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Manager, ASIC Chip - GPU

NVIDIA· Mgmt, Hardware (Engineering)
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Santa Clara, CA$196k - $310.5kfull-timePosted 3mo ago

About the role

ASIC Chip Manager responsible for coordinating GPU ASIC development from concept to mass production, with focus on architecture, process, RTL, and cross-functional collaboration for Nvidia’s AI datacenter GPU products.

Responsibilities

  • 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.

Qualifications

  • 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.

Skills

Required:GPU ASIC project leadershipSoC architecture knowledgesilicon process technologyfront-end design flow, micro-architecture, unit partitioning, and pipeliningdesign verificationcommunication skills

Benefits

  • equity
  • benefits (see company benefits page)
Last updated Aug 7, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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