Principal Switch Engineering Architect

Posted 2 Days Ago
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Santa Clara, CA
Expert/Leader
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Principal Switch Engineering Architect will define the architecture for NVIDIA's next generation of switch products, working on both Ethernet and InfiniBand. Responsibilities include deep understanding of switch architecture, addressing performance issues, collaborating with design teams, and defining product requirements over a broad spectrum of technical interfaces.
Summary Generated by Built In

NVIDIA networking unit is a world-leader fast-growing company which supports the most powerful supercomputers in the world. We make outstanding artificial intelligence happen and accelerate Open-AI’s Chat-GPT, for example. We believe in our people and products and seek excellent people to join us!

We're looking for a hardware u/architect for our switch division. In this position, as part of a small (~10 employees) elite team, you will have the chance to define the architecture of NVIDIA’s next generation switch product lines, both Ethernet and InfiniBand. Your role will be cross-disciplinary, working with software, ASIC design, verification, physical design and platform teams.

What you'll be doing:

  • Learn and understand the switch u/architecture thoroughly across all aspects, and eventually turn into a source of information for design and verification engineers in the team.

  • Define the implementation of the most sophisticated features and algorithms of our next products, balancing architecture requirements with backend, execution, and design considerations.

  • Understand our system requirement and help define the POR of our switch product line.

  • Face the most challenging Full-Chip correctness and performance issues, which cannot be handled by the units’ designers as they require full cross-unit understanding of the chip.

  • Work closely with board and package design to understand the different design limitations: power, di/dt, temperature, signal-integrity etc.

  • Thoroughly understand Ethernet, InfiniBand and NvLink protocols.

What we need to see:

  • B.S or MS. in Electrical Engineering or equivalent experience

  • More than 15 years of experience in ASIC development

  • More than 7 years of experience in uArch/Arch definitions of networking ASICs

  • at least 6 years of hands on experience in writing Verilog/VHDL

  • Strong analytic capabilities, and passion for solving logical issues

  • Ability to drive complex activities involving many interfaces and teams

  • Good communications skill

Ways to stand out from the crowd:

  • Knowledge in switching fabrics with strict performance requirements. (Networking, SOC connectivity, etc)

  • Experience as an HW-architect.

  • Familiar with working on large high-end ASICs.

The base salary range is 272,000 USD - 419,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

Verilog,Vhdl
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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