Manager, Chip Design

Reposted 2 Days Ago
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Yokneam
In-Office
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead a team of design engineers in developing RTL units for Networking Silicon chips, ensuring delivery and verification of complex designs.
Summary Generated by Built In

We are now looking for a Chip Design Manager to join our Network Adapter Silicon group. As a Chip Design Manager at NVIDIA's Networking business unit, you'll join a group of passionate professionals to design, lead the implementation of the next generation state-of-the-art Networking Silicon chips . In this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!

What you’ll be doing:

  • Lead a team of design and verification engineers that develops core units within the NIC silicon.

  • Be responsible for the delivery of complex RTL units and its verification.

  • Work closely with multiple teams within organizations such as Architecture, Full chip Micro-Architecture, BE, and FW.

What we need to see:

  • 3+ years of managerial experience.

  • 6+ overall years of experience in RTL of complex design or complex verification.

  • Electrical Engineering B.Sc., Computer Engineering or other relevant engineering department graduate with high scores, or equivalent experience.

  • Self-motivated, ability to work, lead and drive tasks to completion.

  • A team player with good communication and interpersonal skills.

  • Dynamic verification hands on experience - an advantage.

  • Knowledge in network protocols – an advantage.

Ways to stand out from the crowd:

  • Background in Specman and Verilog.

  • Knowledge in Networking, ASIC System Integrations

  • Great interpersonal skills.

Top Skills

Asic System Integrations
Networking
Rtl
Specman
Verilog
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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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