Graphcore

Join Graphcore’s BMC Engineering team as a Graduate Firmware Engineer developing and validating low-level embedded firmware for advanced AI compute systems. The role combines firmware implementation, automated testing, hardware bring-up, lab debugging, and hardware-software analysis.

Firmware Engineering Intern supporting low-level embedded firmware for advanced AI compute systems. The role offers hands-on experience in development, automated testing, debugging, hardware bring-up, and lab-based system validation.

Develop diagnostic software and stress-testing tools that validate next-generation AI SoCs and expose intermittent hardware failures. This Staff-level role sits at the intersection of software engineering, hardware architecture, silicon bring-up, and platform observability.

Lead the development of system-level diagnostic and stress-testing software for Graphcore’s next-generation AI silicon. This role combines low-level software engineering, silicon validation, and hardware observability across CPUs, accelerators, memory, PCIe, firmware, and complete server platforms.

Own the quality gate for the Linux device drivers, user-space libraries, and platform tools powering Graphcore’s next-generation AI systems. This hands-on role combines deep systems testing with ownership of test strategy, infrastructure, and production quality.

Build and scale internal tooling and services that support the building, testing, integration, and release of Graphcore’s machine learning software stack. This senior role works across software infrastructure, QA, and development teams in secure, reproducible HPC environments.

Senior Software Engineer focused on Build Engineering, developing internal tooling and processes that build, test, integrate, and release Graphcore’s machine learning software stack. The role works across software infrastructure, QA, and development teams in secure, reproducible environments.

Build and optimize framework support that enables AI developers to use Graphcore hardware with Triton, PyTorch, and other ML frameworks. This role offers deep technical ownership across compiler and performance-focused software.