Network Solution Verification Engineer

About the role

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation fueled by great technology—and amazing people. We are seeking a Network Solution Verification Engineer to join our 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.

In this role, you will be a hands-on technical contributor at the intersection of networking, automation, and AI-driven validation — designing and implementing the simulation frameworks, agentic workflows, and regression pipelines that ensure NVIDIA's networking solutions meet the highest standards of quality and real-world applicability before reaching customers.

What you'll be doing:

- 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.

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.