英伟达Senior Data Infrastructure Engineer, AI Performance
社招全职地点:上海 | 北京状态:招聘♡ 收藏
工作描述
NVIDIA’s AI Computing Architecture team develops analytical models and simulators that guide the design of future GPUs, systems, and AI platforms. These tools enable architects to explore large design spaces and understand performance, power, cost, and software trade-offs across constantly evolving AI workloads. We are seeking outstanding software engineers to build and scale the infrastructure behind this simulation ecosystem. You will develop the distributed execution, data, automation, and visualization platforms that turn architectural models into reliable, reproducible, large-scale studies. You will be sitting at the intersection of distributed systems, performance engineering, data platforms, and architecture. What you’ll be doing: • 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 st…
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包括英文材料
系统设计+
https://roadmap.sh/system-design
Everything you need to know about designing large scale systems.
https://www.youtube.com/watch?v=F2FmTdLtb_4
This complete system design tutorial covers scalability, reliability, data handling, and high-level architecture with clear explanations, real-world examples, and practical strategies.
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
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