Product Data Operations Engineering Systems Analyst
NVIDIA Gruppe
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self‑driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. As an Operations Engineering Systems Analyst in the Product Data Operations Team, you will become part of a focused team that fosters innovation within our product management activities. Situated in Santa Clara, CA, this role presents a remarkable opportunity to collaborate with outstanding technology and highly driven experts. Your input will influence our product lifecycle and engineering operations, ensuring detailed delivery and achievement in our innovative projects. What you'll be doing: Supporting Product Life Cycle set‑up and program releases across various engineering groups, ensuring smooth transitions through life cycle changes. Collaborating closely with Product Development Engineers and Planning groups to understand manufacturing and planning requirements from new product introductions to mass production phases. Working with Engineers to translate materials into pre‑finished goods and final SKU definitions, ensuring accurate data flow 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 flawless execution. Detailing production flows, process, procedures, and changes, and actively generating authorizations, setting up bill of material, updating yield, bin fraction, and test time forecasts in E2OpenSerus. Analyzing data systems and processes to identify bottlenecks and inefficiencies, recommending and implementing process improvements to ensure data system robustness. What we need to see: Bachelor’s degree in business, engineering, or equivalent experience. 8+ years of experience in manufacturing. Familiarity with outsourced manufacturing and an understanding of the fabless semiconductor manufacturing flow. Experience with E2openSerus, Windchill, SAP, Microsoft Suite including Power BI and Visual Basics. Proficiency in data visualization web‑based systems, Python, SQL, HTML, XML, is a plus. Strong organizational skills and the capacity to handle uncertainty, showing resilience. 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. Compensation and Benefits Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000USD – 212,750USD for Level4, and 168,000USD – 258,750USD for Level5. You will also be eligible for equity and benefits. We are committed to fostering a diverse work environment and are proud to be an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #J-18808-Ljbffr NVIDIA Gruppe
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- NVIDIA Gruppe is seeking an Operations Engineering Systems Analyst in Santa Clara, CA. In this role, you will support the Product Life Cycle and work closely with engineers to ensure data integrity and improved production processes. The ideal candidate will have a Bachelor...Suggested
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