Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Python @ 6
Algorithms @ 3
Networking @ 3
- 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 seeking a Networking Architect to help develop the next generation of network infrastructure for AI-accelerated data centers. The role spans research and development across layers from ASIC design to algorithms, topologies and systems, partnering with internal teams, strategic partners, standards bodies and networking communities.
Responsibilities
- Participate in research and development of networking solutions for accelerated data centers.
- Work across various layers including ASIC design, algorithms, topologies and systems.
- Partner with internal teams, strategic partners, standards bodies and networking/open-source communities to initiate and develop networking solutions for AI.
- Operate in a sophisticated engineering environment and collaborate concurrently with multiple groups.
Requirements
- B.Sc or M.Sc degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
- 4+ years of industry or research experience in computer networks.
- Experience developing networking applications, ASICs and/or real-time software running on ASICs.
- Understanding of networking and routing protocols.
- Strong problem solving and critical thinking skills.
- Ability to work concurrently with multiple groups and with strategic partners.
Ways to stand out:
- Knowledge in 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 and/or working with standards organizations and/or open source communities.
- Strong skills in Python and/or C++.
Benefits & Compensation
- Base salary range: 120,000 USD - 189,750 USD (final base salary determined by location, experience, and comparator employees).
- Eligible for equity and benefits (see https://www.nvidia.com/en-us/benefits/ for details).
- NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.
- Applications accepted at least until September 14, 2025.