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Graphcore

Delivers IPU-powered AI cloud services

Senior Manufacturing Product Engineer

Manufacturing EngineeringUpdated on Nov 11
Full-timeHsinchu, North District, Hsinchu City, TaiwanNo salary listed

About the Job

Requirements

  • Strong fault diagnosis, problem solving, and failure analysis skills, including in-circuit test to surface-mount technology debug.
  • Thorough understanding of automated surface-mount technology assembly processes and lean manufacturing methodologies.
  • Working knowledge of L10 mechanical design and system build, ideally for high-performance computing products.
  • Experience using statistical analysis tools such as JMP, SQL, and Python.
  • Ability to connect silicon, package, and printed circuit board interactions into clear design-for-manufacturing feedback.
  • Experience using Six Sigma continuous improvement methods, including statistical process control and design of experiments.
  • Fluency in Mandarin and strong English communication skills for cross-functional, cross-regional, and supplier-facing work.
  • Legal right to work in Taiwan.

Responsibilities

  • Support volume production across printed circuit board assembly with build partners in Taiwan.
  • Improve yield, quality, and manufacturability across complex products.
  • Link manufacturing process performance to product metrics.
  • Manage partner engineering relationships, resolve manufacturing issues, and drive continuous improvement.
  • Shape design-for-manufacturing feedback, production data requirements, and next-generation manufacturing technologies.
  • Work directly at partner sites and engage technically with internal teams.
  • Address production issues using data and engineering judgment.

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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