Chip Engineering Operations Program Manager

NVIDIA•Santa Clara, CA
•$136,000 - $258,750•Onsite

About The Position

NVIDIA's Engineering Operations group is responsible for the silicon schedule from bring-up to production release. The Chip Engineering Operations Program Manager owns the silicon bring-up schedule, develops wafer forecasts, generates and manages schedules, supports cross-functional teams, mitigates program risks, improves processes, and manages prototype demand. The role requires working in a dynamic environment and coordinating with technical and business teams. This position is based at NVIDIA's Santa Clara, California headquarters and requires working in the office five days a week. The base salary range is $136,000–$212,750 for Level 3 and $168,000–$258,750 for Level 4, depending on location, experience, and the pay of employees in similar positions. The role is also eligible for equity and benefits.

Requirements

  • Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field, or equivalent experience.
  • At least 5 years of experience 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, driven, highly motivated, and creative, with a consistent record of handling multiple tasks at a time.
  • Ability to work independently and follow complex procedures.
  • Proficiency with MS Project and Excel.

Responsibilities

  • Own the silicon bring-up schedule from power-on through 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 and validation tasks during new product introduction.
  • Identify and mitigate risks to schedules and programs.
  • Communicate status to cross-functional teams and upper management.
  • Continuously evaluate internal tools and processes and drive fixes to improve productivity.
  • Create new processes and fix existing processes between teams.
  • Drive implementation of software tools for data analytics and process evaluation.

Benefits

  • Equity
  • Benefits
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