Jobs at Graphcore

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.

The engineer will evaluate large-scale Linux systems, design workloads, build execution systems, interpret results, and ensure reliability for production readiness.

The Research Engineer will advance AI research, implement ML experiments, collaborate with engineers, and publish findings at conferences.

As a Senior Machine Learning Engineer, you will develop and optimize AI models for Graphcore's hardware, focusing on performance and scalability, and collaborating with cross-functional teams.

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.

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

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 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.

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

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.

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.

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

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.

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

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

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.