Level

NVIDIA

Chip Engineering Operations Program Manager

NVIDIA is hiring a Chip Engineering Operations Program Manager in Santa Clara, United States. It pays $136k-$213k a year and Level rates it ; you can apply on Level.

AI in this role

Manage silicon bring-up schedules, wafer forecasts, and engineering operations for semiconductor products at NVIDIA.

program-managementasic-designsemiconductoroperations

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.


The in-office requirement for this role is 5 days a week at our Santa Clara, CA headquarters.


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 October 10, 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.

How we rate this

Chip Engineering Operations Program Manager at NVIDIA rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Program ManagementAsic DesignSemiconductorOperations

Questions you could be asked

  1. Tell me about a project where program management was part of your work. What did you do?
  2. Tell me about a project where asic design was part of your work. What did you do?
  3. Tell me about a project where semiconductor was part of your work. What did you do?
  4. Tell me about a project where operations was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Program Management, Asic Design, Semiconductor, and Operations. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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