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NVIDIA

Designs the chips and software that power AI

Firmware DevOps and Infrastructure Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A B.Sc. degree in Electrical Engineering, Computer Engineering, or Computer Science, or equivalent practical experience.
  • At least 2 years of experience in a technical team leadership role, with the ability to lead, mentor, and develop engineers.
  • At least 5 years of hands-on experience in Firmware regression, Continuous Integration (CI), and DevOps infrastructure.
  • Hands-on experience working in Linux environments.
  • Strong programming skills in Python or C++, with a solid understanding of object-oriented programming concepts.
  • Ability to support critical debugging and bring-up activities outside regular working hours when required.
  • Excellent verbal and written communication skills in English and Hebrew.

Responsibilities

  • Lead and develop a DevOps and Firmware engineering team by setting priorities, allocating resources, mentoring engineers, and fostering ownership, technical excellence, and continuous improvement.
  • Own and drive the Firmware regression process, ensuring comprehensive test coverage, reliable execution, timely issue identification, and accurate bug assignment; improve regression efficiency and collaborate with Firmware release teams to ensure high-quality releases.
  • Lead the Firmware Continuous Integration and DevOps infrastructure, owning its stability, scalability, and efficiency and ensuring it provides a reliable, robust, lean quality gate for Firmware releases.
  • Integrate AI-powered solutions to improve stability, reliability, maintenance efficiency, and visualization.
  • Oversee regression results, identify stability degradations between Firmware versions, and communicate regression status, risks, and critical issues to stakeholders.
  • Lead bug triage and prioritization, ensuring issues are investigated, assigned, tracked, and resolved; guide the team in troubleshooting complex issues, identifying root causes, and delivering fixes and patches.
  • Collaborate with Firmware release teams to communicate release readiness, highlight newly introduced issues and their impact, and participate in plans that support informed release decisions.

Desired Qualifications

  • Strong proficiency in Python, C++, and SQL, with experience developing automation tools and infrastructure.
  • Hands-on experience developing agentic AI solutions and integrating AI into engineering workflows.
  • Knowledge of networking protocols and networking technologies.
  • Experience with software development and Continuous Integration/Continuous Delivery (CI/CD) tools such as Git, Gerrit, Jenkins, and Docker.
  • Experience working in Agile development environments and collaborating across engineering teams.

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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