Senior Software Development Engineer in Test

NVIDIA · Shanghai, China NVIDIA's DGX Cloud team is seeking a Senior Software Development Engineer in Test to drive quality across cloud platforms and complex distributed systems. This role combines hands-on test development with opportunities to build simulation environments, reusable engineering tools, and agentic QA workflows. Responsibilities: Define and drive test strategies for cloud platforms and GPU-accelerated services Design and develop scalable test frameworks, simulation environments, mock services, and workload generators Build functional, integration, end-to-end, reliability, performance, and security coverage for service lifecycle operations Investigate complex failures using logs, metrics, traces, and controlled experiments Integrate automated validation into CI/CD pipelines and communicate actionable findings on quality trends Design and build AI agents and agentic QA workflows to accelerate test planning and execution Audit AI-generated outputs against tests and source evidence, continuously improve accuracy and reliability Drive cross-team quality improvements, contribute to test architecture and code reviews Requirements: Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field 3+ years of relevant experience in software development or test development for cloud services Strong programming skills in Python, working proficiency in shell scripting Solid understanding of Linux, networking, HTTP/REST APIs, and distributed-system behavior Hands-on experience with containers, Kubernetes, and CI/CD pipelines Experience designing reproducible tests and diagnosing failures across software and infrastructure components Hands-on experience building AI agents or LLM-powered automation Nice to have: Experience building simulation, emulation, or fault-injection tools for infrastructure testing Knowledge of resource scheduling, workload placement, hardware topology, or heterogeneous GPU computing environments Experience validating multi-tenant services, traffic management, or model-serving infrastructure A track record of sustained AI initiatives and innovation