Senior Software Engineer, Network System Validation

🔥 13 hours ago

🇨🇭 Switzerland – Remote

⏰ Full Time

🟠 Senior

🛜 Network Engineer / Network Administrator

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Review system and product requirements and design validation methodologies • Develop and implement comprehensive functional and performance test plans for networking technologies in large-scale AI cluster solutions • Develop and maintain benchmarks, automation tools, and scripts for test execution, environment setup, log collection, and data analysis • Lead end-to-end investigations of complex issues by reproducing real-world scenarios and analyzing logs, telemetry, packet captures, and system metrics • Identify functional issues and performance bottlenecks, triage problems across hardware and software stacks, and drive issues to root cause and resolution • Read and understand C/C++/Python source code to investigate defects, validate fixes, and improve logging, instrumentation, and debugging capabilities • Collaborate with software and hardware development teams to debug networking technologies including NCCL, RoCE, RDMA, and related software components • Profile and research AI training and inference workloads, correlating application behavior with network and system telemetry • Document findings, communicate technical results, and continuously improve validation methodologies, automation environments, and engineering processes • Lead the validation direction and engineering excellence of a technology validation team • Own the technical roadmap and mentor a team of high-performance engineers

🎯 Requirements

• B.Sc. / B.A. in Computer Science, Electrical Engineering, or equivalent experience • 8+ years of experience in networking, system validation, or related domains • Proven experience debugging complex production systems by forming hypotheses, designing experiments, and driving issues to root cause • Ability to read, debug, and reason about C/C++ code; Rust or Go a plus • Strong scripting and automation experience using Python, Bash, and/or Ansible • Deep understanding of distributed systems, including concurrency, consistency models, fault tolerance, and large-scale system performance under stress • Ability to drive technical alignment across teams, communicate tradeoffs clearly, and make high-quality architectural decisions at speed • Ability to advance AI-driven approaches to test automation, including intelligent scenario generation, LLM-augmented root-cause analysis, and autonomous validation pipelines • Experience with large-scale clusters or distributed systems • Familiarity with NVIDIA networking solutions, including ConnectX, SpecX, and BlueField • Background in performance analysis, Kubernetes, or cloud environments • Background in chaos testing, fault injection, or simulation systems

🏖️ Benefits

• NVIDIA employee benefits are mentioned generally, but no specific benefits are listed in the posting.