Senior Solutions Architect, Ethernet Networking - NVIS

As a key member of the NVIDIA Infrastructure Specialists Solutions Architecture team, your role involves spearheading 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 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 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 10+ years of proficiency in networking fundamentals, Switching, Routing, TCP/IP, and data center architecture.

• Strong Ethernet, TCP/IP and Routing hands-on experience including BGP, VxLAN and EVPN Network troubleshooting using a Sniffer (8+ years)

• Strong Linux administration expertise with understanding of system-level issues, kernel drivers, PCIe devices, and computer hardware architecture (8+ years)

• Engages with clients for network requirement analysis, designs next-gen data center network architectures, and validates functionality through simulations. (6+ years)

• Extensive experience in consulting or/and technical support (6+ years)

• Background in datacenter engineering, CLOS networking architecture, or cloud applications is advantageous (4+ years)

• Plays a pivotal role in automation, delivering fully automated network provisioning solutions using Ansible, Salt, and Python. (3+ years)

• Proactive individual who can work independently, while prioritizing tasks to optimize technology and enhance customer experience.

• Strong abilities with technical presentations, providing internal and customers training.

• Ability to travel domestic and international up to 25% of the time as well as work non-standard working hours like during nights and weekends when needed

Ways to stand out from the crowd:

• Demonstrate strong social and collaboration skills as well as accountability for results.

• Experience with Kubernetes and Docker

• Familiarity with networking digital simulations, experience with NVIDIA Air, GNS3, EVE-NG Experience with network and server management tools like Grafana, Prometheus, Datadog, etc.

• Personal Git repository with examples of coding expertise in Python

• Experience with AI tools to boost work quality and meet project timelines

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 individuals in the world working for us. If you're creative and autonomous, 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 148,000 USD - 235,750 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.Applications for this job will be accepted at least until February 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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.