Senior System Architect, High-Speed Interconnects

Reposted 13 Hours Ago
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2 Locations
In-Office
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead architectural definition and technology roadmap for high-speed interconnect systems, optimizing performance via collaboration and standardization in AI platforms.
Summary Generated by Built In

At NVIDIA, we are building the AI factories that power the future of human intelligence! As we scale from thousands to millions of GPUs, the "pipes" that connect them have become the most critical bottleneck in modern computing. This is where you come in! We are looking for a visionary Senior System Architect to lead the charge in defining how we move data at speeds the world has never seen. We want to bridge the gap between silicon and the rack, ensuring our NVLink and InfiniBand fabrics remain the gold standard for performance. This is a chance to join a team where we don't just follow industry standards—we set them!

You will work at the intersection of Signal Integrity (SI), Mechanical Engineering, and System Protocol design to ensure that our NVLink and InfiniBand/Ethernet fabrics scale to terabit-per-second speeds with industry-leading power efficiency and reliability.

What You’ll Be Doing:

  • Architectural Definition: Lead the end-to-end definition of high-speed interconnect systems for next-gen AI platforms (e.g., Rubin and beyond), focusing on 224G/448G PAM4 lanes and beyond.

  • Technology Roadmap: Evaluate and select pioneering technologies such as Co-Packaged Optics (CPO), Silicon Photonics, and advanced OSFP/QSFP-DD form factors.

  • System Co-Design: Collaborate with ASIC, Thermal, and PCB teams to optimize the "Silicon-to-Connector" path, minimizing insertion loss and improving signal integrity.

  • Standardization Leadership: Represent NVIDIA in industry standards bodies (e.g., IEEE 802.3, OCP, MSA) to influence the future of high-speed connector and cable specifications.

  • Vendor Ecosystem: Work with world-class connector and cable vendors to drive custom mechanical and electrical designs that meet NVIDIA's unique performance requirements.

  • Performance Modeling: Conduct trade-off analyses between reach, power, latency, and cost for various interconnect media (Copper vs. Optical).

What we need to see:

  • Deep understanding of Channel Operating Margin (COM), BER, FEC, and crosstalk in 112G and 224G PAM4 environments.

  • Expert knowledge of PCIe (Gen 6/7), Ethernet (800G/1.6T).

  • Sophisticated knowledge of OSFP, QSFP-DD, and SFP-DD form factors; experience with DAC, ACC, and AOC architectures.

  • Familiarity with Silicon Photonics, CPO, and MPO/APC fiber architectures.

  • B.Sc./M.Sc. or PhD or equivalent experience in Electrical Engineering, Physics, or related field.

  • 12+ years in high-speed hardware design or system architecture, with a proven track record of shipping high-volume data center products.

  • Ability to predict technology bottlenecks 3–5 years in advance.

  • Multi-functional Influence: Ability to align Software, Hardware, and Thermal teams on a single architectural vision.

  • Exceptional ability to present complex trade-offs to executive leadership.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family. 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

Co-Packaged Optics
Ethernet
Infiniband
Nvlink
Osfp
Pcie
Qsfp-Dd
Sfp-Dd
Silicon Photonics
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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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