N

NVIDIA

Designs the chips and software that power AI

Network Solution Verification Manager

Full-TimeUpdated on 10/15/2026
No salary listed
Expert
Bachelor's
Ra'anana, Israel
In Person
Engineering ManagementEngineering Leadership

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/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 draw 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-timezone environment.
  • Strong verbal and written communication skills, with 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, establishing simulation methodologies, test-coverage frameworks, and quality gates aligned with product milestones and customer use cases.
  • Lead the design, building, and operation of AI-driven agents that autonomously perform regression analysis, identify coverage gaps, generate new test cases, and implement validation code; develop workflows that learn from simulation results and product changes to scale test coverage and respond to quality signals.
  • Oversee the design and continuous improvement of automated regression suites for networking protocols and large-scale simulation runs, ensuring scalable, repeatable, high-confidence validation outcomes.
  • Establish a regression analysis culture by guiding identification of 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 continuously evolve validation capabilities.
Desired Qualifications
  • Deep understanding of networking protocols and architectures, such as 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 leveraging 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 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, California

Founded

1993

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Simplify Jobs

Simplify's Take

What believers are saying

  • AI demand is still surging: data center sales rose 117% to $89 billion in the quarter ending July 2026.
  • Stock grants are worth more: shares hit a record in October 2026, up 28% for the year.
  • Engineering dominates hiring: 1,722 of NVIDIA's 2,686 job listings in October 2026 were in engineering.

What critics are saying

  • Big buyers are hedging: Meta's February 2026 agreement covers 6 gigawatts of AMD chips.
  • Financing its buyers is getting harder: lenders pushed back on NVIDIA's $500 billion chip-backed loan plan in October 2026.
  • Staff described long hours: Bloomberg's August 2024 interviews reported seven-day weeks, late nights and shouting matches.

What makes NVIDIA unique

  • Rivals must match its software too: over 7.5 million developers use CUDA and other NVIDIA tools to program its chips.
  • The CEO has a broad direct staff: Jensen Huang says over 60 people report to him, without one-on-ones.
  • People rarely leave: NVIDIA's yearly staff turnover is 3.7%, versus a 21.9% average across the tech industry.

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Benefits

  • Company Equity
  • 401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
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