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

Responsible for testing and quality assurance of System Software, including firmware and Linux kernel. Design tests, maintain CI, and promote Test-Driven Development.

The Senior Systems Software Engineer designs and delivers software validation solutions, engages with stakeholders, leads technical initiatives, and supports junior team members in the System Software QA team.

The Senior Systems Software Engineer will design QA solutions, execute tests, ensure software quality, provide technical leadership, and train junior members.

The Senior Systems Software Engineer designs software validation solutions, creates tests, identifies errors, provides feedback, and mentors junior team members in a collaborative environment.

The engineer will design and develop test software, conduct test coverage analysis, and support manufacturing test solutions, ensuring quality hardware testing through collaboration with various teams.

Conduct AI research, design and evaluate experiments, and collaborate on hardware-driven AI innovations. Present findings at conferences.

This role involves providing feedback on product quality, designing tests, maintaining test results, and collaborating closely with engineering teams in AI technology development.

Lead a team to design, implement, and manage management solutions for AI infrastructure, ensuring timely delivery, quality, and fostering innovation.

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.

As a Machine Learning Engineer, you'll develop and optimize AI models, conduct experiments, collaborate with teams, and keep up with AI advancements.

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.

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

The Staff System Software QA Engineer designs and implements validation solutions for software, focusing on testing firmware and Linux kernel modules, while supporting and mentoring junior staff.

This position focuses on attracting and collecting CVs from graduates for various engineering departments in preparation for the 2025 intake.

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

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 Machine Learning Engineer will develop and optimize AI models, collaborate with teams, benchmark techniques, and conduct experiments.

Silicon Verification Engineers are responsible for verification activities, ensuring quality silicon delivery and communication across teams, planning, and implementing test generation and failure diagnosis.

Silicon Physical Design Engineers will develop AI superchips, focusing on designs using modern technologies while collaborating with teams to enhance processes and solve engineering problems.