Graphcore

About Graphcore

Accelerating AI with efficient, powerful technology

🏢 Tech👥 201-500 employees📅 Founded 2016📍 Old City, Bristol, UK💰 $682m3.9
B2BArtificial IntelligenceEnterpriseDeep TechComputer VisionMachine LearningSaaSCloud Computing

Key Highlights

  • Headquartered in Bristol, UK with 201-500 employees
  • $682 million raised in Series D funding
  • Developing an AI supercomputer set to debut in 2024
  • Specializes in AI accelerators for deep learning and computer vision

Graphcore, headquartered in Bristol, UK, is a leading player in the artificial intelligence sector, specializing in AI accelerators designed to enhance machine learning efficiency. With over $682 million raised in Series D funding, Graphcore is developing an AI supercomputer set to launch in 2024, a...

🎁 Benefits

Graphcore offers flexible working arrangements to promote work-life balance, along with Private Medical Insurance (PMI) for employees and their famili...

🌟 Culture

Graphcore's culture is centered around sustainability and innovation in AI technology. The company focuses on developing energy-efficient solutions th...

Overview

Graphcore is hiring a Lab Asset & Material Management Program Manager to lead asset and inventory management processes within their R&D infrastructure. You'll develop frameworks and tools to ensure operational excellence in AI computing. This role requires strong organizational and technical skills.

Job Description

Who you are

You are a highly organized and technically knowledgeable individual with experience in program management, particularly in asset and material management. You understand the complexities of managing inventory for advanced technology and have a keen eye for detail, ensuring that every component is tracked and delivered on time. Your background in engineering or a related field gives you the technical insight needed to collaborate effectively with engineering teams. You thrive in environments that require compliance and operational excellence, and you are committed to building inclusive teams that value diverse perspectives.

You have a proven track record of developing and implementing comprehensive asset management frameworks, including processes, tools, and governance standards. Your experience in inventory planning and delivery scheduling for AI/ML hardware and HPC systems makes you an ideal candidate for this role. You are adept at establishing on-site spares programs to ensure continuity across labs, and you understand the importance of reliability in high-tech environments.

What you'll do

In this role, you will lead Graphcore's asset, material, and inventory management processes within the R&D infrastructure. You will build and operate the end-to-end material lifecycle that supports engineering labs and data centers, ensuring that every component, from GPUs to cabling, is tracked and ready when needed. You will create frameworks, tools, and workflows that ensure compliance and operational excellence across the global lab network. Your responsibilities will include developing and implementing a comprehensive asset management framework, leading inventory planning, and establishing on-site spares programs across all labs.

You will collaborate closely with engineering teams to understand their needs and ensure that the necessary materials are available for their projects. Your role will also involve monitoring and reporting on inventory levels, identifying areas for improvement, and implementing best practices in asset management. You will play a key role in supporting Graphcore's mission to drive AI innovation through efficient and effective management of resources.

What we offer

Graphcore offers a dynamic work environment where you can contribute to cutting-edge AI technology. You will be part of a team that values collaboration and innovation, and you will have the opportunity to make a significant impact on the company's operations. We provide a flexible approach to work and are committed to building an inclusive workplace that supports the diverse needs of our employees. Join us in shaping the future of AI computing at our new AI Engineering Campus in Austin.

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