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 @ 7
Networking @ 8
- 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 is seeking a Principal Software Architect, Networking to help build the future of AI data centers. The role focuses on collective communication, vertical co-development of AI networks, and scalability for large-model training. The work will drive innovation and contribute to large-scale production systems.
Responsibilities
- Lead the development of next-generation scale-up fabrics for AI data centers.
- Focus on collaborative communication and vertical co-development of AI networks alongside hardware, software, and application teams.
- Ensure scalability, reliability, and robust training for large-model development.
- Collaborate with cross-functional teams to build and implement innovative solutions.
- Create innovative concepts that can progress to full-scale manufacturing.
- Partner with world-class talent to successfully implement new technologies.
Requirements
- 15+ years of experience in software architecture and networking.
- Bachelor's degree in Engineering or equivalent experience.
- Strong expertise in AI applied research.
- Demonstrated ability to lead complex projects and deliver results.
- Excellent collaboration skills and the ability to work with diverse teams.
- Track record of innovation and determination to compete at the highest level.
Preferred Qualifications
- Advanced degree or equivalent experience in Engineering or a related area.
- Experience with large-scale AI data-center operations.
- Outstanding abilities in resiliency and tail-robust training methods.
- Proven ability to generate world-class innovations.
- Solid experience in the collaborative development of AI networks within specific sectors.
Compensation and Benefits
- Base salary range: USD 272,000–431,250 per year.
- Eligible for equity and benefits.
- NVIDIA is an equal opportunity employer committed to an inclusive work environment.
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