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Über diese Senior Product Data Operations Engineering Systems Analyst Stelle bei NVIDIA

NVIDIA · Vor Ort · Taiwan, Hsinchu

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 motivated 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, encouraging 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.

Join NVIDIA, a pioneer in the technology field, where we consistently challenge the boundaries of possibility. As an Operations Engineering Systems Analyst in Product Data Operations Team, you will become part of a focused team that develops innovation within our product management activities. 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 set up done by you 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 detailed 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 and manual deviations in PLM App.

  • Analyzing data systems and processes to identify bottlenecks and inefficiencies, recommending and implementing process improvements to ensure data system adaptability.

What we need to see:

  • 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 is a must.

  • Experience with E2openSerus, Windchill, SAP, Microsoft Suite, OSAT including 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.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Über NVIDIA

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA .

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