Teams at Graphcore

Design and maintain production-quality test infrastructure for Graphcore’s machine learning software stack. Build scalable test frameworks and CI/CD pipelines across simulators, emulators, and physical AI hardware. Create representative ML workloads, analyze execution results, improve testing and tooling, contribute to open-source projects, and mentor junior engineers. The role combines software architecture, automated testing, low-level debugging, and hardware-aware validation.

Design and maintain production-quality ML test infrastructure, CI/CD pipelines, automated testing systems, and representative workloads across simulators, emulators, and AI accelerator hardware. Analyze numerical accuracy and performance, improve testing and developer tooling, contribute to software architecture, and mentor junior engineers. The role requires strong Python, software design, Linux, CI/CD, automated testing, and C or C++ skills.

Conduct research on AI compute, machine learning algorithms, large language models, efficient inference, numerics, world models, molecule generation, or model safety. Implement models and algorithms in Python or C++, design and analyze experiments using frameworks such as PyTorch, and communicate findings through technical presentations or research papers under experienced mentorship.