NVIDIA

1 month ago

Senior 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

Senior role focusing on product data operations within manufacturing, coordinating product lifecycle setup, data integrity across SAP/E2OpenSerus, and collaboration with product development, planning, IT, and suppliers to optimize data-driven manufacturing processes in a silicon semiconductor environment.

Location: Taiwan

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Supporting Product Life Cycle set-up and program releases across various engineering groups, ensuring smooth transitions through life cycle changes.
•Collaborating with Product Development Engineers and Planning groups to understand manufacturing and planning requirements from new product introductions to mass production phases.
•Translating materials into pre-finished goods and final SKU definitions, ensuring data set up flows into E2OpenSerus and SAP systems.
•Partnering with IT, subcontractors, and application companies to generate and maintain I/O links and other objects, ensuring data integrity and detailed execution.
•Detailing production flows, processes, and changes, and generating authorizations, setting up bill of materials, updating yield, bin fraction, and test time forecasts in E2OpenSerus and PLM App.

Key Requirements

•Bachelor’s degree in business, engineering, or equivalent with 8+ 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, XML.
•Strong organizational skills and the capacity to handle uncertainty, showing resilience and working odd hours.

Education:Bachelor's

Skills:CommunicationProblem-solvingCollaborationStakeholder managementAttention to detail

Tech Stack:PythonSQLHTMLXMLPower BIVisual BasicE2openSerusWindchillSAPOSATPLM

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

Senior 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: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Supporting Product Life Cycle set-up and program releases across various engineering groups, ensuring smooth transitions through life cycle changes.
•Collaborating with Product Development Engineers and Planning groups to understand manufacturing and planning requirements from new product introductions to mass production phases.
•Translating materials into pre-finished goods and final SKU definitions, ensuring data set up flows into E2OpenSerus and SAP systems.
•Partnering with IT, subcontractors, and application companies to generate and maintain I/O links and other objects, ensuring data integrity and detailed execution.
•Detailing production flows, processes, and changes, and generating authorizations, setting up bill of materials, updating yield, bin fraction, and test time forecasts in E2OpenSerus and PLM App.

Key Requirements

•Bachelor’s degree in business, engineering, or equivalent with 8+ 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, XML.
•Strong organizational skills and the capacity to handle uncertainty, showing resilience and working odd hours.

Education:Bachelor's

Skills:CommunicationProblem-solvingCollaborationStakeholder managementAttention to detail

Tech Stack:PythonSQLHTMLXMLPower BIVisual BasicE2openSerusWindchillSAPOSATPLM

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