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Graphcore

Delivers IPU-powered AI cloud services

Electronics Lab Manager

Facilities ManagementConfirmed live in the last 24 hours
Full-timeBristol, UKNo salary listedIn-person

About the Job

Requirements

  • Strong technical understanding of electronic test equipment, lab infrastructure, setup, calibration, and troubleshooting.
  • Practical knowledge of electrostatic discharge (ESD) prevention, control systems, audits, and training.
  • Deep understanding of health and safety requirements in electronics laboratory environments.
  • Ability to work with engineering teams to plan, configure, and support technical lab setups.
  • Experience coordinating subcontractors for maintenance, calibration, upgrades, or specialist technical services.
  • Leadership skills to build, manage, and mentor a team of technicians.

Responsibilities

  • Own the safe, reliable operation of the Bristol electronics laboratories.
  • Ensure facilities, equipment, and infrastructure support work across engineering and operations.
  • Manage test equipment, lab infrastructure, ESD controls, goods in and out, maintenance planning, and technical readiness.
  • Build and guide a technician team that supports multidisciplinary lab users.
  • Set standards, improve processes, and solve problems to support delivery.

About the Company

Graphcore

Delivers IPU-powered AI cloud services

Graphcore.ai focuses on building and delivering Intelligence Processing Units (IPUs) and related AI services for enterprises. It provides IPU-powered cloud services, pre-trained AI models, optimized inference engines, and APIs on a subscription basis with on-demand pricing and free tiers through cloud partners. The IPUs accelerate AI workloads and enable scalable, cost-efficient AI deployment in enterprise applications. The company differentiates itself through specialized IPU hardware and optimized software stack, plus partnerships with cloud providers to reach customers, rather than relying on generic hardware. The goal is to help businesses scale AI-powered products and operations efficiently by offering flexible, scalable compute and ready-to-use AI components.

Company size
501-1,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$1.1B
Headquarters
Bristol, United Kingdom
Founded
2016

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