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NVIDIA

Designs the chips and software that power AI

AIR SaaS Platform Verification Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeTel Aviv-Yafo, IsraelNo salary listedIn-person

About the Job

Requirements

  • A Bachelor of Science degree or equivalent experience in Engineering, Computer Science, or a related field.
  • At least 3 years of experience in a leadership role managing software development teams.
  • At least 5 years of overall experience in software development and testing.
  • Strong understanding of SaaS architectures.
  • Hands-on experience testing Python/Django, including REST APIs, and proven experience with frontend testing using UI automation and end-to-end frameworks such as Selenium, Playwright, or Cypress.
  • Hands-on experience with Infrastructure as a Service (IaaS).
  • Ability to work in a fast-paced, highly collaborative, multi-time-zone environment.
  • Strong verbal and written communication skills.
  • Motivation and desire for automation programming.

Responsibilities

  • Lead and manage the verification team responsible for the AIR SaaS Platform, ensuring high-quality backend and frontend delivery.
  • Work closely with cross-functional teams to implement, improve, and automate verification strategies for cloud and on-premises deployments.
  • Work with DevOps to integrate the verification pipeline into CI/CD, apply Python and frontend-testing expertise to identify effective verification methodologies and tools, and recommend reporting-process improvements.
  • Analyze customer-reported issues, identify test gaps, and ensure robust regression coverage.
  • Foster a culture of innovation, quality, ownership, and accountability.
  • Support team members with career development plans and achievable growth goals.
  • Drive improvements in performance, quality, and stability for software acceleration solutions.
  • Stay current with industry-standard methodologies, new technologies, and emerging trends in software verification.

Desired Qualifications

  • Background developing virtualization solutions using technologies such as QEMU and Docker.
  • Knowledge of Linux networking and networking concepts and protocols.
  • Proficiency in Infrastructure as Code (IaC) frameworks.

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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