Network Solution Verification Engineer

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

The successful candidate will be a hands-on technical contributor at the intersection of networking, automation, and AI-driven validation , designing and implementing simulation frameworks, agentic workflows, and regression pipelines.

Responsibilities:

• Design and implement end-to-end validation frameworks for NVIDIA's customer-facing networking solutions at scale.
• Write, maintain, and extend automated test suites and regression pipelines for networking protocols and large-scale simulation runs.
• Perform deep regression analysis on simulation results , identifying failure trends, isolating root causes, and delivering clear findings.
• Develop agentic AI flows that autonomously perform regression analysis, detect coverage gaps, generate new test cases, and implement validation code.
• Integrate validation pipelines into CI/CD workflows to enable continuous, automated regression at scale.
• Collaborate with Design, Architecture, and NCS teams to understand solution requirements and provide early-cycle quality feedback.
• Analyze customer-reported networking issues, map them to simulation coverage gaps, and build targeted test cases.
• Explore 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.
• Proven experience designing and building simulation agents or traffic generators.
• Solid experience with agentic AI frameworks and LLM-based automation.
• Strong command of regression analysis methodologies.

Benefits:

• Competitive salaries
• Generous benefits package