Graphcore
manufacturing
ManufacturingProductEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Manufacturing Product Engineer at Graphcore. Skills: process management, cross-functional coordination, vendor/stakeholder management, operational metrics, resource planning, continuous improvement, Lean Six Sigma, data-driven decision making. working closely with the Graphcore Design and Test Engineering teams, Quality and Supply Chain Management in support of NPI development and volume production. work closely with the relevant Contract Manufacturer (CM) to provide day to day manufacturing sup”
What You'll Achieve.
continuous improvements in manufacturing capabilities, quality and yield; reduce defects, variation, scrap, and rework; identify process trends, systemic issues, and opportunities for automation or optimization
Industry & Context.
root cause analysis of manufacturing faults and their resolution; structured problem-solving activities; fault diagnosis; problem solving; failure analysis
travel in Taiwan and global travel to Graphcore sites or to other suppliers
What They're Looking For.
Must Have
working knowledge and experience of L6 (PCB assembly) processes, equipment, materials and inspection, Experience in introducing and sustaining complex products in an SMT environment, Understanding of root cause analysis of manufacturing faults and their resolution, Understanding of manufacturing execution and engineering data collection systems, Have a data driven approach to decision, experienced in industry standard statistical analysis tools (e. g. JMP, SQL, python) and data visualisation techniques, Lean Six Sigma Greenlack Belt and demonstrable experience implementing these methodologies in a production environment, Ability to work on own initiative as well as in cross functional and cross regional teams by employing interpersonal skills, Fluent in Mandarin with working proficiency in spoken and written English, Degree or equivalent in Electronic Engineering, Mechanical Engineering, Manufacturing, or related discipline
Nice to Have
Ability to understand the interaction between silicon, package and PCB in order to provide DfMA feedback to design teams, fault diagnosis, problem solving and failure analysis skills, eg ICT to SMT debug, Knowledge of L10 mechanical design and system build for HPC/AI data centre compute products
What You'll Do.
working closely with the Graphcore Design and Test Engineering teams
Quality and Supply Chain Management in support of NPI development and volume production
work closely with the relevant Contract Manufacturer (CM) to provide day to day manufacturing support as well as continuous improvements in manufacturing capabilities
develop and improve data-driven decision making methodology using lean six sigma and similar techniques within Graphcore and our suppliers
developing and maintaining robust manufacturing processes at the wafer foundry
package assembly and PCBA subcontractors
Develop a deep technical understanding of the CM capabilities and ensure alignment with hardware design
Support the technical interface between internal engineering teams and the CM during NPI and mass production
Drive continuous improvement in PCB assembly process capability
and quality at CM sites
working with Graphcore and supplier quality teams
apply Lean Six Sigma tools and statistical methods to reduce defects
Champion best practices in manufacturing data collection and management
analysis and reporting
Use manufacturing data analytics to identify process trends
and opportunities for automation or optimization
Lead structured problem-solving activities
How You'll Work.
Team & Collaboration
working closely with the Graphcore Design and Test Engineering teams, Quality and Supply Chain Management; work closely with the relevant Contract Manufacturer (CM); working with Graphcore and supplier quality teams; work on own initiative as well as in cross functional and cross regional teams
Communication Scope
working proficiency in spoken and written English
Process & Methodology
NPI development, volume production, DMAIC, 8D, FMEA
Full Job Description
About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary As a Manufacturing Product Engineer, you will be working closely with the Graphcore Design and Test Engineering teams, Quality and Supply Chain Management in support of NPI development and volume production. You will work closely with the relevant Contract Manufacturer (CM) to provide day to day manufacturing support as well as continuous improvements in manufacturing capabilities, quality and yield. A key focus for this role will be to develop and improve data-driven decision making methodology using lean six sigma and similar techniques within Graphcore and our suppliers. The Team The role will be as part of the Manufacturing and Technology Process team at Graphcore. This team is part of the Operations group and has members in Bristol, Cambridge and Taiwan. The team is responsible for developing and maintaining robust manufacturing processes at the wafer foundry, package assembly and PCBA subcontractors based in Taiwan. Key Responsibilities and Duties Develop a deep technical understanding of the CM capabilities and ensure alignment with hardware design Support the technical interface between internal engineering teams and the CM during NPI and mass production Drive continuous improvement in PCB assembly process capability, yield, throughput, and qua
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