Role at a glance
- Salary
- $124K – $195.5K/yr
- Location
- 6 Locations, Virginia, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of expertise in networking fundamentals
- Education
- Bachelor’s degree in engineering, Computer Science, Mathematics, Physics, or equivalent experience
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Role Summary
This role is part of NVIDIA’s Infrastructure Specialists Solutions Architecture team and focuses on delivering Ethernet-based data center networking solutions for customers across web2.0, cloud, HPC AI, and enterprise data center environments. The position supports network architecture, automation, validation, and deployment under the Plan, Design, & Implement framework, including onsite customer data center work.
What You'll Do
- Design, architect, configure, and test Ethernet networking solutions for customers
- Provide Ethernet networking expertise for server infrastructure builds, accelerated computing workloads, and GPU-enabled AI applications
- Develop DevOps automation scripts, network architectures, and switch fabric configurations
- Implement network configuration and validation tasks for data centers
- Validate network architectures and configurations in the lab and monitor network performance using software and AI tools
- Interact with customers to gather requirements and create deployment and project handover documentation
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Bachelor’s degree in engineering, Computer Science, Mathematics, Physics, or equivalent experience; 5+ years in networking fundamentals, including TCP/IP, switching, routing, and data center architecture; 3+ years designing and building CLOS and spine-leaf network fabrics for scalable data center compute clusters; 2+ years with BGP, VxLAN, EVPN, Ethernet, TCP/IP, switching, routing, packet sniffers, Linux administration, and computer hardware architecture; 1+ year of customer-facing network requirements, project planning, and deployment experience; proficiency with Ansible, Salt, and Python; English communication and presentation skills.
Required
- Bachelor’s degree in engineering, Computer Science, Mathematics, Physics, or equivalent experience
- Networking fundamentals including TCP/IP, switching, routing, and data center architecture
- CLOS and spine-leaf network fabrics for scalable data center compute clusters
- BGP, VxLAN, and EVPN
- Packet sniffers and network analysis tools
- Linux administration
- Computer hardware architecture
- Customer-facing network requirement gathering, analysis, project planning, and deployment
Preferred
- AI Agents usage for technical tasks
- Kubernetes and Docker
- NVIDIA Air, GNS3, or EVE-NG
- Grafana, Prometheus, or Datadog
- Personal Git repository with Python coding examples
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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, configure and test Ethernet networking solutions
Work in multi-functional teams to provide Ethernet networking expertise to server infrastructure builds, accelerated computing workloads and GPU enabled AI applications
Crafting and evaluating DevOps automation scripts for network operations, designing 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
Create network automation scripts and customize them to specific customers' needs utilizing AI tools
Interact directly with customers to obtain required information to design and build optimal solutions
Use software and AI tools to validate and monitor network performance
Create project documents to hand over to the customer upon project completion
Travel onsite to the customers' data Centers to perform initial configuration work, up to 20%
What we need to see:
Bachelor’s degree in engineering, Computer Science, Mathematics, Physics, or equivalent experience, with 5+ years of expertise in networking fundamentals including TCP/IP, Switching, Routing, and data center architecture.
3+ years of hands-on experience designing and building network fabrics for scalable data center compute clusters, including CLOS and spine-leaf architectures.
Strong proficiency in BGP, VxLAN, and EVPN for network design and troubleshooting (2+ years), with strong overall Ethernet, TCP/IP, switching and routing experience (2+ years).
Advanced network troubleshooting skills using packet sniffers and analysis tools (2+ years).
Strong Linux administration background and computer hardware architecture (2+ years).
1+ years of direct customer-facing experience in network requirement gathering, analysis, project planning, and deployment.
Proficiency in network automation using Ansible, Salt, and Python scripting (1+ years).
Excellent communication and presentation skills in English, with the ability to convey complex technical concepts to both internal and external stakeholders.
Self-motivated team player capable of independently prioritizing tasks, with willingness to travel domestically and internationally up to 20% and work non-standard hours as needed.
Ways to stand out from the crowd:
Demonstrate strong social and collaboration skills as well as accountability for results.
Demonstrate extensive AI Agents usage for performing technical tasks
Experience with Kubernetes and Docker
Familiarity with networking simulations tools like NVIDIA Air, GNS3, or EVE-NG
Experience with network and server management tools like Grafana, Prometheus, Datadog, etc as well as personal Git repository with examples of coding expertise in Python
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 124,000 USD - 195,500 USD.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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.