1 day ago
Remote, Switzerland or Zürich, SwitzerlandSenior / Staff+
Responsibilities
- Review system and product requirements and design comprehensive functional and performance validation plans for networking technologies in large-scale AI clusters.
- Develop and maintain benchmarks, automation tools, scripts, test environments, log collection, and data-analysis workflows.
- Lead end-to-end debugging investigations using logs, telemetry, packet captures, system metrics, source-code inspection, and targeted experiments.
- Collaborate with hardware and software teams to debug NCCL, RoCE, RDMA, and related networking components.
- Profile AI training and inference workloads to identify scalability and performance limitations.
- Own validation direction, technical roadmap, engineering excellence, mentoring, documentation, and continuous process improvement.
Requirements
- Bachelor of Science or Bachelor of Arts in Computer Science, Electrical Engineering, or equivalent experience.
- 8+ years of experience in networking, system validation, or related domains.
- Proven ability to debug complex production systems, design experiments, and drive issues to root cause.
- Ability to read, debug, and reason about C/C++ code; Rust or Go is a plus.
- Strong scripting and automation experience with Python, Bash, and/or Ansible.
- Deep understanding of distributed systems, including concurrency, consistency models, fault tolerance, and large-scale performance under stress.
- Ability to drive technical alignment, communicate tradeoffs, and make architectural decisions quickly.
- Experience or interest in AI-driven test automation, intelligent scenario generation, LLM-augmented root-cause analysis, and autonomous validation pipelines.
- Experience with large-scale clusters or distributed systems, NVIDIA networking solutions, performance analysis, Kubernetes, cloud environments, chaos testing, fault injection, or simulation systems is advantageous.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.