NVIDIA networking designs and manufactures high-performance networking equipment that enable the most powerful super computers in the largest data centers in the world. With a distributed collection of NVIDIA GPUs inter-connected by networking solutions such as InfiniBand, Ethernet, or RoCE (RDMA over Converged Ethernet) we make powerful ML/AI platforms possible. We believe in our people and our products. We are seeking motivated, personable, and independent individuals to join our team!
We seek experienced software networking engineers to help support our groundbreaking, innovative technologies that make AI workloads in large clusters even more performant. As a networking Solutions Architect at NVIDIA you will have agency and palpable effects on the business, and work closely with customers and R&D teams.
What you’ll be doing:
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Support networking technologies such as Spectrum-X and work with customers on their technical challenges and requirements using said technologies during pre-sales activities
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Develop proof-of-concept materials for innovative technologies for use by early adopters
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Gain customers’ trust and understand their needs to help design and deploy cutting-edge NVIDIA networking platforms to run AI and HPC workloads
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Address sophisticated and highly-visible customer issues
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Work closely with R&D teams to develop new features for customers
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Help with product requirements along side engineering and product marketing
What we need to see:
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10+ years of experience with computer software, knowledge of Linux kernel, Ethernet and IP protocols
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B.Sc, Masters, or Ph.D. in Computer Science, Electrical Engineering, or related technical field (or equivalent experience)
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Extensive knowledge in, and experience with debugging issues involving Ethernet Switches/Routers and network protocols
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Strong analytical and problem-solving skills, with attention to details
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Ability to work collaboratively and be willing to work directly with customers
Ways to stand out from the crowd:
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Coding development experience with multiple programming languages (from low-level C programming language to high-level languages such as perl, python, and shell scripts)
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Knowledge in Cloud infrastructure and AI workflows
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Linux Environment and Linux Networking
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Familiarity with NVIDIA DPUs, RoCE, and RDMA concepts
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. The high-speed networking solutions enable GPUs for large scale deployments. Our work opens new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous vehicles. NVIDIA is looking for excellent people like you to help us accelerate the next wave of artificial intelligence. 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 creative and self-motivated, we want to hear from you!
The base salary range is 220,000 USD - 339,250 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
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.”