Senior Performance Engineer

Experience: Not Available to Not Available years

Location: Yokneam, Israel

Skills: performance analysis, systems engineering, HPC, AI infrastructure, high-performance networking, RDMA, MPI, NCCL, congestion control, system performance metrics, latency, throughput, resource utilization, hardware, firmware, embedded telemetry, analytical skills, problem-solving, cross-functional collaboration, telemetry collection, data refinement, CUDA, NCCL internals, congestion control algorithms, CPU architectures, GPUs, HCAs, memory, PCIe, NVIDIA GPUs, deep learning frameworks, PyTorch, TensorFlow, cloud platforms, Python, Bash, C/C++, Linux environments

Company Overview
NVIDIA is seeking a highly skilled Senior Performance Engineer to join our Performance and R&D; organizations. In this role, you will help build and evolve systems that support performance analysis, telemetry, and optimization for large-scale GPU- and CPU-based clusters used in AI and high-performance computing environments. You will work closely with hardware, networking, firmware, and software teams to collect, analyze, and interpret performance data from live systems. This is a fast-paced R&D; environment where system behavior and requirements evolve rapidly, requiring adaptable engineering solutions and strong analytical thinking.

What you’ll be doing:
• Profile, benchmark, and analyze AI and HPC workloads on GPU and CPU clusters
• Explore performance characteristics of high-performance networking and collective communications (e.g., NCCL, RDMA, MPI, RoCE)
• Identify performance bottlenecks across networking, compute, memory, and system architecture




• Develop and enhance performance analysis, benchmarking, and diagnostic tools
• Define performance test plans and establish expectations for recent technologies and platforms
• Collaborate across hardware, firmware, networking, systems, and software teams to provide actionable performance insights
• Support telemetry collection and data refinement efforts to enable accurate performance analysis
• Maintain high standards for data quality, reproducibility, and traceability of performance results

What we need to see:
• B.Sc. or M.Sc. in Computer Science, Computer Engineering, Software Engineering, or equivalent experience
• 5+ years of experience in performance analysis, systems engineering, or HPC/AI infrastructure
• Demonstrated expertise in performance analysis skills and methodologies
• Hands-on experience with high-performance networking (RDMA, MPI, NCCL, congestion control)
• Strong understanding of system performance metrics (latency, throughput, resource utilization)
• Exposure to hardware, firmware, or embedded telemetry environments
• Strong analytical, problem-solving, and communication skills
• Ability to work effectively in cross-functional, fast-paced R&D; teams

Ways to stand out from the crowd:
• Knowledge of CUDA, NCCL internals, and congestion control algorithms
• Deep system-level understanding of CPU architectures, GPUs, HCAs, memory, and PCIe
• Experience with NVIDIA GPUs, CUDA, and deep learning frameworks such as PyTorch or TensorFlow
• Experience with cloud platforms
• Proficiency in Python; experience with Bash and C/C++ is a plus as well as a strong experience working in Linux environments

📌 Senior Performance Engineer (Mumbai)
🏢 NVIDIA
📍 Mumbai