What we need to see: B.Sc. degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field. 3+ years of hands-on experience as a software developer. Strong proficiency in Python for test automation, tooling development, and pipeline implementation. Hands-on experience with network simulation or emulation tools (e.g., Containerlab, GNS3, SONiC testbeds, or equivalent platforms). Proven experience designing and building simulation agents or traffic generators that mimic real-world networking behavior at scale. Solid experience with agentic AI frameworks and LLM-based automation (e.g., LangChain, LangGraph, AutoGen, or similar) and practical ability to apply them to validation and test generation workflows. Strong command of regression analysis methodologies — able to triage, classify, and extract actionable conclusions from large-scale test result datasets. Comfortable operating in a fast-paced, cross-functional, multi-timezone engineering environment with strong verbal and written communication skills. Ways to stand out from the crowd: Hands-on experience validating data center networking solutions or hyperscale network environments (spine-leaf, fat-tree, or Clos topologies). Familiarity with NVIDIA networking products — BlueField DPUs, ConnectX NICs, Spectrum switches, or the DOCA software stack. Deep understanding of networking protocols and architectures (e.g., BGP, EVPN, VXLAN, RDMA/RoCE, Ethernet, IP routing, L2/L3 switching). Hands-on experience building agentic pipelines for automated test generation, result triage, or validation code synthesis — including prompt engineering and tool-use patterns for LLM agents. Prior exposure to customer-facing solution validation or translating customer deployment scenarios into structured simulation test cases. With competitive salaries and a generous benefits package, NVIDIA is widely recognized as one of the technology world's most desirable employ
