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Manager, Performance Research and Analysis

NVIDIA· Mgmt, Sys SW
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Israel, Yokneam, Israel, Tel AvivFull-timePosted 2mo ago

About the role

Performance Research and Analysis Manager driving end-to-end performance strategy and execution for NVIDIA AI GPU clusters, focusing on RDMA, networking, NCCL, and observability across NICs, switches, GPUs, and NVLink; oversees DPUs and storage for AI inference; leads dashboards and telemetry for cluster-level performance.

Responsibilities

  • Drive end-to-end performance strategy, characterization, test plans, and optimization for next-generation NVIDIA AI GPU clusters, focusing on large-scale distributed training and inference workloads.
  • Deeply evaluate and optimize NVIDIA Networking core technologies performance, including RDMA/PRDMA, networking protocols, collective communication (NCCL), congestion control, and load-balancing algorithms.
  • Work on performance research and analysis of NVIDIA DPUs and storage technologies in North-South (N-S) use cases and deployment scenarios to maximize performance and efficiency for AI inference jobs.
  • Drive the strategy for performance observability and dashboards across next-generation NVIDIA data center solutions and supercomputers by leveraging scalable telemetry pipelines to build performance dashboards and automated analytics based on real-time performance metrics across NICs, Switches, GPUs, and NVLink boundaries.
  • Perform deep root-cause analysis (RCA) on complex multi-node performance bottlenecks, driving actionable mitigation plans across hardware, firmware, and software teams.

Qualifications

  • B.Sc. or M.Sc. in Computer Science, Computer Engineering, Software Engineering, or equivalent technical experience.
  • 8+ overall years of experience and deep expertise in High Performance Networking, RDMA, and Systems level performance.
  • 3+ years of experience as an engineering team manager leading technical performance or R&D teams.
  • Hands-on experience analyzing and optimizing collective communication (e.g., NCCL, MPI) and network traffic patterns for large-scale distributed AI workloads (LLM training and inference).
  • Hands-on experience designing, deploying, and customizing Grafana dashboards for cluster monitoring, alerting, and data visualization.
  • Exceptional cross-team leadership, analytical thinking, and communication skills to drive alignment across hardware, software, and architecture groups.

Skills

Required:High Performance NetworkingNCCL / Collective CommunicationGrafana dashboardsRCAs and performance debugging

Benefits

  • NVIDIA is committed to fostering a diverse work environment and prides itself on equal opportunity employment. (See diversity and equal opportunity statement in description.)
Last updated Jul 31, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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