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NVIDIA

Designs the chips and software that power AI

Network Solution Verification Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeRa'anana, IsraelNo salary listedIn-person

About the Job

Requirements

  • A B.Sc. degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
  • At least 3 years of experience in a leadership or management role leading software or hardware validation or test engineering teams.
  • At least 7 years of overall experience in network validation, network testing, or systems verification.
  • A proven track record of building and executing test automation strategies for network or distributed systems at scale, with hands-on experience in Python-based automation.
  • A strong understanding of regression analysis methodologies and the ability to derive actionable conclusions from large-scale test-result datasets and translate them into engineering improvements.
  • The ability to collaborate cross-functionally with architecture, design, and product teams in a fast-paced, multi-time-zone environment.
  • Strong verbal and written communication skills, including experience presenting validation strategies and quality metrics to senior leadership.

Responsibilities

  • Lead and manage a team of network validation engineers responsible for end-to-end validation of customer-facing networking solutions at scale using a dedicated end-to-end simulation cluster environment.
  • Define the validation strategy and roadmap, including simulation methodologies, test-coverage frameworks, and quality gates aligned with product milestones and customer use cases.
  • Lead the design, development, and operation of AI-driven agents that autonomously perform regression analysis, identify coverage gaps, generate test cases, and implement validation code, with workflows that learn from simulation results and product changes.
  • Oversee the design and continuous improvement of automated regression suites for networking protocols and large-scale simulation runs to ensure scalable, repeatable, high-confidence validation outcomes.
  • Establish a regression analysis culture by guiding the team in identifying trends, root causes, and systemic coverage gaps and ensuring timely resolution with engineering stakeholders.
  • Serve as the primary validation partner to Design, Architecture, and NCS teams by translating solution requirements into simulation scenarios, providing early-cycle quality feedback, and influencing product direction.
  • Analyze customer-reported networking solution issues, drive test-gap analysis, and ensure robust regression coverage to prevent recurrence.
  • Stay current with emerging networking standards, simulation technologies, and industry best practices to evolve the team's validation capabilities.

Desired Qualifications

  • Deep understanding of networking protocols and architectures, including BGP, EVPN, VXLAN, RDMA/RoCE, Ethernet, IP routing, and Layer 2/Layer 3 switching.
  • Experience with network simulation or emulation environments such as Containerlab, GNS3, SONiC testbeds, or equivalent platforms, and the ability to guide teams in using them effectively.
  • Experience managing validation of data center networking solutions or hyperscale network environments, including spine-leaf, fat-tree, or Clos topologies.
  • Familiarity with NVIDIA networking products, including 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.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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