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As a Graduate Software Engineer in DevOps at Graphcore, you'll support the software build and release process, manage cloud infrastructure, and develop tools/services for machine learning software components.

The Graduate Software Engineer will develop high-performance ML kernels, optimize compute for AI hardware, and ensure software quality and functionality through debugging and testing.

As a Signal Integrity Engineer, you will manage high-speed PCB design, enhance digital interfaces, and validate structures for various advanced interfaces, transforming complex requirements into actionable design rules.

As ML QA Technical Product Owner, coordinate backlog management, support sprint planning, and facilitate cross-team communication to validate machine learning software effectively.

Develop power integrity solutions for AI compute systems, analyze power delivery networks, optimize decoupling strategies, and influence design improvements.

The Hardware Development Engineer designs and validates hardware for AI systems, requiring deep technical ownership and collaboration with cross-functional teams to optimize performance and reliability.

Develop kernel and user space software for maximum hardware performance. Write code, conduct tests, participate in reviews, and contribute to design discussions.

As a Research Scientist, you will design experiments, collaborate with engineers, and advance AI research focusing on embodied AI and world models.

As a research intern, you'll advance AI research by investigating machine learning topics, designing experiments, and implementing models and algorithms under mentorship.

Lead post-silicon validation for AI SoCs, ensuring quality and reliability through effective collaboration and debugging across teams. Foster automation and continuous improvement in validation methods.