Senior Network Software Validation Engineer – AI Clusters

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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

• Design validation methodologies, review product requirements, and develop comprehensive test plans for networking technologies in large-scale AI cluster solutions • Develop and maintain automation tools and scripts for test execution, environment setup, log collection, and data analysis • Execute functional, regression, performance, scale, and reliability testing across networking and AI cluster solutions • Investigate complex customer issues end-to-end by reproducing real-world scenarios, analyzing logs, telemetry, packet captures, and system metrics, triaging problems across the hardware and software stack, and driving 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 NCCL, RoCE, RDMA, and related networking software components • Profile and benchmark AI training and inference workloads, correlating application behavior with network and system telemetry to identify scalability and performance limitations • Document findings, communicate technical results, and continuously improve validation methodologies, automation, and engineering processes

🎯 Requirements

• B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience • 8+ years of hands-on experience in networking, system validation, software testing, or system-level debugging on Linux • Strong Linux systems knowledge and networking debugging experience at scale • Proven experience debugging complex production systems by forming hypotheses, designing experiments, and driving issues to root cause • Ability to read and reason about source code and collaborate closely with development teams to validate fixes • Strong scripting and automation experience using Python, Bash, and/or Ansible • Excellent analytical, troubleshooting, communication, and collaboration skills with a strong sense of ownership • Fast learner with curiosity for AI infrastructure, distributed systems, and modern AI-assisted engineering tools • Strong knowledge of AI networking technologies including NCCL, RoCE, and RDMA, with experience debugging correctness and performance issues at scale • Deep understanding of congestion control and lossless Ethernet technologies, including DCQCN, ECN, and PFC • Experience debugging across networking L2/L3, transport protocols, operating systems, AI frameworks, and distributed applications