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Chip Engineering Operations Program Manager

NVIDIA· Program Mgr, Technical
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Santa Clara, CA$136k - $212.8kFull-timePosted 2w ago

About the role

NVIDIA is hiring a Chip Engineering Operations Program Manager to manage the silicon schedule from bring-up to production release, develop wafer forecasts, coordinate cross-functional teams, mitigate programmatic risks, and drive process improvements in the Engineering Operations group.

Responsibilities

  • 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

Qualifications

  • 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
  • Ability to work independently and follow complex procedures
  • Proficient with MS Project and Excel

Benefits

  • equity
  • benefits (as listed by NVIDIA)
Last updated Oct 23, 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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