Principal Product Engineer

Graphcore; West of England; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working

Generous leave

Pension

Phantom equity

On-site cafe/barista

Job summary

Graphcore seeks a Principal Product Engineer to help turn manufacturing data into higher yield, quality and cost improvements across silicon, PCBA, boards and server rack scale systems. You will guide product performance through launch, ramp and sustained high-volume manufacturing.

You will partner with OSATs, test engineering, manufacturing, quality, data engineering and analytics teams to release new products and solve yield, test and manufacturing challenges, driving practical impact across

Qualifications

• Strong semiconductor product engineering or test/manufacturing engineering in high-volume production.
• Deep understanding of semiconductor, PCBA and system-level manufacturing and testing.
• Strong statistical analysis skills: SPC, DOE, regression, hypothesis testing, Six Sigma.
• Experience analyzing and visualizing large manufacturing datasets with Python/SQL or similar.
• Proven ability to drive yield, quality or cost improvements across complex processes.

Skills

Semiconductor Eng

Test engineering

Manufacturing Eng

Statistical analysis

Python/SQL

Data visualization

Yield improvement

Cross-team collaboration

Job description

About the job

Turn complex manufacturing data into higher yield, stronger quality and better products at scale.

As Principal Product Engineer, you will help Graphcore manufacture advanced products with optimised yield, quality and cost. You will guide product performance through launch, production ramp and sustained high volume manufacturing.

Your work will influence chip manufacturing, test, PCBA and system level production. You will help teams find the signals that improve reliability, reduce cost and protect quality.

You will partner with OSATs, test engineering, manufacturing, quality, data engineering and analytics teams. Together, you will release new products and solve difficult yield, test and manufacturing challenges.

This role suits someone who enjoys deep technical ownership and practical impact. You will turn manufacturing data into action across silicon, boards, blades and rack scale systems.

The team and culture

You will join the Product Test and Diagnosis team within Manufacturing Operations. The team spans Bristol, Cambridge, India, the US and Taiwan, working close to products and production partners.

Work happens through direct ownership, technical depth and clear decisions. You will define best practice, challenge assumptions and move quickly when yield or quality needs attention.

The team connects silicon, board level assemblies, server blades and rack scale systems. Decisions are grounded in data, engineering judgement and accountability for manufacturing outcomes.

What we’re looking for

• Strong semiconductor product engineering, test engineering or manufacturing engineering capability in high volume production
• Deep understanding of semiconductor, PCBA and system level manufacturing and testing
• Strong statistical analysis skills, including SPC, DOE, regression, hypothesis testing and six sigma methods
• Proven ability to analyse and visualise large manufacturing datasets using Python, SQL, JMP or similar tools
• Experience driving yield, quality or cost improvements across complex manufacturing processes
• Ability to work across test, manufacturing, quality, data and external partner teams with clear technical ownership

While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate.

Benefits

• Flexible working: Balance your work and personal life with greater flexibility
• Generous leave: Take time to rest, recharge and enjoy life outside of work
• Retirement planning support: Up to 5% matched pension
• Phantom equity: Share in Graphcore’s success
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day
• Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones
• Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover
• Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn

We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.
We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you.

Sponsorship

Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role.

Join the Team at Graphcore

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.

If you want to turn manufacturing insight into better products at scale, we’d love to hear from you.

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