Join Graphcore as a Power Integrity Engineer to shape reliable power delivery for next-generation AI compute systems.
Posted by employer 19 hours ago
First seen on Joblaze 2 hours ago
Last verified on the company career page 2 hours ago
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Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
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Joblaze summary
In the role of Power Integrity Engineer at Graphcore, the individual will focus on analyzing power delivery networks to ensure the reliability of AI compute systems. Key responsibilities include building PDN models, conducting frequency-domain and time-domain analyses, and making practical design recommendations based on simulation results. This position is suited for engineers with a background in power integrity, who are comfortable transitioning from modeling to real-world applications. The collaborative environment includes experienced colleagues across hardware disciplines, emphasizing evidence-based decision-making.
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From the original posting
Shape the power delivery that will make Graphcore’s next-generation AI compute systems reliable.
As a Power Integrity Engineer, you will analyse power-delivery networks across silicon, package and PCB, turning complex behaviour into practical design recommendations.
You will build PDN models, investigate parasitics, and use frequency-domain and time-domain analysis to understand stability, droop, resonances and transient response. Your work will directly inform decoupling, layout, and power and ground distribution choices.
You will use electromagnetic simulation to understand resistance, inductance, coupling and impedance. You will also validate assumptions, identify technical risks, and connect simulation results with hardware measurements.
You will start with clearly scoped PI problems, supported by experienced engineers when wider decisions are involved. As your capability grows, you will own larger parts of the PDN.
You will work alongside experienced PI engineers and colleagues across hardware disciplines, connecting analysis with real design decisions and measurements.
You will own defined technical problems and move quickly from modelling to recommendations. Decisions are grounded in evidence, physical understanding and clear communication of uncertainty.
You will contribute to design reviews, speak up when results expose risk, and take responsibility for the quality of your analysis.
While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes.
· 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
· Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice
· 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.
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 shape reliable power delivery for the next generation of AI compute systems, we’d love to hear from you. Apply now to help build what comes next.
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