# Senior Performance Engineer

**Company**: NVIDIA
**Location**: Yokneam
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Israel-Yokneam/Senior-Performance-Engineer_JR2014966?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7d756d14-de1

## Description

We are seeking a highly skilled Senior Performance Engineer to join our Performance and R&D organisations. In this role, you will help build and evolve systems that support performance analysis, telemetry, and optimisation 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, analyse, and interpret performance data from live systems. This is a fast-paced R&D environment where system behaviour and requirements evolve rapidly, requiring adaptable engineering solutions and strong analytical thinking.

Key responsibilities include:

- Profiling, benchmarking, and analysing AI and HPC workloads on GPU and CPU clusters

- Exploring performance characteristics of high-performance networking and collective communications (e.g., NCCL, RDMA, MPI, RoCE)

- Identifying performance bottlenecks across networking, compute, memory, and system architecture

- Developing and enhancing performance analysis, benchmarking, and diagnostic tools

- Defining performance test plans and establishing expectations for new technologies and platforms

- Collaborating across hardware, firmware, networking, systems, and software teams to provide actionable performance insights

Requirements include:

- 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 utilisation)

- 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 include knowledge of CUDA, NCCL internals, and congestion control algorithms, as well as experience with NVIDIA GPUs, CUDA, and deep learning frameworks such as PyTorch or TensorFlow.

## Skills

### Required
- performance analysis
- systems engineering
- HPC/AI infrastructure
- high-performance networking
- system performance metrics
- hardware
- firmware
- embedded telemetry environments
- analytical skills
- problem-solving skills
- communication skills

### Nice to have
- CUDA
- NCCL internals
- congestion control algorithms
- NVIDIA GPUs
- deep learning frameworks
- PyTorch
- TensorFlow

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Israel-Yokneam/Senior-Performance-Engineer_JR2014966?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)