Senior Software Architect - GPU Fabric Networking

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2 Locations
In-Office or Remote
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.

We are looking for highly motivated Senior Architect to work on our GPU NVLink Fabric Networking team. You’ll be part of a team responsible for defining next generation communications standards and products building on our current NVLink and NVSwitch technology.

What you will be doing:

  • Define and drive the architecture of next-generation NVLink and NVSwitch fabric software, with a focus on performance, security and resiliency in large-scale GPU systems.

  • Lead interface definition, configuration, and management flows between NVLink, NVSwitch and GPU Subsystems.

  • Collaborate with cross-functional teams including research, hardware, firmware, and software and guide architectural designs from concept through implementation.

  • Develop and influence the NVLink roadmap, mentor and grow emerging architects and engineering teams.

What we need to see:

  • B.S. or M.S. in Computer Science, Computer Engineering, or a related field or equivalent experience.

  • 10+ years of experience in system architecture and design, with a strong track record of building scalable, high-performance systems.

  • Deep expertise at the software/hardware interface, with experience architecting complex server systems.

  • Excellent C/C++ programming and debugging skills.

  • Shell scripting experience. Python and Perl experience is a plus.

  • Experience with multi-core, multi-threaded, and multi-process programming models.

  • Strong understanding of networking fundamentals and high-performance networks like Ethernet/IB.

  • Experience with OS virtualization technologies like KVM/QEMU/Hyper-V etc.

  • Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:

  • Understanding of CUDA programming model and NVIDIA GPUs.

  • Knowledge of memory coherence and consistency models.

  • Experience with pre-silicon and post-silicon bring-up, including emulation, simulation, and early validation environments.

We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 29, 2025.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.

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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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