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Graphcore

Delivers IPU-powered AI cloud services

Staff Board Test Operations Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeHsinchu, North District, Hsinchu City, TaiwanIn-person

About the Job

Requirements

  • Strong experience developing and maintaining printed circuit board (PCB) assembly test solutions using platforms such as Teradyne, Keysight, TRI, or SPEA.
  • Deep understanding of surface-mount technology (SMT) and PCB manufacturing processes, failure mechanisms, and test coverage principles.
  • Ability to debug complex issues across design, test, and manufacturing environments.
  • Experience working with manufacturing partners and supporting production test operations.
  • Hands-on experience with electronic test equipment, including oscilloscopes, digital multimeters, source measure units, and power supplies.
  • A practical approach to solving problems, improving yield, and driving continuous improvement.

Responsibilities

  • Develop and deploy PCB assembly test solutions across the manufacturing network.
  • Identify defects early, improve test coverage, and resolve complex production challenges.
  • Lead the development of flying probe and in-circuit test (ICT) solutions.
  • Support external manufacturing partners and drive test platform deployment from new product introduction (NPI) through mass production.
  • Work closely with design engineers, manufacturing teams, and external test partners.
  • Use data and root cause analysis to solve problems.
  • Lead technical decisions, improve processes, and raise standards across the organization.

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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