Jobs at Graphcore

Develop and deploy cloud services, optimize AI systems, and work on infrastructure automation while collaborating with various teams.

The role involves testing, validating, and benchmarking ML software, focusing on performance, reliability, and correctness. It requires collaboration on ML frameworks and infrastructure, developing automated testing tools, and owning testing aspects and innovation.

As a Staff Software Engineer (ML QA), you'll design and maintain testing infrastructure for the ML software stack, focusing on automation, software quality, and mentoring junior engineers in a collaborative environment.

Seeking a Senior Cloud Network Engineer to develop high-performance ethernet infrastructure on private clouds, and collaborate with various teams for deployment and integration of AI systems. Responsibilities include automation, maintenance, and user support, requiring extensive cloud and networking experience.

The role involves designing, developing, and maintaining test infrastructure for a complex ML software stack, focusing on automation and engineering best practices.

The Senior ML Engineer will test and benchmark ML software stacks, validate performance, and collaborate with software teams, focusing on building automated testing pipelines.

The Senior Cloud Engineer will develop and deploy services on AI cloud systems, ensuring peak performance and overseeing Kubernetes operations. Strong cloud and Linux experience is essential.

The Senior Cloud Platform Engineer will develop and operate high-performance ethernet infrastructure, automate data collection, and maintain AI systems on private clouds, working closely with various teams to ensure optimal service deployment.

As a Research Scientist, develop new visual generative AI ideas, work on multimodal modelling, and collaborate on hardware-aware AI algorithms and systems.

The Project Manager at Graphcore oversees cross-functional transformation projects, ensuring effective delivery, stakeholder collaboration, and process improvements across various teams.

The Lead Analytics Engineer at Graphcore is responsible for developing and managing the analytics engineering layer, creating robust datasets and metrics, and collaborating with business stakeholders to enhance decision-making through reliable analytics.

The Business Transformation Lead oversees cross-functional initiatives to enhance systems and business processes, aligning with organizational goals and engaging stakeholders.

The Lead Data Engineer will design and oversee data pipelines and platforms, ensuring reliability, scalability, and governance while collaborating with various stakeholders.

The Senior Technical Program Manager will oversee project planning and delivery, ensure team alignment, monitor dependencies, and enhance processes in AI systems development.

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.

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

Lead discovery and design for large transformation programmes: map current processes, define requirements, design future-state workflows, analyse systems and data, support testing and implementation, and drive stakeholder alignment to ensure successful adoption and measurable business outcomes.

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 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.

The Senior Systems Engineer focuses on analyzing performance data from systems, ensuring stability for production, and using engineering judgment for decision-making in a high-performance computing context.