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 embedded engineers to help support our groundbreaking, innovative technologies that make AI workloads in large clusters even more performant. As a networking Sr. 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:
Support networking technologies such as Spectrum-X and work with customers on their technical challenges and requirements using said technologies during pre-sales activities
Develop proof-of-concept materials for innovative technologies for use by early adopters
Gain customers’ trust and understand their needs to help design and deploy groundbreaking NVIDIA networking platforms to run AI and HPC workloads
Address sophisticated and highly visible customer issues
Work closely with R&D teams to develop new features for customers
Help with product requirements alongside engineering and product marketing
What we need to see:
8+ years of experience with real time embedded computer software, knowledge of Linux kernel, Ethernet and IP protocols
B.Sc, Masters, or Ph.D. in Computer Science, Electrical Engineering, or related technical field (or equivalent experience)
Extensive knowledge in, and experience with debugging issues
Strong analytical and problem-solving skills, with attention to details
Ability to work collaboratively and be willing to work directly with customers
Proven experience with Firmware level code development for Networking products
Background with common sideband management protocols including NC-SI (Network Controller Sideband Interface), MCTP (Management Component Transport Protocol), and RMII (Remote Management Interface)
Ways to stand out from the crowd:
Coding development experience with multiple programming languages (from low-level C programming language to high-level languages such as Perl, python, and shell scripts)
Knowledge in Cloud infrastructure and AI workflows
Linux Environment and Linux Networking
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 outstanding 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!
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.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- 8+ years experience with real-time embedded software
- Knowledge of Linux kernel
- Knowledge of Ethernet and IP protocols
- B.Sc, Masters, or Ph.D. in Computer Science, Electrical Engineering, or related field (or equivalent experience)
- Extensive debugging experience
- Strong analytical and problem-solving skills
- Ability to work collaboratively and directly with customers
- Proven firmware-level code development experience for networking products
- Background with NC-SI, MCTP, and RMII sideband management protocols
- Coding experience with multiple languages (C, Perl, Python, shell)
- Knowledge of Cloud infrastructure and AI workflows
- Familiarity with NVIDIA DPUs, RoCE, and RDMA concepts
- Experience in Linux environment and Linux networking
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
