Senior Performance Engineer

CH01 NVIDIA Switzerland AG; Schweiz; Vor Ort; EUR 128.000 - 203.000; Vollzeit

Zusammenfassung

NVIDIA Switzerland AG seeks a Senior Performance Engineer to join our Performance and R&D teams. You will profile, benchmark, and optimize AI and HPC workloads on GPU and CPU clusters, collaborating with hardware, firmware, networking, and software groups to extract actionable performance insights.

You will develop performance tools, define test plans, and ensure data quality, reproducibility, and traceability of results in a fast-paced, cross-functional environment.

Qualifikationen

• BSc or MSc in CS/CE/SE or equivalent experience.
• 5+ years in performance analysis, systems engineering, or HPC/AI infrastructure.
• Hands-on experience with high-performance networking (RDMA, MPI, NCCL).
• Strong understanding of latency, throughput, and resource utilization.
• Exposure to telemetry environments and data refinement.

Aufgaben

• Profile, benchmark, and analyze AI and HPC workloads on GPU and CPU clusters.
• Explore performance characteristics of high-performance networking (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 across hardware, firmware, networking, systems, and software teams for insights.
• Support telemetry collection and data refinement for accurate analysis.
• Maintain high data quality, reproducibility, and traceability of results.

Kenntnisse

Performance analysis

Profiling & benchmarking

Telemetry analysis

Cross-functional collaboration

Strong analytical thinking

System-level understanding

Software instrumentation

Python scripting

Ausbildung

BSc/ MSc in CS/CE/SE or equivalent

Tools

RDMA

MPI

NCCL

Linux tooling

Jobbeschreibung

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 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 environments

At 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.