Principal Product Engineer

Posted 22 Days Ago
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Bristol, England, GBR
Hybrid
Expert/Leader
Artificial Intelligence • Semiconductor
Joining Graphcore gives you a seat at the top-table, shaping the future of Artificial Intelligence.
The Role
Responsible for optimizing yield, quality and cost throughout the product lifecycle, collaborating with multiple teams to improve manufacturing processes and reliability.
Summary Generated by Built In
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 Principal Product Engineer, you will be responsible for ensuring that Graphcore products are manufactured with optimised yield, quality and cost, throughout the product lifecycle. You will work closely with OSATs, test engineering, manufacturing and quality teams to release new products and sustain high volume production. 

This is a highly technical role requiring deep expertise in semiconductor product engineering, manufacturing analytics, and system-level test and manufacturing processes. You will provide technical leadership across manufacturing operations, helping define best practices, solve complex yield and quality challenges, and improve manufacturing efficiency and product reliability. 

 

The Team 

The role will be as part of the Product Test and Diagnosis team, which is part of the Graphcore Manufacturing Operations department and has members in Bristol, Cambridge, India, US and Taiwan. The team is responsible for definition, development, and execution of an end-to-end test strategy spanning silicon, board-level assemblies, server blades, and rack-scale systems. Testing is performed across the full product lifecycle, including manufacturing, and deployed field environments. 


Responsibilities and Duties 

  • Drive yield, quality and cost optimisation across the product lifecycle, including chip manufacturing, test, PCBA and system level manufacturing 
  • Work closely with test engineering to define requirements for coverage, reporting and datalog formats from both ATE and system level electrical test  
  • Own analytics for SMT manufacturing processes, including SPI/AOI/AXI/ICT etc 
  • Own analytics for board and system level testing, including boundary scan and functional testing at board/blade/rack level 
  • Work with technology and manufacturing specialists to manage low yield events in production and drive overall yield improvement 
  • Support RMA analysis and reliability/qualification activities 
  • Establish best practices for data collection, cleaning, correlation, and visualization 
  • Collaborate with the Data Engineering and Analytics team to develop loading scripts for new data sources and optimise database schemas  
  • Define and develop standard analyses such as dashboards and enable fast self-service access to data for end users 
  • Regular travel to OSATs and manufacturing partners will be required 

Essential Skills and Experience 

  • Solid experience (10+ years) in semiconductor product engineering, test engineering, or manufacturing engineering 
  • Solid experience in high-volume semiconductor/electronics manufacturing, data visualization tools, and manufacturing systems/databases (MES) 
  • Solid understanding of semiconductor, PCBA and system level manufacturing and testing 
  • Solid expertise in statistical analysis (SPC, DOE, regression, hypothesis testing) and six sigma methodologies 
  • Solid expertise in analysing and visualising large manufacturing datasets 
  • Proficiency in data tools such as Python, SQL, JMP, or similar. 
  • Demonstrated success driving yield and cost improvements in high-volume production 
  • Degree in Electrical Engineering, Computer Science, Physics or similar 

 

Desirable: 

  • Extensive experience and expertise in JMP and in using the JMP scripting language to build standard analysis reports, dashboards and applications 
  • Experience in using data visualisation tools such as Apache Superset 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Skills Required

  • Solid experience in semiconductor product engineering, test engineering, or manufacturing engineering
  • Solid experience in high-volume semiconductor/electronics manufacturing, data visualization tools, and manufacturing systems/databases
  • Solid understanding of semiconductor, PCBA and system level manufacturing and testing
  • Solid expertise in statistical analysis and six sigma methodologies
  • Proficiency in data tools such as Python, SQL, JMP, or similar
  • Degree in Electrical Engineering, Computer Science, Physics or similar

What the Team is Saying

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Graphcore Compensation & Benefits Highlights

  • Healthcare Strength Health coverage includes medical and dental insurance, with US plans through Cigna and Kaiser, HDHP options with employer‑funded HSA contributions, a health cash plan, EAP access, and dedicated mental‑health support. These provisions extend to family options in some regions, reinforcing broad medical and wellbeing support.
  • Retirement Support Retirement programs include a UK pension match up to 5% and a US 401(k) with a 100% company match up to 6% (with a true‑up). This pairing signals strong, predictable long‑term savings support across key locations.
  • Leave & Time Off Breadth Time‑off policies feature “unlimited” holiday in the UK and flexible, generous PTO with paid US holidays. Paid family leave for birthing parents and bonding further broadens time‑away support.

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The Company
HQ: Bristol
762 Employees
Year Founded: 2016

What We Do

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.

Why Work With Us

Our team is at the forefront of the machine intelligence revolution, enabling innovators from all industries to build AI-native products to expand human potential. What we do at Graphcore really makes a difference.

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Graphcore Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

At Graphcore, we value wellbeing and flexibility to support a healthy work/life balance. Our hybrid approach encourages office-based colleagues to work onsite three days a week, with trusted flexibility built on trust and transparency for everyone.

Typical time on-site: 3 days a week
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