New offer - be the first one to apply!
July 24, 2025
Senior • On-site
$224,000 - $356,500/yr
Santa Clara, CA
Our technology has no boundaries! Nvidia is building the world’s most groundbreaking and state of the art GPU platforms for the world to use. It’s because of our work that scientists, researchers and engineers can advance their ideas. At its core, our visual computing technology not only enables an amazing computing experience, but it is also energy efficient! We pioneered a supercharged form of computing loved by the most demanding computer users in the world - scientists, designers, artists, and gamers. It’s not just technology though! It is our people, some of the brightest in the world, and our diverse company culture make NVIDIA one of the most fun, innovative and dynamic places to work in the world! At the center of NVIDIA's culture are our core values like innovation, excellence and determination and team, that guide us to be the best we can be.
We are seeking a highly motivated system network architect to join our team of experts and take part in shaping the future of high performance DGX SuperPOD. The ideal candidate is self motivated, works well with different teams, very comfortable in a Data Center environment and demonstrates passion towards product level architecture, design, development and hands-on validation. They should have strong design and debug analysis fundamentals experience. They must be capable of thriving in fast paced environment with evolving product definitions.
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
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.