NVIDIA
AI computing platforms
AIWorkloadandNetworkingResearchArchitect
“AI Workload and Networking Research Architect at NVIDIA. Skills: AI Workload, Networking, Architecture, Research. Model performance of complex AI workloads. identify bottlenecks”
Industry & Context.
identify bottlenecks; recommend system-level optimizations; evaluate trade-offs
What They're Looking For.
Must Have
M. Sc. or Ph. D. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience, 3+ years of relevant industry or research experience, machine learning or data science background, hands-on experience in LLMs, generative AI, or deep learning systems, systems-level thinking, ability to estimate end-to-end requirements across the AI stack, Proven ability to translate research findings and product requirements into clear software and hardware specifications, Excellent research skills, ability to digest academic papers, self-learn new domains, independently test hypotheses, Advanced Python programming skills, performance modeling, data analysis, prototyping, Excellent communication skills, ability to present complex technical findings clearly and confidently, Pragmatic and impact-driven approach, detail-oriented, able to prioritize the most critical issues
Nice to Have
Deep understanding of data center infrastructure, network topologies, communication protocols, Experience with distributed training, distributed inference, large-scale AI serving systems, Knowledge of AI performance metrics, impact of different deployment strategies, Experience extrapolating academic research into tangible software, hardware, or architecture requirements, Familiarity with GPU clusters, collective communication, storage systems, AI networking bottlenecks, Track record of leading complex, multidisciplinary research projects with measurable production impact
What You'll Do.
Model performance of complex AI workloads
recommend system-level optimizations
Analyze state-of-the-art AI models
understand infrastructure requirements
Translate research insights into requirements
Partner with teams to influence roadmaps
Rapidly learn new AI domains
Drive architectural innovation
How You'll Work.
Team & Collaboration
Partner with architecture, software, and product teams
Communication Scope
Excellent communication skills; ability to present complex technical findings clearly and confidently
Process & Methodology
leading complex, multidisciplinary research projects
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