We are looking for an expert, bright, focused, analytical and motivated capacity planner to join our networking chip operations team responsible for networking chip capacity planning. Presently, we are exploring the boundless capabilities of AI to build the upcoming age of computing. A time when NV products serve as the central intelligence of computers, robots, and self-driving cars capable of comprehending the world. Achieving outstanding feats demands foresight, creativity, and outstanding individuals. 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.
What You'll Be Doing:
Collaborating with cross-functional teams to manage/analyze Chip capacity.
Build Capex investment plans and present to high management.
Planning cycle execution
Data analysis metrics to identify focus areas
Tracking test time and equipment status to have most updated assumption reflected in planning models
Sensitivity analysis / multi year plans
NPI / R&D capacity mapping and roadmap
What We Need To See:
B.Sc. in Industrial Engineering, Manufacturing Engineering, or equivalent experience
5+ years’ experience in an engineering and/or manufacturing environment in the Chip industry
Seasoned capacity planner
Knowledge and experience in Semiconductor industry (Fabless company – Advantage)
Excellent analytical skills in Excel and PowerPoint
Performs well in an intensive and dynamic environment.
Experience working with multicultural supply chain (Advantage)
Ways To Stand Out From The Crowd:
Knowledge of semiconductor equipment and production processes
Team player with good interpersonal relations
Goals oriented – meet goals and due dates
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.”
