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
GPU @ 3
HPC
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 is looking for a Data Center System Architect to help define and design products for artificial intelligence, high-performance computing, and other data center markets.
Responsibilities
- Drive architecture for data center systems, from the chip through the full data center.
- Work with silicon, software, networking, operations, and other teams to build a roadmap guiding the development of future NVIDIA products.
- Analyze the performance, power, and cost of different solutions to inform architectural decisions.
- Collaborate with NVIDIA’s key customers and system development partners to align on consistent strategies.
- Collaborate with suppliers and procurement teams to ensure industry roadmaps align with NVIDIA’s needs.
- Work across engineering and operations teams to define and execute systems from concept through large-scale production deployments.
- Monitor competitive solutions and track industry developments and trends.
Requirements
- 8+ years of experience working with complex data center systems.
- Deep understanding of hardware architecture and server design, including mechanical, power, and thermal considerations, as well as the interaction between server architecture and data center deployment at scale.
- Hands-on experience solving complex problems spanning software and hardware.
- Excellent interpersonal skills, with a proven ability to lead multidisciplinary teams.
- Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. A master’s degree is preferred.
Preferred Qualifications
- Experience with large projects involving the co-development of custom processors or accelerators, systems, and software.
- Familiarity with GPU computing and NVIDIA networking.
- Understanding of manufacturing operations processes.
- Experience with data center and cloud server deployment operations.
- Passion for technology and a strong commitment to the work.
Benefits
- Equity and employee benefits are provided.
- NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.
- 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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