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NVIDIA

Designs the chips and software that power AI

Director Silicon Operations Production Planning

Production Planning & SchedulingConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 12 years of overall work experience in semiconductor operations, supply planning, supply chain, or a relevant area, including at least 8 years managing teams with direct reports.
  • A degree in Industrial Engineering or Business Administration, or equivalent experience in semiconductor planning.
  • Effective communication, problem-solving, teamwork, organizational, and quantitative skills.
  • Ability to balance important details with concise summaries of the big picture to drive decisions with senior and executive management.
  • Proficiency with business software applications such as Microsoft Office, Excel VBA, SAP, SAP APO, IBP, Windchill, and industry-leading advanced planning software.
  • Excellent English reading, writing, speaking, and listening skills.

Responsibilities

  • Build and lead a team of operations supply planners, connecting Operations, Engineering, and Business Units to set priorities and supply strategies.
  • Own operations supply commitments for multiple advanced packaging chip product families supporting customer and revenue commitments.
  • Present supply challenges to management and recommend resolutions, including capacity and material investments, trade-offs, and risk decisions.
  • Lead development of optimized production schedules across products and SKUs, considering die availability, priorities, material availability, and constraints; influence dependent demand decisions for high-bandwidth memories, interposers, substrates, and other materials to support the build plan.
  • Collaborate with wafer planning, datacenter systems planning, and business unit representatives to align supply strategies and optimize build plans to meet demand, including resolving alignment issues between wafer supply and the finished-goods build plan.
  • Determine trade-off options when capacity, materials, or production issues prevent meeting all demand, and work with internal partners to develop the optimal plan.
  • Work with program managers and engineers to facilitate product ramp plans from early-stage sampling through high-volume production.
  • Recommend improvements to NVIDIA and subcontractor management to raise key performance indicators, including committed shipment hit rate, cycle time, and production line efficiency.

Desired Qualifications

  • Background or experience in engineering and advanced packaging operations.
  • Consistent ability to develop solutions to operational problems that hinder achievement of goals.
  • Ability to lead internal and external team members and establish preventive action plans to improve overall company performance.
  • Expertise using AI tools to improve work efficiency and quality.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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