JOB SUMMARY

Reporting to a Team Lead in the frameworks team you will play a pivotal role in designing, implementing, optimising, maintaining and supporting the software ensures Graphcore hardware enjoys first-class support in popular machine learning frameworks such as PyTorch.
As a framework engineer in the PyTorch team you will be part of a SCRUM team working on delivering new features, working on, e.g., performance optimisations, reviewing code change, writing technical documentation, working with upstream communities, maintaining the code base and supporting users.
You are expected to closely collaborate with other engineers, both acting as a role model for more junior members in your own team but also working together with other teams, including teams making low-level libraries that the frameworks use and teams that are developing ML applications on top of the frameworks.

• Designing and implementing new features & maintaining and supporting existing features.
• Developing and maintaining unit tests, component tests and integration tests.
• Optimising the software stack to make it more performant for our users.
• Managing code quality, code complexity and technical debt.
• Contributing to documentation, including user manuals and tutorials.
• Conducting code reviews.
• Resolving regressions, performance issues and software defects.
• Coaching and mentoring other team members.
• Contributing to a collaborative team culture.
• Contribute to continuous improvements to improve ways of working.
• Working with upstream open source development teams.