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NVIDIA • Nablus, West Bank, Palestine
Role & seniority: QA Engineer, mid-entry to early-mid level (1–3 years experience)
Stack/tools: Python; Python-based test automation frameworks; Linux-based environments; CI/CD pipelines; Git; basic REST APIs/microservices/containerized setups; networking/distributed-system awareness
Lead quality efforts for NVIDIA NetQ across NVLink-based and high-performance clusters
Design, develop, and maintain automated test frameworks and validation tools; define and execute functional, integration, regression, and system tests
Validate telemetry, APIs, and system behavior in large-scale cluster environments; drive root-cause analysis and defect resolution; integrate quality processes into CI/CD
BS in CS/Engineering or equivalent practical experience
1–3 years’ professional experience
Proficiency in Python and test automation; strong debugging/problem-solving
Experience in Linux environments; understanding of networking concepts and distributed systems
Experience testing complex software platforms; familiarity with CI/CD, Git, and modern development workflows
Experience with NVLink, InfiniBand, or high-performance cluster environments
Knowledge of telemetry, monitoring, observability systems
Experience with REST APIs, microservices, or containerized environments
Background in infrastructure, networking, or systems software testing
Location & work type: Location not specif
At NVIDIA, we are shaping the future of accelerated computing and AI infrastructure. As part of our Networking and Systems Software organization, NVIDIA NetQ is a next-generation network operations and management platform that provides real-time visibility, validation, and troubleshooting for modern data center fabrics, including NVLink-based GPU clusters. We are looking for a skilled and motivated QA Engineer to help ensure the quality, reliability, and scalability of NetQ — a critical software platform used to manage and monitor large-scale, high-performance computing environments. What you’ll be doing: Lead quality efforts for NVIDIA NetQ, a software management and monitoring platform for NVLink-based and high-performance cluster environments. Design, develop, and maintain Python-based automated test frameworks and validation tools. Define and execute functional, integration, regression, and system-level tests for distributed systems. Work closely with R&D, architects, and product managers to define test strategies and quality metrics. Validate telemetry, APIs, and system behavior across large-scale cluster environments. Investigate complex issues, perform root-cause analysis, and drive defects to resolution. Integrate quality processes into CI/CD pipelines and release flows. Contribute to improving system observability, testability, and overall product robustness. What we need to see: BSc in Computer Science, Engineering, or equivalent practical experience. 1-3 years of professional experience Strong experience with Python and test automation frameworks. Proven experience working in Linux-based environments. Solid understanding of networking concepts, distributed systems, and system-level software. Experience testing complex software platforms (management tools, infrastructure software, or large systems). Familiarity with CI/CD pipelines, Git, and modern development workflows. Strong debugging and problem-solving skills. Ability to work independently and collaborate across multiple teams. Ways to stand out from the crowd: Experience with NVLink, InfiniBand, or high-performance cluster environments. Knowledge of telemetry, monitoring, or observability systems. Experience with REST APIs, microservices, or containerized environments. Background in infrastructure, networking, or system software testing. NVIDIA NetQ plays a key role in ensuring the reliability and performance of the world’s most advanced AI and HPC clusters. You’ll be working on software that directly impacts how large-scale GPU and NVLink systems are monitored, validated, and operated in production environments. At NVIDIA, we value innovation, ownership, and technical excellence — and we provide the environment to grow, lead, and make an impact. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.