Описание

NVIDIA is seeking a Network Solution Verification Engineer to join their R&D organization, focused on validating NVIDIA's customer-facing networking solutions at scale using a state-of-the-art End-to-End (E2E) simulation cluster environment.

Responsibilities

Designing and implementing end-to-end validation frameworks for NVIDIA's customer-facing networking solutions at scale, leveraging a dedicated E2E simulation cluster environment
Writing, maintaining, and extending automated test suites and regression pipelines for networking protocols and large-scale simulation runs, ensuring repeatable, high-confidence validation outcomes
Performing deep regression analysis on simulation results — identifying failure trends, isolating root causes, and delivering clear, actionable findings to architecture and design teams
Developing agentic AI flows that autonomously perform regression analysis, detect coverage gaps, generate new test cases, and implement validation code — continuously learning from simulation results and product changes to accelerate coverage without manual intervention
Integrating validation pipelines into CI/CD workflows to enable continuous, automated regression at scale, working closely with DevOps and platform teams
Collaborating closely with Design, Architecture, and NCS teams to understand solution requirements, translate them into simulation scenarios, and provide early-cycle quality feedback that influences product direction
Analyzing customer-reported networking issues, mapping them to simulation coverage gaps, and building targeted test cases that prevent regression
Continuously exploring new simulation technologies, agentic frameworks, and networking standards to evolve and improve the team's validation methodology

Requirements

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

Nice to have

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

We offer

Competitive salaries and a generous benefits package