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NVIDIA

Designs the chips and software that power AI

Engineering Product Manager

Engineering LeadershipUpdated on Nov 13
Full-timeIn-person

About the Job

Requirements

  • At least 10 years of overall experience, including 5 years of leadership experience within the industry.
  • A bachelor's degree or equivalent experience.
  • A clear understanding of technical and logistical challenges involved in delivering industry-leading power solutions or server platforms.
  • Ability to empower and lead a multifunctional team in addressing sophisticated system, hardware, and software integration challenges.
  • Verbal, written, and presentation communication skills, organizational capabilities, and collaborative and interpersonal skills.
  • Experience collaborating with suppliers, development partners, and customers from product definition through mass production.
  • Ability to multitask and drive complex programs.

Responsibilities

  • Collaborate with senior leaders to develop product strategies and development plans for datacenter products and power solutions.
  • Own programs from concept and design through bring-up, validation, mass production, and sustaining.
  • Engage with JDM partners as an extension of the engineering team to achieve high product performance and quality, aligning all parties on requirements and timelines.
  • Develop, supervise, and refine product execution plans, including staffing, schedules, and contingencies, and test plans for precision.
  • Identify and communicate the most critical project priorities, and align and lead a multifunctional team to complete them.
  • Champion excellence and continuous process improvement, including automation and corrective actions.

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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