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
Data Analysis @ 6
DevOps
Distributed Systems @ 7
GPU
HPC
Pandas @ 6
Python @ 9
- 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 visionary computer architect to design and develop models for the next generation of GPU-accelerated data centers, supporting high-performance computing and artificial intelligence technologies.
Responsibilities
- Guide the software design, architecture, and implementation of cost and power modeling for data-center-scale accelerated computing platforms.
- Evangelize modern software architecture patterns and tools, including AI-driven solutions, to accelerate development, enhance performance, and improve code quality.
- Implement software development and DevOps best practices for rapidly growing teams.
- Make significant hands-on contributions to a business-critical Python-based codebase.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience; a master's degree is preferred.
- At least 8 years of experience in systems architecture and modeling, particularly performance, power, or cost modeling of distributed systems.
- Exceptional Python programming skills.
- Strong mathematical and analytical skills.
- Excellent interpersonal skills and experience contributing to multidisciplinary projects.
- Proven experience contributing to scaled Python-based software projects.
Preferred Qualifications
- Experience with accelerated server architecture design and deployment, especially at hyperscale.
- Background in parallel computing, server architecture, or data center design.
- Interest in accelerated computing and artificial intelligence.
- Expertise in data analysis and visualization, especially pandas and related technologies.
Compensation and Benefits
- Level 4 base salary: USD 184,000–287,500 per year.
- Level 5 base salary: USD 224,000–356,500 per year.
- Eligible employees will also receive equity and benefits.
- Applications will be accepted at least until January 13, 2026.
- NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.
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