[Remote] Senior Lab Infrastructure and Automation Manager at NVIDIA

United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

BiotechnologyIndustries

Requirements

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

Responsibilities

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

Skills

Linux

Virtualization

Lab Networking

Kubernetes

Docker

Ansible

Git

Python

Problem-Solving

Technical Support

Automation

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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