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Debug the high-speed interfaces that decide whether advanced AI systems perform in the real world.
As a Validation and Debug Engineer, you will help prove Graphcore silicon and platforms work across real product conditions.
You will build deep knowledge of our devices, boards and system behaviour.
You will own hands-on validation and debug in the lab, focused on SerDes, PCIe Root Complex and Ethernet.
Your work will help resolve complex issues across silicon, hardware, firmware and architecture teams.
This role is for someone who enjoys getting close to the hardware.
You will tune links, investigate failures and turn difficult lab findings into clear engineering decisions.
The team and culture
You will work closely with Architecture, Silicon Engineering, Hardware Engineering and Firmware.
Progress comes through practical evidence, clear communication and fast problem solving.
The team expects ownership without daily oversight.
You will drive bring-up, debug issues and help teams reach decisions based on data.
You will be trusted to speak up when something is unclear or risky.
The best ideas can come from anyone close to the problem.
What we’re looking for
· Strong hands-on hardware validation experience, including board bring-up and subsystem debug · Experience validating and debugging Ethernet, PCIe Root Complex and SerDes systems · Confident use of lab instrumentation, including oscilloscopes, BERT systems, VNA/TDR equipment and PCIe protocol analysers · Ability to debug signal integrity, protocol-level and interface issues through to root cause · Experience with PCIe bring-up, LTSSM analysis, link training, equalization tuning and interoperability testing · Ability to work independently, take responsibility and drive issue resolution across teams
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.
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Semiconductor company that developed the Intelligence Processing Unit (IPU), a processor purpose-built to accelerate machine learning and AI workloads.
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