Hiring.Camp

Engineering Product Manager

Nvidia

·

Today

Location
US, CA, Santa Clara, United States of America
Type
Full-time
Department
Engineering
Seniority
Manager
Education
Bachelor
Source
Workday

Description

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. NVIDIA is looking for an Engineering Product Manager to develop products for AI, high performance computing, and other datacenter markets.


What you'll be doing:

  • Collaborate with senior leaders to develop product strategies and development plans for datacenter products and power solutions. Own programs from concept and design through bring-up, validation, and mass production.
  • Engage with JDM partners as an extension of the engineering team to achieve the highest levels of product performance and quality. Align all parties with clear requirements and timelines.
  • Develop, supervise and refine product execution plans included staffing, schedules, contingencies. Test all plans against precision.
  • Continually identify and communicate the most critical priorities on the project. Align and lead a multi-functional team to complete those priorities.
  • Champion excellence, continuous process improvement, including automation and corrective actions.

What we need to see:

  • 10+ years of overall experience with 5 years of leadership experience within the industry
  • Bachelors degree or equivalent experience
  • Clear understanding of technical and logistic challenges that need to be met to deliver industry leading power solutions or server platforms
  • Ability to empower and lead a multi-functional team to tackle sophisticated System/HW/SW integration challenges
  • Excellent verbal, written and presentation communications skills, organizational capabilities, and collaborative and interpersonal skills
  • Collaboration experience with suppliers, development partners, and customers from product definition through mass production
  • Ability to multi-task and drive complex programs

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers! We have some of the most forward-thinking and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Artificial Intelligence, Deep Learning, Autonomous Vehicles, and Robotics. We have a real passion for perfection and for building products that excite the imagination. If you share these values and have the experience and skills to participate, we would love to have you join our team.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 19, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

Skills

Deep Learning

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