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Graphcore

Delivers IPU-powered AI cloud services

Supply Quality Engineer

Quality EngineeringConfirmed live in the last 24 hours
Full-timeAustin, TX, USANo salary listedIn-person

About the Job

Requirements

  • Experience managing supply chain quality in a high-tech manufacturing organization.
  • Ability to work across several organizations with engineering leaders and factory operators.
  • Expertise in Advanced Product Quality Planning (APQP), Failure Mode and Effects Analyses (FMEAs), Statistical Process Control (SPC), control plans, ISO audits, and other quality tools.
  • Experience facilitating engineering and management teams through structured root cause analysis, including 8D and 5-why methods.
  • Ability to represent Graphcore and partner companies and act as the Voice of the Customer within the supplier chain.
  • Strong problem-solving skills.
  • Ability to deliver results under pressure and to challenging deadlines.

Responsibilities

  • Facilitate APQP activities such as risk assessment, FMEA, and control plan development to proactively identify and mitigate quality risks.
  • Create and maintain quality plans, ensuring conformance to customer specifications and internal standards.
  • Ensure suppliers fulfill new product introduction (NPI) requirements to achieve production readiness.
  • Collect and analyze key production metrics such as cycle time and yield to support process and quality improvements.
  • Support training and education of production personnel.
  • Develop standard operating procedures to improve operator efficiency and process consistency.
  • Participate in Kaizen events to measure, document, and continuously improve manufacturing processes.

Desired Qualifications

  • Demonstrable experience in the semiconductor industry or server manufacturing, with an emphasis on supplier quality improvements.
  • Certification and/or experience in Lean and/or Six Sigma.

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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