Senior Networking Solution Test Engineer - AI Cluster Debugging

Jobgether • Switzerland

Relocation

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AI Summary

Jobgether is seeking a Senior Networking Solution Test Engineer to ensure the reliability and performance of complex AI clusters. This role requires strong debugging intuition and the ability to reproduce and analyze real-world customer scenarios. The ideal candidate will have experience in Linux-based networking, system testing, and complex debugging environments.

Key Highlights

Design and review test strategies for AI cluster systems

Build and maintain realistic test environments

Lead end-to-end system debugging across hardware, firmware, and AI software layers

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Key Responsibilities

Design and review test strategies and product requirements for NVLink, Ethernet, and InfiniBand-based AI cluster systems

Build and maintain realistic, large-scale test environments replicating customer-like AI infrastructure

Lead end-to-end system debugging across hardware, firmware, networking, and AI software layers

Technical Skills Required

Linux networking tools Linux debugging utilities C/C++ Python Bash Ansible NCCL RoCE RDMA

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Benefits & Perks

Competitive compensation

Opportunity to work on cutting-edge AI cluster and high-performance networking technologies

Exposure to large-scale systems powering advanced AI training and inference workloads

Job Description

This role sits at the forefront of large-scale AI infrastructure validation, where networking, systems engineering, and artificial intelligence workloads converge. You will be responsible for ensuring the reliability and performance of complex AI clusters built on high-speed interconnect technologies such as NVLink, Ethernet, and InfiniBand. Working in a highly technical and collaborative environment, you will investigate deep system-level issues spanning hardware, drivers, networking stacks, and AI frameworks. The position requires strong debugging intuition and the ability to reproduce and analyze real-world customer scenarios in advanced test environments. You will contribute directly to the stability and scalability of next-generation AI training and inference systems used at massive scale. This is a hands-on engineering role where your analysis and findings directly shape product quality and system performance.

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