Job description

As a Senior Software Architect in the GPU Networking Architecture team, you will define Software Defined Networking (SDN) architectural solutions and be part of a team of specialists who span across numerous technological fields related to the modern data center, such as distributed AI and deep learning systems, Networking Operating Systems, Virtualization, Storage, and more. What you’ll be doing: • Define system and software architecture for Software Defined Networking (SDN) of ground breaking emerging AI networks which involves innovative software and hardware. • Promote team specs and activities with US based customers and GPU Networking peers. • Be an active member in setting the use-cases and metrics for Monitoring Complex High-speed Networks Control-plane. • Work closely with various groups within NVIDIA to bring AI network technologies to reality, including GPU and Switch HW and SW teams, Product as well as fellow architects. What we need to see: • Hold a B.Sc., M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering (or equivalent experience). • 8+ years of proven experience as a software architect. • Proven Networking experience • A teammate with a can-do attitude, high energy and excellent interpersonal skills. • Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment. Ways to stand out from the crowd: • SDN definition/development experience • InfiniBand hands-on experience • Experience in Kubernetes. • Stellar communication skills. 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 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 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 January 13, 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.

Requirements

Must-haves

Define system and software architecture for Software Defined Networking (SDN) of ground breaking emerging AI networks which involves innovative software and hardware.
Promote team specs and activities with US based customers and GPU Networking peers.
Be an active member in setting the use-cases and metrics for Monitoring Complex High-speed Networks Control-plane.
Work closely with various groups within NVIDIA to bring AI network technologies to reality, including GPU and Switch HW and SW teams, Product as well as fellow architects.
Hold a B.Sc., M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering (or equivalent experience).
8+ years of proven experience as a software architect.
Proven Networking experience
A teammate with a can-do attitude, high energy and excellent interpersonal skills.
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
SDN definition/development experience
InfiniBand hands-on experience
Experience in Kubernetes.
Stellar communication skills.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until January 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aikubernetes

Platform: eightfold
Effort: medium