Senior Solutions Architect, Ethernet Networking

As a key member of the NVIDIA Networking Solution Architecture team, your role involves orchestrating the conception, development, and execution of ground-breaking data center networks for NVIDIA customers under the Plan, Design, & Implement (PDI) framework. You will play an important role in advancing comprehensive technology solutions for our strategic clientele in web2.0, cloud, HPC AI, and enterprise datacenter domains. Additionally, you will be tasked with identifying areas for improvement in business technology, providing valuable insights, and furnishing recommendations to both marketing and engineering teams to improve our overall product strategy.

What you’ll be doing:

• Providing Ethernet and routing expertise to customers during project delivery to design, architect and test Ethernet networking AI solutions
• Work on multi-functional teams to provide Ethernet network expertise to server infrastructure builds, accelerated computing workloads and GPU enabled AI applications
• Crafting and evaluating DevOps automation scripts for network operations, crafting network architectures, and developing switch fabric configurations.
• Implementing tasks related to network configuration and validation for data centers.
• Create Methods of Procedure and deployment documents
• Validate network architectures and configs in the lab
• Interact with customers to obtain required information to design and build an optimal solution
• Use software tools to validate and monitor network performance

What we need to see:

• Bachelor’s degree in engineering, Computer Science, Mathematics or Physics or equivalent experience with 8+ years of proficiency in networking fundamentals, Switching, Routing, TCP/IP, and data center architecture.
• Strong Routing hands-on experience including BGP, VxLAN and EVPN (8+ years)
• Strong Linux administration expertise (5+ years)
• Engages with clients for network requirement analysis, designs next-gen data center network architectures, and validates functionality through simulations. (6+ years)
• Background in datacenter engineering, CLOS networking architecture, or cloud applications is advantageous (4+ years)
• Requires understanding of system-level issues, Linux OS, kernel drivers, PCIe devices, and computer hardware architecture.
• Proactive individual with the ability to work independently, prioritizing tasks to optimize technology and enhance customer experience.
• Experience with AI tools to improve work quality and meet project deadlines
• Strong interpersonal skills, strong abilities with technical presentations, providing internal and customers training.
• Ability to travel domestic up to 10% of the time

Ways to stand out from the crowd:

• Combination of strong interpersonal skills and technical proficiency
• Demonstrate excellent teamwork and accountability for results.
• Understand networking fundamentals, including "life of a packet" as it traverses through a data center
• Familiarity with networking digital simulations, experience with NVIDIA Air, GNS3, EVE-NG

We have some of the most forward-thinking and hardworking individuals in the world working for us.

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 September 8, 2026.

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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.