Senior Data Infrastructure Engineer, AI Performance

Responsibilities

• Build scalable and reliable infrastructure for running large simulation studies across on-premises compute clusters and cloud environments, improving throughput, resource efficiency, and reproducibility.
• Establish a unified storage and data platform as the source of truth for simulation configurations, execution state, results, and provenance.
• Develop self-service analytics and visualization capabilities that help architects explore results and compare performance, power, and design trade-offs.
• Partner with GPU architects, performance engineers, AI researchers, and software teams to translate emerging AI workloads into reusable simulation platform capabilities.
• Help define the technical roadmap and engineering practices for NVIDIA’s next generation of AI architecture simulation platforms.
• What we need to see
• BS or higher degree in a relevant technical field (CS, EE, CE, Math, etc.).
• 3+ years of experience building production infrastructure, distributed systems, or data platforms.
• Strong software engineering and system-design skills in one or more programming languages, with a solid understanding of scalability, reliability, data consistency, and operational trade-offs.
• Ability to work through ambiguous problems, simplify fragmented systems, and collaborate effectively across engineering and research teams.

Languages