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Nvidia Senior Lab Infrastructure Automation Manager 
Israel, Tel Aviv District, Tel Aviv-Yafo 
558490741

Yesterday
Israel, Tel Aviv
Israel, Yokneam
Israel, Raanana
time type
Full time
posted on
Posted Yesterday
job requisition id

Lab Infrastructure & Automation Manager

What you’ll be doing:

  • Oversee setup, integration, and maintenance across two physical labs, internal and external cloud platforms, ensuring systems are updated and reliable during workshop delivery.

  • Compose and scale virtualization solutions that support ALPs, collaborating closely with course developers to develop and refine lab scripts and hands-on exercises.

  • Provide live technical support to NVIDIA Academy trainers and ALPs during and after workshops, ensuring smooth operations across all time zones.

  • Develop mechanisms for integrating technical lab environments with the Learning Management System (LMS), automating workflows for users accessing from multiple platforms, as well as for workshop administrators

  • Lead operational processes—including lab scheduling, fixing, and test deliveries—to boost workshop quality and increase trainer/developer efficiency.

  • Serve as a key point of contact for cross-geo workshop support.

What we need to see:

  • Bachelor’s degree in computer science, engineering, or related field, or equivalent experience.

  • 5years of experience managing data center or cloud infrastructure

  • Strong proficiency in Linux, virtualization, lab networking, and integration of lab automation tools (e.g., Kubernetes, Docker, Ansible, Git).

  • Proficient in fixing problems efficiently, adept at resolving issues promptly.

  • Moderate python coding skills

  • Strong verbal and written English interpersonal skills.

Ways to stand out from the crowd:

  • Practical experience with NVIDIA GPUs, networking, and software solutions.

  • Experience in designing and supporting labs for virtual, cloud-based, or hybrid training platforms, including integration with automation and orchestration tools.

  • Hands-on experience working with AWS, GCP, Azure, or OCI environments in a lab or training context.

  • Possession of relevant certifications such as CCNP, RHCSA, Certified Kubernetes Administrator, or equivalent credentials.