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NVIDIA

Designs the chips and software that power AI

Manager Software Verification

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeYokne'am Illit, IsraelNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Electrical Engineering, Computer Science, or Computer Engineering, or equivalent work experience.
  • At least 3 years in a managerial position, hands-on experience with the software development lifecycle, and at least 8 years of overall experience.
  • A strong technical background in modern C++ software development, software architecture, and Linux-based systems.
  • Experience leading teams developing automated test frameworks and software quality methodologies for complex software products.
  • Excellent communication skills; self-motivated and well organized.

Responsibilities

  • Lead and grow a team of software verification engineers responsible for validating the NVIDIA DOCA SDK.
  • Design comprehensive test plans and implement functional, integration, and system-level tests for new SDK capabilities.
  • Define the team's technical roadmap, verification strategy, and automation priorities to ensure high product quality and release readiness.
  • Partner closely with SDK developers, architects, product management, and DevOps teams throughout the software development lifecycle.
  • Drive the development of scalable C++ verification frameworks and automation infrastructure that enable efficient feature validation.
  • Foster a culture of technical excellence, ownership, continuous learning, and engineering quality.

Desired Qualifications

  • Familiarity with DOCA, BlueField DPUs, SmartNICs, GPUs, or data center infrastructure software.
  • Experience leveraging AI tools.
  • Experience in CI methodology and servers such as Git/Gerrit and Jenkins.

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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