Pytorch Engineer

EngineersOfAI; Województwo pomorskie; On-site; PLN 260,400 - 352,200; Full time

Job summary

EngineersOfAI is looking for a Software Engineer to join its team focused on machine learning frameworks. You will report to a Team Lead and be pivotal in designing and implementing software for machine learning accelerators.

Your responsibilities will include optimizing performance, reviewing code changes, and collaborating closely with other engineers. Ideal candidates will have expertise in PyTorch and a proactive communication style, contributing to the team’s technical direction and processes.

Qualifications

• Experience in delivering software for machine learning applications.
• Ability to work in an agile environment.
• Capable of collaborating with cross-functional teams.

Responsibilities

• Design and implement software for machine learning frameworks.
• Optimize performance and maintain code quality.
• Support users and collaborate with engineering teams.

Skills

Proficiency in PyTorch

Software development experience

Knowledge of machine learning frameworks

Excellent communication skills

Job description

Salary Range: 260,400 - 352,200

Subject to alignment to the responsibilitiesand duties of the role

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

Reporting to a Team Lead in the frameworks team you will play a pivotal role in designing, implementing, optimising, maintaining and supporting the software required to ensure the machine learning accelerators that Graphcore develop, enjoy first-class support in state-of-the-art machine learning frameworks such as PyTorch and Triton.

This role sees you joining our PyTorch team, where you will be part of a SCRUM team working on delivering new features, optimise performance, reviewing code changes, writing technical documentation, working with upstream communities, maintaining the code base and supporting users.

In this role you will closely collaborate with other engineers, both within the PyTorch team as well as other engineering teams. You help the team coordinate and deliver complex, open-ended technical tasks. You are pro‑active and an excellent communicator. You will develop deep expertise in the PyTorch project and will (in time) contribute to the team’s technical direction and processes. You understand the importance of managing code quality and code complexity and balancing this against the need to deliver business outcomes.

Note that the job title and associated benefits will be tailored to the successful candidate’s level of experience at the job offer stage to one of Software Engineer, Staff Engineer, Senior Staff Engineer, Principal Software Engineer or Senior Principal Software Engineer.

Note that as the machine learning software landscape is quite fast moving and as such flexibility is essential – over time you may be asked to work on frameworks other than PyTorch.

The Team

The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton, Jax and TensorFlow. We’re a talented and diverse team of engineers and we foster a culture of collaboration, openness and learning. All our software teams follow agile working practices, and we care deeply about both ease‑of‑use as well as performance. We work closely work with other Graphcore teams as well as leading open‑source communities.

By joining us, you’ll join our exciting journey on the cutting edge of the machine learning industry. Your contributions will make a real difference – enabling machine learning engineers and researchers to unlock the full potential of Graphcore’s hardware.