Chip Engineering Operations Program Manager

Posted Yesterday
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Santa Clara, CA, USA
In-Office
136K-259K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Manage silicon bring-up schedules from power-on to production release. Create wafer forecasts, negotiate chip/board demand and allocations, lead prototype deliveries, track NPI milestones, mitigate schedule risks, improve processes, and drive analytics tool implementation.
Summary Generated by Built In

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, we are increasingly known as “the AI computing company”. We are looking to grow our company, and grow our teams with the smartest people in the world.

We are now looking for a Chip Engineering Operations Program Manager! The NVIDIA Engineering Operations group has an immediate opening for a top Program Manager. This group is responsible for the silicon schedule from bring-up to production release. We are looking for individuals who thrive in a dynamic environment, and are not afraid to roll-up his their sleeves and get their hands dirty. We desire a self-starter, with great communication skills; as well as a leader, with a deep sense of commitment. You will be responsible for developing wafer forecasts, schedule generation and management, supporting cross-functional teams, and mitigating any programmatic risks. You will also review and improve processes, and handle prototype demand.

What you’ll be doing:

  • You own silicon bring-up schedule from power on to production release

  • Negotiate silicon and board demand with teams and drive a bottom-up forecast

  • Oversee and manage chip and board allocations across the company

  • Lead prototype chip delivery to internal customers

  • Track and coordinate engineering deliverables, key milestones and qualification/validation tasks in the new product introduction phase

  • Identify and mitigate risks to schedules and programs

  • Communicate status to cross-functional teams as well as upper management

  • Continuously evaluate internal tools and processes and drive fixes to improve productivity

  • Create new and fix existing processes between different teams

  • Drive implementation of SW tools for data analytics and process evaluation

What we need to see:

  • BS degree in Electrical or Computer Engineering or related (or equivalent experience)

  • 5+ years in Semiconductor Program Management, ASIC Product Engineering, or ASIC design

  • Deep understanding of ASIC Technology and Productization requirements

  • Strong verbal and written communication skills, and the ability to coordinate with multiple technical and business teams

  • Self-directed and driven, highly motivated, creative, and have a consistent record of handling multiple tasks at any given time

  • Have the ability to work independently and follow complex procedures

  • Proficient with MS Project and Excel

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 14, 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 Required

  • BS in Electrical or Computer Engineering or related (or equivalent experience)
  • 5+ years in Semiconductor Program Management, ASIC Product Engineering, or ASIC design
  • Deep understanding of ASIC technology and productization requirements
  • Strong verbal and written communication skills and ability to coordinate cross-functional teams
  • Self-directed, highly motivated, able to handle multiple tasks concurrently
  • Ability to work independently and follow complex procedures
  • Proficiency with MS Project and Excel

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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