Senior Chip Engineering Operations Program Manager

Posted 3 Days Ago
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Yokneam
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Manage silicon schedules from bring-up to production, negotiate demands, oversee deliveries, mitigate risks, and improve internal processes.
Summary Generated by Built In

NVIDIA's New Product Introduction (NPI) team is growing, and We are now looking for a Chip Engineering Operations Program Manager.! The NVIDIA Engineering Operations group has an immediate opening for a top Program Manager. This group is responsible for the silicon schedule from bring-up to production release. We are looking for individuals who thrive in a dynamic environment, and are not afraid to roll-up his their sleeves and get their hands dirty. We desire a self-starter, with great communication skills; as well as a leader, with a deep sense of commitment. You will be responsible for developing wafer forecasts, schedule generation and management, supporting cross-functional teams, and mitigating any programmatic risks. You will also review and improve processes, and handle prototype demand.

NVIDIA Networking division is a leading supplier of innovative end-to-end NVLINK, InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading solutions that include adapter cards, switches, cables, and software to support networking technologies. Our products optimize data center performance, using NVIDIA’s AI solution and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of sectors, including high-performance computing, enterprise, data centers, cloud computing, big data, and Web 2.0.

What you'll be doing:

  • You 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

What we need to see:

  • Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Materials Science, or a related technical field

  • At least 5 years of relevant experience

  • Proven experience in engineering roles, with a significant portion focused on semiconductors industry

  • Strong background in planning methodologies

  • Excellent communication, interpersonal, and leadership skills to effectively collaborate with internal teams

  • Ability to travel internationally to supplier sites as needed

Ways to stand out from the crowd:

  • 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

  • Have the ability to work independently and follow complex procedures

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're a creative manager, with a real passion for managing teams to deliver cutting-edge processors, we want to hear from you! Come, join our CPU Architecture team, and help build the real-time, cost-effective computing platform driving our success across multiple quickly growing fields ranging from the data center to autonomous vehicles.

Top Skills

Planning Methodologies
Semiconductor Industry Knowledge
Sw Tools For Data Analytics
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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