NVIDIA

1 month ago

Product Data Operations Engineering Systems Analyst

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Join NVIDIA in Hsinchu, Taiwan as a Product Data Operations Engineering Systems Analyst. You’ll manage end-to-end chip product lifecycle data, drive release governance, translate engineering data into manufacturable item structures, ensure SAP/E2OpenSerus data integrity, collaborate with IT and suppliers, and implement process improvements to optimize data systems across engineering, planning, and manufacturing teams.

Location: Taiwan

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Key Responsibilities

•Support end-to-end Chip Product Life Cycle setup and engineering program changes, releases, and phase transitions across engineering groups with zero-disruption handoffs.
•Plan and drive program release governance, manage release schedules, dependencies, cutover plans, and confirm downstream readiness (materials, routing/flows, test, yields, locations).
•Translate engineering intent into manufacturable item structures, validating attribute completeness and traceability across levels (goods, wafers, CP programs, dices, assemblies).
•Maintain accurate data configuration in E2OpenSerus and transfer into SAP, partnering with Engineers to convert materials into SKUs.
•Collaborate with IT and suppliers to generate and maintain I/O links, ensuring data integrity and implementing improvements.

Key Requirements

•Bachelor’s degree in business, engineering, or equivalent with 5+ years of experience in manufacturing.
•Familiarity with outsourced manufacturing OSAT and an understanding of the fabless semiconductor manufacturing flow.
•Experience with E2OpenSerus, Windchill, SAP, Microsoft Suite, OSAT including Power BI, Visual Basic and AI Apps and Tools.
•Proficiency in data visualization web-based systems, Python, SQL, HTML, and XML.
•Strong organizational skills and the ability to work across functions and handle uncertainty.

Experience:5+ yearsSemiconductorManufacturingData management

Education:Bachelor's

Skills:CommunicationProblem-solvingTeamworkData visualization

Tech Stack:E2openSerusWindchillSAPPower BIPythonSQLHTMLXML

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 Data Operations Engineering Systems Analyst

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Taiwan

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Key Responsibilities

•Support end-to-end Chip Product Life Cycle setup and engineering program changes, releases, and phase transitions across engineering groups with zero-disruption handoffs.
•Plan and drive program release governance, manage release schedules, dependencies, cutover plans, and confirm downstream readiness (materials, routing/flows, test, yields, locations).
•Translate engineering intent into manufacturable item structures, validating attribute completeness and traceability across levels (goods, wafers, CP programs, dices, assemblies).
•Maintain accurate data configuration in E2OpenSerus and transfer into SAP, partnering with Engineers to convert materials into SKUs.
•Collaborate with IT and suppliers to generate and maintain I/O links, ensuring data integrity and implementing improvements.

Key Requirements

•Bachelor’s degree in business, engineering, or equivalent with 5+ years of experience in manufacturing.
•Familiarity with outsourced manufacturing OSAT and an understanding of the fabless semiconductor manufacturing flow.
•Experience with E2OpenSerus, Windchill, SAP, Microsoft Suite, OSAT including Power BI, Visual Basic and AI Apps and Tools.
•Proficiency in data visualization web-based systems, Python, SQL, HTML, and XML.
•Strong organizational skills and the ability to work across functions and handle uncertainty.

Experience:5+ yearsSemiconductorManufacturingData management

Education:Bachelor's

Skills:CommunicationProblem-solvingTeamworkData visualization

Tech Stack:E2openSerusWindchillSAPPower BIPythonSQLHTMLXML

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