Search the 23 jobs at Graphcore

The SoC Architect at Graphcore is responsible for the design and modeling of sub-systems within AI acceleration silicon devices. The role involves collaboration with various engineering teams to ensure correct implementation, evaluate third-party IP, and contribute to silicon bring-up and debugging activities.

The SoC Architect at Graphcore is responsible for designing and modeling sub-systems for high-performance silicon devices in AI technology. The role involves collaborating with various teams, supporting silicon design and verification, and contributing to product specifications and improvements.

As a Supply Quality Engineer, you will manage supply chain quality in a high-tech environment, facilitating APQP activities, ensuring supplier production readiness, analyzing production metrics, and supporting training to improve processes and quality.

As a Research Scientist at Graphcore, you will generate and evaluate AI/ML ideas, design experiments, and collaborate with a team to advance AI research and hardware. Responsibilities include presenting findings at conferences and supporting hardware development through research.

The Senior Staff Engineer - Platform QA will engage in the quality assurance of AI compute products by designing and executing unique tests. The role involves close collaboration with engineering and product management teams, developing insights into product performance, and maintaining a repository of results. Candidates should leverage their programming skills and domain expertise in containerization and cloud development to enhance product quality.

The Senior Staff Software Engineer will design, implement, optimize, and maintain software to support Graphcore's hardware in popular machine learning frameworks, such as PyTorch. The role involves developing new features, conducting code reviews, mentoring junior team members, and collaborating with upstream development teams.

The role involves creating and executing plans for the bring-up and characterisation of silicon devices at Graphcore. The engineer will test systems in labs and data centers, maintain an automated testing system, produce characterisation reports, and work closely with design and engineering teams.

The Senior Bring-Up and Characterisation Engineer will create and execute bring-up and characterisation plans for silicon devices, focus on testing systems in the lab and data center, document requirements and report progress, and automate data analysis processes.

The NPI Supply Chain Planner will manage material readiness for New Product Introduction (NPI) builds and support engineering activities by collaborating with engineering and procurement teams to ensure timely delivery of BOMs and manage inventory effectively. They will also monitor EOL status of components and facilitate the transition from NPI to mass production.

As a Lead Characterisation and Bring-Up, you will manage a team to define and execute plans for characterising and bring-up of silicon devices and systems, ensuring all tests are covered. This role requires collaboration with multiple teams and a strong understanding of silicon architecture, design, and performance testing.

The Principal BMC Engineer will lead the design and implementation of Baseboard Management Controller software for AI server systems. Responsibilities include collaborating with hardware teams, aligning customer expectations, ensuring product security, and mentoring team members while developing optimised BMC solutions and overseeing code reviews.

As a Senior Frontend Software Engineer, you will design and develop profiling tools for optimizing applications on Graphcore hardware. Responsibilities include leading development efforts, mentoring junior engineers, and ensuring technical excellence. The role requires extensive experience in software design, strong problem-solving skills, and proficiency in web application development with TypeScript and modern frameworks.

The System Test Engineer will design and develop test software for high-performance computer system hardware, conduct analysis and planning based on test strategy, support contract manufacturing partners, participate in failure analysis, and collaborate across functions to ensure quality solutions. Responsibilities include hardware testing throughout the product lifecycle and making data-driven decisions based on test results.

The Board Test Engineer will analyze PCB design for testability and manufacturing defects, define and develop test solutions, and deploy tests in manufacturing and field environments. Collaboration with internal and external teams is essential for solving complex electronic systems issues.

The Staff Software Test Engineer will design and deliver software validation and quality assurance solutions, create and execute tests, develop automation tools, and provide feedback on software and hardware quality. The role requires technical leadership and collaboration across software teams, with a focus on ensuring reliability, accuracy, and performance of AI-related products.

The Research Scientist will advance AI research at Graphcore by generating innovative AI/ML ideas, designing and executing experiments, and collaborating with peers to develop next-generation AI hardware. Key tasks involve presenting work at conferences and applying deep learning methods in their research.

As a Cloud Software Engineer, you will develop device plugins in Go for AI accelerator hardware within Kubernetes environments, ensuring integration with existing Kubernetes clusters. Collaborate with teams and maintain high software quality standards while documenting your work and keeping abreast of cloud computing trends.

The Signal Integrity Engineer will develop, simulate, and analyze high-speed PCB structures for SERDES and DDR interfaces. Responsibilities include defining PCB stackups, interfacing with CAD engineers, and ensuring robust system performance through rigorous testing and validation in a lab environment.

As a Senior Cloud Software Engineer at Graphcore, you will design and develop plugins in Go for AI accelerator integration within Kubernetes environments. Your role entails mentoring junior engineers, ensuring seamless hardware integration, troubleshooting complex issues, and contributing to open-source projects, while staying updated with Kubernetes technologies.

As a Research Scientist at Graphcore, you'll advance AI research by generating ideas, designing experiments, and collaborating with engineers. Your goal is to define and test next-generation AI hardware while publishing results in top AI conferences. Background knowledge in deep learning and mathematics is essential for executing and reporting machine learning experiments.