This role involves advanced troubleshooting, validation, and operational support for AI compute hardware, collaborating with engineering teams to ensure system performance.

Responsible for developing new and maintaining existing kernels for linear algebra operations on AI hardware, while profiling and optimizing performance.

The Staff Systems Engineer will troubleshoot and support Graphcore's AI hardware platforms, ensuring performance and reliability through collaboration and validation processes.

The Senior Systems Engineer role involves troubleshooting, maintaining, and supporting AI compute hardware platforms while collaborating with engineering teams for reliability and performance.

Manage the Hardware System Test Team, develop manufacturing test solutions for complex hardware systems, and drive integration with internal teams for effective product testing.

The role involves defining and leading the global emerging talent strategy, managing university partnerships, and developing assessment frameworks for graduate hiring.

The Compliance Manager will develop and implement security frameworks for global lab environments, ensuring compliance, securing hardware, and managing access control.

Develop and optimize machine learning models tailored for AI hardware, collaborate with cross-functional teams, and conduct experiments to improve efficiency.

Develop and optimize AI models for high-performance systems, collaborate with cross-functional teams, evaluate new methods, and improve model efficiency.

As a Senior Machine Learning Engineer, you will develop and optimize AI models for specialized hardware, scale systems, and collaborate with cross-functional teams.

The Graduate Firmware Engineer will support firmware design, development, and delivery, participate in technical discussions, code reviews, and Agile ceremonies, and help resolve firmware-related issues.

The role involves the bring-up and characterisation of silicon devices, including creating and executing plans, testing, documenting results, and collaborating with engineering teams.

The engineer will develop characterisation plans, automate testing, analyze data, and report on silicon devices to ensure correct operation under all conditions.

The Test Development Engineer will define test methods, automate test systems, and work closely with teams to ensure effective preproduction testing of hardware products.

As a Graduate Machine Learning Engineer, you will develop and optimize AI models for specialized hardware, collaborating with various teams to enhance AI technology and performance.

As a Component Engineer, you will support the selection, qualification, and sourcing of electronic components, manage BoM revisions, and collaborate with manufacturing teams to ensure product quality and reliability.

The BMC Engineer will support the design and delivery of Baseboard Management Controller software, collaborate with engineering teams, and enhance product quality through debugging and coding.

As a Hardware Development Engineer, you will design circuit solutions, validate circuits, and collaborate with teams to develop production systems for AI processors.

The Signal Integrity Engineer will develop and simulate PCB structures to ensure high-speed SERDES and DDR interfaces perform correctly, collaborating with CAD engineers and defining material specifications for optimal performance.

Join the Triton frameworks team to design, implement, optimise and support software enabling Graphcore accelerators to work with ML frameworks (PyTorch, Triton, JAX, TensorFlow). Responsibilities include feature development, testing, performance profiling, code reviews, documentation, working with upstream open-source communities, and resolving regressions and defects.