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.
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.
You will also be eligible for equity and benefits.
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.
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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.
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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.
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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
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.”
