NVIDIA

1 month ago

Product Development Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Product Development Engineer on the GPU Operations team, responsible for productizing NVIDIA chips for consumer, professional, and data center markets. Leads failure analysis, drives test methodology improvements, collaborates across Design, DFX, Test, and HW teams, and builds AI/data-driven workflows to identify yield limiters and quality risks.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Key Responsibilities

•Lead failure analysis of ATE-related escapes – specifically failures seen at system-level and customer RMAs. Determine root cause and drive corrective actions back into wafer sort and package test.
•Identify systematic discrepancies between ATE, SLT and BLT results; define guard bands, screens, correlation metrics, and test methodology changes to reduce downstream fallout.
•Partner with Design, DFX, Test Engineering, Hardware, PQE, and SQE teams to identify DFx and ATE coverage gaps, then influence chip-level hooks, test modes, monitors, and observability features that improve testability and outgoing quality.
•Drive cross-functional forums to track end-to-end fallout across NVIDIA manufacturing, with clear ownership, closure criteria, and measurable reduction targets.
•Define and build AI / data-analytics-driven workflows to identify yield limiters, fallout signatures, systematic escapes, and early indicators of customer-quality risk.

Pay and Benefits

Salary: USD 168,000 - 258,750 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•BS degree in electrical engineering or equivalent experience.
•8+ years of work experience.
•Experience with product verification and failure analysis on Verigy 93K tester.
•Strong data engineering skillset, with proficiency in Python, C or C++, and statistical modeling of data using JMP software or other tools for data analysis
•Solid communication and presentation skills.

Experience:8+ yearsSemiconductorsHardwareAIData analytics

Education:Bachelor's in Electrical Engineering

Skills:CommunicationPresentationCollaborationProblem-solvingTeamwork

Languages:English

Tech Stack:PythonCC++JMP

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

Product Development Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Key Responsibilities

•Lead failure analysis of ATE-related escapes – specifically failures seen at system-level and customer RMAs. Determine root cause and drive corrective actions back into wafer sort and package test.
•Identify systematic discrepancies between ATE, SLT and BLT results; define guard bands, screens, correlation metrics, and test methodology changes to reduce downstream fallout.
•Partner with Design, DFX, Test Engineering, Hardware, PQE, and SQE teams to identify DFx and ATE coverage gaps, then influence chip-level hooks, test modes, monitors, and observability features that improve testability and outgoing quality.
•Drive cross-functional forums to track end-to-end fallout across NVIDIA manufacturing, with clear ownership, closure criteria, and measurable reduction targets.
•Define and build AI / data-analytics-driven workflows to identify yield limiters, fallout signatures, systematic escapes, and early indicators of customer-quality risk.

Pay and Benefits

Salary: USD 168,000 - 258,750 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•BS degree in electrical engineering or equivalent experience.
•8+ years of work experience.
•Experience with product verification and failure analysis on Verigy 93K tester.
•Strong data engineering skillset, with proficiency in Python, C or C++, and statistical modeling of data using JMP software or other tools for data analysis
•Solid communication and presentation skills.

Experience:8+ yearsSemiconductorsHardwareAIData analytics

Education:Bachelor's in Electrical Engineering

Skills:CommunicationPresentationCollaborationProblem-solvingTeamwork

Languages:English

Tech Stack:PythonCC++JMP

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