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.
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.