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Graphcore

Delivers IPU-powered AI cloud services

Manufacturing Test Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeAustin, TX, USANo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline.
  • At least 10 years of experience in manufacturing test engineering, production engineering, or hardware manufacturing.
  • At least 3 years of engineering management experience, including leading and developing technical teams.
  • Experience managing teams.
  • Extensive experience supporting high-volume server, storage, networking, or AI infrastructure manufacturing.
  • Proven experience developing manufacturing test strategies from board-level (L6) through rack-level (L11) manufacturing.
  • Extensive experience working with joint design manufacturing (JDM), original design manufacturing (ODM), or contract manufacturing partners.
  • Strong expertise in in-circuit testing (ICT) and manufacturing defect analysis (MDA).
  • Strong expertise in board functional testing.
  • Strong expertise in system- and rack-level manufacturing testing.
  • Strong expertise in manufacturing diagnostics.
  • Strong expertise in Linux-based manufacturing environments.
  • Strong expertise in automated manufacturing test systems.
  • Experience defining manufacturing test infrastructure, fixture requirements, and production capacity planning.
  • A strong understanding of server hardware architecture, firmware, BIOS/baseboard management controller (BMC), networking, and power systems.
  • Demonstrated success improving yield, reducing manufacturing escapes, and driving structured root cause analysis.

Responsibilities

  • Define and own the end-to-end manufacturing test strategy from L6 board assembly through L11 rack integration.
  • Develop standardized manufacturing test methodologies that optimize quality, throughput, cost of test, and scalability across multiple products and JDM sites.
  • Establish manufacturing test standards, best practices, and engineering processes that support high-volume server manufacturing.
  • Lead, mentor, and develop a team of 3–5 Manufacturing Test Engineers supporting multiple hardware programs.
  • Establish team priorities, allocate resources, and ensure successful execution of manufacturing test deliverables.
  • Serve as the primary technical escalation point for manufacturing test and production issues.
  • Partner with Hardware, Platform, Firmware, Validation, Reliability, Quality, and Operations teams to ensure manufacturing test coverage aligns with product design intent and customer quality expectations.
  • Lead Design for Test (DFT) and Design for Manufacturability (DFM) reviews to ensure products are optimized for efficient, high-quality manufacturing.
  • Own manufacturing test coverage reviews across board, subsystem, system, and rack levels, ensuring comprehensive structural and functional defect detection.
  • Serve as the primary technical interface with JDM partners for manufacturing test strategy, implementation, and production readiness.
  • Lead technical reviews covering manufacturing readiness, test coverage, infrastructure, yield performance, capacity planning, and corrective actions.
  • Review and approve manufacturing test plans and ensure consistent execution across manufacturing sites.
  • Define the manufacturing test infrastructure required to support high-volume production, including test stations, test fixtures, factory automation, rack-level test infrastructure, network infrastructure, manufacturing software environments, test data collection, and traceability.
  • Work with JDM partners to establish manufacturing capacity plans, optimize factory layouts, and ensure sufficient test throughput to meet production demand.
  • Define and monitor key manufacturing metrics, including First Pass Yield (FPY), retest rate, manufacturing escapes, test cycle time, and throughput.
  • Lead cross-functional root cause investigations and drive corrective and preventive actions (CAPA).
  • Establish a closed-loop quality process by partnering with Data Center Operations and Sustaining Engineering to analyze field failures and manufacturing escapes, ensuring lessons learned are incorporated into future manufacturing test strategies and diagnostic coverage.

Desired Qualifications

  • A master's degree in a relevant engineering discipline.
  • Experience supporting hyperscale cloud or AI infrastructure manufacturing.
  • Experience with Python or Bash scripting for manufacturing automation.
  • Familiarity with Manufacturing Execution Systems (MES), factory analytics, and statistical process control.
  • Lean Manufacturing or Six Sigma certification.

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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