As a Research Scientist at Graphcore, you'll advance AI research by generating ideas, designing experiments, and collaborating with engineers. Your goal is to define and test next-generation AI hardware while publishing results in top AI conferences. Background knowledge in deep learning and mathematics is essential for executing and reporting machine learning experiments.

The Senior Engineer will develop and optimize cloud-ready AI solutions, manage AI systems performance, and support internal users on private clouds.

As a Cloud Systems Test Engineer, you'll develop and execute tests, collaborate with QA teams, and improve product quality through innovative testing methodologies in a cloud environment.

Responsible for designing circuit solutions, validating circuit performance, collaborating with the PCB CAD team, and debugging microcontroller hardware control code.

The role involves designing, implementing, and optimizing software for machine learning frameworks, coaching junior team members, and improving code quality.

The Staff System Software QA Engineer designs and implements software validation for System Software, ensuring quality through test design, execution and stakeholder collaboration.

The Trade Compliance Manager oversees compliance with import/export regulations, manages product classification, develops policies, trains teams, and liaises with authorities.

The role involves building prototypes from ideas, engaging with the product team, and managing deployments on cloud platforms.

The Hardware System Test Engineer designs test software for hardware testing, collaborates with teams, performs test analysis, and resolves technical issues.

As a Senior Staff System Software Engineer, you will design and implement kernel and device driver software, collaborate with hardware teams, and mentor junior developers.

The Software Product Manager will oversee product vision in AI/ML, conducting market research, managing requirements, and collaborating with engineering teams to prioritize enhancements.

As a Characterisation and Bring-Up Engineer, you will execute testing plans for silicon devices, automate data analysis, and document results collaboratively with engineering teams.

The role involves creating and executing characterisation plans for silicon devices, working with other teams to ensure proper operation under all conditions, and maintaining automated systems for testing and data analysis.

The Machine Learning Engineer will develop and optimize AI models for Graphcore's specialized hardware, collaborate with cross-functional teams, and evaluate new software releases while staying updated with AI advancements.

The role involves contributing to the design of AI superchips, using EDA tools for sign-off quality, collaborating across teams, and solving complex engineering problems.

The Silicon Verification Engineer will manage verification tasks, communicate across teams, generate tests, and ensure quality delivery of silicon designs.

Develop and simulate PCB structures ensuring high-speed SERDES and DDR interfaces perform correctly. Oversee component signal launches and work with CAD engineers.

The Silicon Logical Designer will produce micro-architecture specifications, RTL for chips, collaborate across teams, and contribute to design infrastructure and checks.

The Principal Engineer will lead the architecture and implementation of scalable AI infrastructure management solutions, mentoring junior engineers and ensuring effective collaboration across teams to meet customer needs.

Join the Platform Quality Assurance team to design and execute tests, provide feedback to engineering and product teams, and ensure platform quality through custom measurements and reporting.