
Senior Networking Solution Test Engineer – AI Cluster Debugging
Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Networking Solution Test Engineer – AI Cluster Debugging in Switzerland.
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.
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Networking Solution Test Engineer – AI Cluster Debugging in Switzerland.
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.