Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Communication @ 7
Deep Learning
GPU
InfiniBand @ 4
Kubernetes @ 4
Networking @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
As a Senior Software Architect on the GPU Networking Architecture team, you will define Software Defined Networking (SDN) architectural solutions and work with specialists across modern data center technologies, including distributed AI and deep learning systems, Networking Operating Systems, virtualization, storage, and more.
Responsibilities
- Define system and software architecture for Software Defined Networking (SDN) in emerging AI networks involving innovative software and hardware.
- Promote team specifications and activities with US-based customers and GPU Networking peers.
- Help establish use cases and metrics for monitoring the control plane of complex, high-speed networks.
- Collaborate with groups across NVIDIA to bring AI networking technologies to reality, including GPU and switch hardware and software teams, product teams, and fellow architects.
Requirements
- B.Sc., M.Sc., or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience.
- 8+ years of proven experience as a software architect.
- Proven networking experience.
- A can-do attitude, high energy, and excellent interpersonal skills.
- Ability and flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environment.
Preferred Qualifications
- Software Defined Networking (SDN) definition or development experience.
- Hands-on InfiniBand experience.
- Kubernetes experience.
- Strong communication skills.
Benefits
- Equity and benefits are provided.
- NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.
The base salary range is USD 184,000–287,500 for Level 4 and USD 224,000–356,500 for Level 5. Applications will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
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