Senior Lab Infrastructure and Automation Manager

Be part of NVIDIA's Education Services division as an Lab Infrastructure & Automation Manager in charge of developing, overseeing, and ground-breaking our innovative lab environments. This position plays a crucial role in rapidly growing and assisting our practical training programs for in-house trainers and Authorized Learning Partners (ALPs) in various time zones worldwide

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.

5 years 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.

NVIDIA brings together some of the most innovative and dedicated minds in the industry. If you are a creative and self-driven professional who thrives on solving challenges, join us and help shape the future of AI infrastructure education.