Network Solution Verification Manager
NVIDIA is hiring a Network Solution Verification Manager in Tel Aviv, Israel. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting mentions Simulation Clusters, AI agents and network validation among its tools and skills.
- Level classes it as a lead role.
- NVIDIA has 2,700+ other open roles on Level.
AI in this role
Lead a validation team building agentic AI flows for automated large-scale networking simulation and regression.
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 Manager to join our R&D organization, leading the validation of 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 build and lead a team of validation engineers, owning the strategy, methodology, and execution of simulation-based validation frameworks that ensure NVIDIA's networking solutions meet the highest standards of quality, scale, and real-world applicability before reaching customers.
What you'll be doing:
- Leading and managing a team of network validation engineers responsible for end-to-end validation of NVIDIA's customer-facing networking solutions at scale, using a dedicated E2E simulation cluster environment.
- Defining the overall validation strategy and roadmap — establishing simulation methodologies, test coverage frameworks, and quality gates that align with product milestones and customer use cases.
- Pioneering the use of agentic AI flows within the validation organization — leading the team to design, build, and operate AI-driven agents capable of autonomously performing regression analysis, identifying coverage gaps, generating new test cases, and implementing validation code. These agentic workflows will continuously learn from simulation results and product changes, dramatically accelerating the team's ability to scale test coverage and respond to emerging quality signals without manual intervention.
- Overseeing the design and continuous improvement of automated regression suites for networking protocols and large-scale simulation runs, ensuring scalable, repeatable, and high-confidence validation outcomes.
- Establishing a rigorous regression analysis culture — guiding the team in identifying trends, root causes, and systemic coverage gaps, and ensuring timely resolution in collaboration with engineering stakeholders.
- Serving as the primary validation partner to Design, Architecture, and NCS teams — translating solution requirements into simulation scenarios, providing early-cycle quality feedback, and influencing product direction.
- Analyzing customer-reported networking solution issues, driving test gap analysis, and ensuring robust regression coverage that prevents recurrence.
- Staying current with emerging networking standards, simulation technologies, and industry best practices to continuously evolve the team's validation capabilities.
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 experience in a leadership or management role, leading software or hardware validation/test engineering teams.
- 7+ years of overall experience in network validation, network testing, or systems verification.
- Proven track record of building and executing test automation strategies for network or distributed systems at scale, with hands-on background in Python-based automation.
- Strong understanding of regression analysis methodologies — ability to drive actionable conclusions from large-scale test result datasets and translate them into engineering improvements.
- Demonstrated ability to collaborate cross-functionally with architecture, design, and product teams in a fast-paced, multi-timezone environment.
- Strong verbal and written communication skills, with experience presenting validation strategies and quality metrics to senior leadership.
Ways to stand out from the crowd:
- Deep understanding of networking protocols and architectures (e.g., BGP, EVPN, VXLAN, RDMA/RoCE, Ethernet, IP routing, L2/L3 switching).
- Experience with network simulation or emulation environments (e.g., Containerlab, GNS3, SONiC testbeds, or equivalent platforms) and the ability to guide teams in leveraging them effectively.
- Experience managing validation of 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.
- Prior experience with customer-facing solution validation or translating customer use cases into structured simulation and test scenarios.
With competitive salaries and a generous benefits package, NVIDIA is widely recognized as one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us, and our engineering teams continue to grow rapidly to meet extraordinary demand. If you are a technically strong leader passionate about networking, simulation, and building world-class validation organizations, we want to hear from you.
NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status, or any other characteristic protected by law.
How we rate this
Network Solution Verification Manager at NVIDIA rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where network validation was part of your work. What did you do?
- Tell me about a project where simulation was part of your work. What did you do?
- Tell me about a project where agentic workflows was part of your work. What did you do?
- Tell me about a project where regression testing was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Network Validation, Simulation, Agentic Workflows, and Regression Testing. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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