Overview Join NVIDIA to shape the future of GPU-accelerated datacenters. You will guide software architecture for cost, power, and performance modeling in large-scale systems, while evangelizing modern patterns and AI-driven solutions. You'll implement strong dev-ops practices and contribute to a mission-critical codebase that advances AI and HPC technologies. This role sits at the intersection of architecture, data analysis, and scalable software, offering impact across teams and products. You will be part of a culture that values curiosity, innovation, and measurable improvements.
Compensation / Benefits- equity
- benefits
- remote work option
- career growth opportunities
Responsibilities- Guide software design and implementation for datacenter-scale performance, power, and cost modeling
- Evangelize modern software architecture patterns and AI-driven solutions across the team
- Implement industry-leading dev-ops practices tailored for fast-growing teams
- Make hands-on contributions to a business-critical codebase impacting HPC and AI technologies
Key requirements- Bachelor in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS preferred)
- 8+ years in systems architecture and modeling (performance, power, or cost in distributed systems)
- Exceptional Python programming skills with strong mathematical/analytical abilities
- Excellent interpersonal skills for cross-disciplinary collaboration
- Proven track record in scaled Python-based software projects
- cross-functional collaboration
- analytical thinking
- strong communication
- Python
- systems architecture and modeling
- performance/power/cost modeling
