Manager, ASIC Chip - GPU

Reposted 6 Hours Ago
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Santa Clara, CA, USA
In-Office
196K-311K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead GPU ASIC development from concept through mass production. Coordinate architecture, RTL, verification, physical implementation, packaging, test and silicon bring-up. Track milestones, mitigate technical risks, and align cross-functional teams across IP, software, emulation, VLSI, and test to deliver high-performance GPU processors for AI datacenter products.
Summary Generated by Built In

Join NVIDIA's powerful GPU ASIC team and drive the innovation of future GPU processors for AI datacenter products. Our team is at the forefront of modern technology, and we are looking for an ambitious ASIC Chip Manager to help us achieve world-class performance. This is a groundbreaking opportunity to work with a diverse and dynamic group of professionals who are passionate about pushing the boundaries of what's possible. Please note working out of Santa Clara will be required for this position.

What you'll be doing:

  • Coordinate all aspects of GPU ASIC development from concept phase to mass-production.

  • Engage in architectural definition, silicon process and package selection, performance modeling, power budgeting, RTL development, and test implementation.

  • Define and track project achievements and dependencies, while coordinating activities across IP development, software, emulation, integration, physical development, and VLSI teams.

  • Collaborate with packaging, system design, DFT, test engineering, test software, and chip logistics teams to support silicon bring-up.

  • Ensure the flawless execution of projects by identifying and mitigating key technical risks.

What we need to see:

  • BSEE (MSEE / MSCE preferred) or equivalent experience.

  • Minimum of 10 overall years of industry experience with 5+ years of leadership in GPU or key sub-systems.

  • In-depth knowledge of SoC architectures, including CPU, GPU, and memory sub-systems.

  • Expertise in silicon process technology, yield analysis, and cost modeling.

  • Proficiency in front-end design flow, micro-architecture, unit partitioning, and pipelining.

  • Proficiency in innovative design verification techniques, tools, and methodologies.

  • Excellent written, verbal, and technical communication skills.

Ways to stand out from the crowd:

  • Proven track record of successfully implementing complex GPU ASIC projects.

  • Demonstrated ability to lead and encourage cross-functional teams.

  • Strong analytical skills and attention to detail.

  • Outstanding problem-solving abilities and a proactive approach.

  • Experience with AI and datacenter products.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 196,000 USD – 310,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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

  • BSEE or equivalent experience
  • MSEE or MSCE
  • Minimum of 10 years industry experience with 5+ years of leadership in GPU or key sub-systems
  • In-depth knowledge of SoC architectures including CPU, GPU, and memory sub-systems
  • Expertise in silicon process technology, yield analysis, and cost modeling
  • Proficiency in front-end design flow, micro-architecture, unit partitioning, and pipelining
  • Proficiency in design verification techniques, tools, and methodologies
  • Excellent written, verbal, and technical communication skills
  • Proven track record of implementing complex GPU ASIC projects
  • Demonstrated ability to lead and encourage cross-functional teams
  • Experience with AI and datacenter products

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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

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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