# Senior Performance Engineer

**Company**: NVIDIA
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Switzerland-Remote/Senior-Performance-Engineer_JR2022529?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0f9494f0-663

## Description

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.

**Responsibilities:**

- 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

**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 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

**Preferred Qualifications:**

- 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

## Skills

### Required
- performance analysis
- systems engineering
- HPC/AI infrastructure
- high-performance networking
- RDMA
- MPI
- NCCL
- congestion control

### Nice to have
- 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

---

Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Switzerland-Remote/Senior-Performance-Engineer_JR2022529?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)