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.
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 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.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000 USD - 212,750 USD for Level 4, and 168,000 USD - 258,750 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
