limiters, optimize Vmin/Fmax (speed binning), and resolve ATE failures through cross-functional root-cause efforts.
•Define product test requirements and drive NPI bring-up, validation, characterization, and reliability qualification for production ramp at worldwide sites.
•Optimize placement of test coverage across test and supply chain to meet automotive zero-defect screening and reduce cost, using data analysis to correlate field/customer failures with internal production data.

Key Requirements

•Master’s or above degree in Electrical Engineering/Computer Engineering/Physics with 2+ years of experience.
•Experience in post-silicon characterization, correlation, qualification (including HTOL testing), and debug.
•Knowledge of ATE testing, DFT methodology, and CMOS device physics.
•Familiarity with CPU architecture fundamentals (e.g., cache hierarchies, coherency fabrics, multi-core power management) or automotive high-reliability product lifecycles.
•Strength presenting and communicating to technical audiences with methodical problem-solving and critical thinking.

Experience:2+ years

Education:Master's in Electrical Engineering/Computer Engineering/Physics

Skills:CommunicationProblem-solvingCritical thinkingOwnershipTeamwork

Tech Stack:ATE testingDFTCMOS device physicsAutomatic Test Equipment (ATE)Vmin/Fmax optimizationSpeed binningNPI bring-upReliability qualificationAEC-Q100ISO 26262JMPPythonJavaSCANATPGMBISTLBISTFailure Diagnosis/IsolationHigh-Temperature Operating Life (HTOL)

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 week ago

Product Development Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 minutes agoStatus: Live

Job Summary

Location: Taiwan

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Mid level

Key Responsibilities

•Architect, design, and implement efficient manufacturing test processes for NVIDIA processors as part of the Operations Engineering team.
•Identify and implement test processes that improve manufacturing efficiency and test coverage for latest CPU architectures and automotive chips.
•Analyze product yield limiters, optimize Vmin/Fmax (speed binning), and resolve ATE failures through cross-functional root-cause efforts.
•Define product test requirements and drive NPI bring-up, validation, characterization, and reliability qualification for production ramp at worldwide sites.
•Optimize placement of test coverage across test and supply chain to meet automotive zero-defect screening and reduce cost, using data analysis to correlate field/customer failures with internal production data.

Key Requirements

•Master’s or above degree in Electrical Engineering/Computer Engineering/Physics with 2+ years of experience.
•Experience in post-silicon characterization, correlation, qualification (including HTOL testing), and debug.
•Knowledge of ATE testing, DFT methodology, and CMOS device physics.
•Familiarity with CPU architecture fundamentals (e.g., cache hierarchies, coherency fabrics, multi-core power management) or automotive high-reliability product lifecycles.
•Strength presenting and communicating to technical audiences with methodical problem-solving and critical thinking.

Experience:2+ years

Education:Master's in Electrical Engineering/Computer Engineering/Physics

Skills:CommunicationProblem-solvingCritical thinkingOwnershipTeamwork

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