Software Engineer in Build Engineering

About Graphcore

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. 

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. 

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.  

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.

Job Summary

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems.

The Team

An exciting opportunity to join a new team within the Software Operations group. The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learning Software Stack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments.

Responsibilities and Duties

Developing our internal tooling for building, testing and integrating together the ML Software Stack

Developing tools and technical processes for Software Releases

Providing guidance to developers on best build practices and dependency management

Communicating regularly with developers, tech leads, and software architects about aspects of the ML Software Stack

Working closely with QA and the ML Software Stack to resolve any integration issues

Contributing fixes towards the ML Software Stack

Essential:

Knowledge of Python/C++ (or similar language)

Understanding of Build Processes and Frameworks

Experience working in Linux environments

Good communication skills

Desirable:

Experience with Remote Caching and Execution (e.g. Bazel)

Experience with Build Tools (e.g. CMake)

PythonDocker