Senior Performance Engineer

Stack

Responsibilities

• ▹Profile, benchmark, and analyze AI and HPC workloads on GPU and CPU clusters
• ▹Explore performance characteristics of high-performance networking and collective communications (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 new 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

Requirements

• ▹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 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

Nice to have

• ▹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, strong experience working in Linux environments

Soft skills

What we offer

• ▹Highly competitive salaries and a comprehensive benefits package

About the company

NVIDIA is passionate about supercomputing and ground-breaking technologies, with products spanning high-performance computing, machine learning, cloud services, and storage. The company is widely considered one of the technology world's most desirable employers and is committed to fostering a diverse work environment.