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 is expanding its networking architecture team to develop next-generation networks for AI and accelerated data centers. The role involves researching new technologies and developing networking solutions across multiple layers, including ASIC design, real-time software, algorithms, topologies, and systems.
Responsibilities
- Participate actively in the research and development of networking solutions for next-generation accelerated data centers.
- Work across networking layers, including ASIC design, algorithms, topologies, and systems.
- Partner with internal teams, strategic partners, standards bodies, and networking communities to initiate and develop networking solutions for AI.
- Work concurrently with multiple organizational groups and strategic partners in a dynamic, multifaceted environment.
Requirements
- Bachelor's or master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
- At least 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 operate effectively in a highly dynamic and multifaceted environment.
- Ability to collaborate 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 Python and/or C++ skills.
Benefits
- Competitive salary.
- Generous benefits package.
- Equity eligibility.
- Inclusive and equal-opportunity work environment.
The base salary range is USD 152,000–241,500 for Level 3 and USD 184,000–287,500 for Level 4. Applications will be accepted at least until July 25, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
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