Senior Performance Engineer

NVIDIA Corporation; Zürich; Hybrid; CHF 140.000 - 210.000; Vollzeit

Zusammenfassung

NVIDIA Corporation seeks a Senior Performance Engineer to advance performance analysis, benchmarking, and telemetry for large-scale GPU- and CPU-based clusters in AI/HPC settings.

You will profile AI/HPC workloads, study networking and compute bottlenecks, and collaborate across hardware, firmware, networking, systems, and software teams to deliver actionable insights. A strong background in performance metrics and telemetry is essential.

Qualifikationen

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, or equivalent.
• 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 telemetry environments in hardware, firmware, or embedded contexts.
• Strong analytical, problem-solving, and communication skills.

Aufgaben

• Profile, benchmark, and analyze AI and HPC workloads on GPU and CPU clusters.
• Explore performance characteristics of high-performance networking and communications (NCCL, RDMA, MPI, RoCE).
• Identify bottlenecks across networking, compute, memory, and system architecture.
• Develop and enhance performance analysis, benchmarking, and diagnostic tools.
• Define performance test plans and set expectations for new technologies and platforms.
• Collaborate with hardware, firmware, networking, systems, and software teams for insights.
• Support telemetry collection and refine data for accurate analysis.
• Maintain high data quality, reproducibility, and traceability of results.

Kenntnisse

Performance analysis

Analytical thinking

Cross-functional collaboration

Python

Ausbildung

B.Sc./M.Sc. in CS/CE/SE or equivalent

Tools

NVIDIA CUDA

NCCL

RDMA

MPI

Jobbeschreibung

## Senior Performance EngineerApplylocations: Switzerland, Remote: Switzerland, Zurichtime type: Full timeposted on: Posted Todayjob requisition id: JR2022529NVIDIA 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 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**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 environmentsAt NVIDIA, we are passionate about supercomputing and powerful ground-breaking technologies. Our products span many areas, such as: high-performance computing (HPC), Machine Learning, cloud services, storage and more - and we've only scratched the surface of what can be accomplished. We need hardworking and creative people to help us seek some of these outstanding opportunities. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the smartest engineers in the world working for us and, due to extraordinary growth, our elite engineering teams are fast-growing fast. If you're a creative and autonomous manager with a sincere passion for technology, we want to hear from you.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.