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
Algorithms @ 4
Networking @ 4
Python @ 7
- 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
NVIDIA Networking has been a leader in high-performance networking infrastructure for many years. The next unit of computing is the datacenter, and the network makes it all possible. NVIDIA is looking for a Senior Networking Architect to develop the next generation of networks for AI and accelerated computing.
Responsibilities
- Research and develop networking solutions to enable the next generation of accelerated datacenters.
- Work across multiple layers, including ASIC design, algorithms, topologies, systems, and related areas.
- Partner with internal teams, strategic partners, standards bodies, and networking communities to initiate and develop networking solutions for AI.
Requirements
- Bachelor's or master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
- 5+ years of industry or research experience in computer networks.
- Experience developing ASICs and/or real-time software running on ASICs.
- Proven understanding of networking and routing protocols and their implementations.
- Strong problem-solving and critical-thinking skills.
- Ability to work in a highly dynamic and multifaceted environment.
- Ability to work concurrently with multiple organizational groups and strategic partners.
Preferred Qualifications
- Deep knowledge of RDMA, with a focus on RoCE.
- Understanding of various network topologies and their attributes.
- Understanding and experience with load-balancing and congestion-control algorithms.
- Experience with industry standards, standards organizations, and/or open-source communities.
- Strong skills in Python and/or C++.
Benefits
The role offers competitive salaries, a generous benefits package, equity eligibility, and benefits. NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment.
Applications will be accepted at least until November 8, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
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