Product Data Operations Engineering Systems Analyst

Join NVIDIA, a technology pioneer, where we regularly redefine the boundaries of possibility. As a Product Data Operations Engineering Systems Analyst on the best Team, you will be part of a specialized group that develops innovation in product management tasks. This Santa Clara, CA role offers a great chance to partner with expert technology leaders. Your efforts will influence our product lifecycle and engineering workflows, guaranteeing detailed delivery and accomplishment in our innovative initiatives.

Responsibilities:

• Support Chip Product Life Cycle (PLC) setup, including engineering program changes, releases, and phase transitions across multiple engineering groups ensuring smooth transitions, team member alignment, readiness, and zero-disruption handoffs between engineering, planning, and manufacturing.

• Plan and drive program release governance by building and managing release schedules, tracking dependencies, and developing cutover plans; leading multi-functional release reviews; and confirming downstream readiness across materials, routing, flows, tests, yield targets, and locations.

• Translate engineering intent into manufacturable items by converting into the appropriate levels (e.g., wafers, CP programs, dice, assemblies, pre-finished and finished goods), while validating attribute completeness and accuracy (form/fit/function, revision control, traceability fields, and subcontract applicability).

• Work alongside engineers to transform material definitions into designated items and final SKUs, ensuring accurate arrangement in E2Open/Serus and seamless downstream integration into SAP.

• Collaborate with IT, subcontractors, and application partners to build and maintain I/O links and related objects. Ensure data integrity, detailed execution, and accurate completion of improvements.

• Define and manage production flows, processes, procedures, and change documents. Set up bill of materials and update yield, bin fractions, and test-time forecasts in E2Open/Serus. Create, route and handle manual deviations in the PLM application when necessary.

• Analyze data systems and operational processes to identify bottlenecks and inefficiencies. Then recommend and apply process improvements that improve scalability, reliability, and adaptability.

Requirements:

• Bachelor’s degree in business, engineering, or equivalent experience with 5+ years of experience in manufacturing.

• Familiarity with outsourced manufacturing OSAT and an understanding of the fabless semiconductor manufacturing flow is a must.

• Experience with E2openSerus, Agile, Windchill, SAP, Microsoft Suite, Tableau, Power BI, Visual Basics and AI Apps and Tools.

• Proficiency in data visualization web-based systems, Python, SQL, HTML, XML, is a plus but will be minimal.

• Strong organizational skills and the capacity to handle uncertainty, showing resilience and working odd hours.

• Experience in working across different functions and the ability to chip in effectively within a group.

• Outstanding written and verbal communication skills with a diligent and meticulous approach.

• Ability to translate business needs into development requirements and ensure the accuracy and integrity of engineering data across platforms.

NVIDIA offers highly competitive salaries and a comprehensive benefits package. You will also be eligible for equity and benefits.