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Graphcore

Delivers IPU-powered AI cloud services

Engineering Change Analyst

Program ManagementConfirmed live in the last 24 hours
Full-timeBristol, UKNo salary listedRemote

About the Job

Requirements

  • Experience in engineering change control, product lifecycle management, or manufacturing operations.
  • Experience using product lifecycle management, enterprise resource planning, or engineering data management systems, with a solid understanding of bills of materials, part numbering, revision control, and engineering documentation.
  • The ability to coordinate multiple changes, track actions to completion, and escalate issues appropriately.
  • The ability to collaborate across Engineering, Manufacturing, Quality, and Supply Chain teams.

Responsibilities

  • Coordinate product and manufacturing changes across complex hardware.
  • Ensure changes are complete, reviewed, and implemented correctly.
  • Improve visibility and maintain accurate product records.
  • Coordinate Engineering Change Requests, Engineering Change Orders, and Deviations throughout their lifecycle.
  • Support impact assessments, change reviews, and communication across teams.
  • Track actions, surface blockers, and keep changes progressing.
  • Help teams understand impacts, document decisions, and resolve issues before changes move forward.

Desired Qualifications

  • Experience in electronics, semiconductors, computing, or complex hardware product development, including contract manufacturing or global production environments.
  • Practical experience with controlled change processes, such as Engineering Change Requests, Engineering Change Orders, Engineering Change Notices, or deviations.
  • Experience using Arena product lifecycle management and supporting or coordinating Change Review Boards or Change Control Boards.
  • A relevant degree, HNC/HND, or equivalent industry experience.

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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