Top Tech Jobs & Startup Jobs

The Staff Software Test Engineer is responsible for software validation and quality assurance, including test design, execution, and automation. The role requires collaboration with teams, maintenance of automation frameworks, and ensuring product quality in hardware and software environments.

The Staff Firmware Engineer will be responsible for designing, developing, and delivering firmware for Graphcore's next-generation products. The role involves participating in technical discussions, code reviews, and Agile ceremonies while also supporting problem resolution related to firmware. The engineer will work with embedded software engineering and real-time systems.

As a Technical Program Manager at Graphcore, you will manage new product introductions in the PCB and PCBA domains, coordinate engineering and manufacturing developments, oversee product roadmaps, drive DfX reviews, and improve supply chain yield and quality. Engaging with cross-functional teams and suppliers is crucial to ensure project success.

The Senior Cloud Software Engineer will lead the development of plugins in Go for new AI accelerator integration within Kubernetes. Responsibilities include mentoring junior engineers, collaborating with teams, resolving technical issues, and writing documentation while staying updated on Kubernetes trends.

As a Cloud Software Engineer at Graphcore, you will develop device plugins in Go for AI accelerator hardware integration within Kubernetes environments. The role involves ensuring hardware compatibility, collaborating with teams to design features, maintaining software quality, and keeping up with cloud computing trends.

The Staff Software Engineer will develop and maintain the Collectives Communication Library for Graphcore's AI hardware. Responsibilities include implementing new features, resolving technical issues, and ensuring integration with the existing AI ecosystem, while participating in agile practices within a scrum team.

The Research Scientist will conduct and publish innovative research in machine intelligence, focused on algorithms and applications for machine learning. Responsibilities include leveraging Graphcore's hardware for large-scale models, collaborating with teams to explore new ideas, and engaging with the external research community through presentations and conferences.