Software Engineer

AI in this role

pytorch

ai-research

Salary Range: PLN 196,000 - 265,000

Subject to alignment to the responsibilities and duties of the role

About the job

As a Software Engineer in the Collectives Team, you’ll help develop the Collectives Communication Library for new AI hardware accelerators.

The library enables users to utilise large computing clusters, making communication an important part of running workloads at scale.

You’ll implement, test and document library features, working with other teams to design and test new functionality.

You’ll also troubleshoot complex technical issues and help integrate new hardware with the existing AI ecosystem.

The team and culture

We value face-to-face interaction and make time to meet in the office frequently. The team works in two-week sprints, with three stand-ups each week, fortnightly sprint planning and a weekly team meeting.

Work is planned with input from the Technical Product Manager, covering both longer-term priorities and upcoming sprints. Engineers typically work in small groups on larger tasks or components, coordinating the work among themselves.

The team has a high level of technical expertise, with opportunities to attend thematic conferences and team outings roughly once a quarter.

What we're looking for

Experience developing software in C++, with experience using Python and C
Good problem-solving skills and the ability to debug and resolve complex technical issues
Experience with unit testing frameworks such as Boost.Test and Google Test
Experience with build tools including CMake, Make and Ninja
Strong understanding of version control systems, preferably Git
Knowledge of multithreading, parallel computing and inter-process communication for efficient concurrent applications

While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate.

Desirable experience

RDMA networking libraries such as libibverbs or libfabric
Parallel algorithms and optimisation for AI/ML and HPC systems
Continuous Integration/Continuous Delivery pipelines, including GitHub Actions or GitLab CI
Communication libraries such as NCCL or MPI
Machine learning frameworks such as PyTorch
Modern C++ standards, including C++17 and C++20

Benefits

Flexible working: Balance your work and personal life with greater flexibility
Comprehensive healthcare and dental cover: Premium medical and dental insurance, with the option to extend cover to your family
Phantom equity: Share in Graphcore’s success
Fitness and wellbeing support: A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres
Financial protection: Death and disability insurance, providing financial security for you and your loved ones
Retirement savings: Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions
Employee Assistance Programme (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters

We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.

We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you.

Sponsorship

Applicants must have the legal right to work in Poland. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role.

Join the Team at 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 brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.

Ready to work on challenging problems at the intersection of software and AI hardware? Apply now and join Graphcore.

How we rate this

Software Engineer at Graphcore rates 21 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI ResearchPyTorch

Questions you could be asked

Tell me about a research question you investigated. What did you find?
Walk me through how you've used PyTorch in your day-to-day work.

Adapt your resume

List these exact terms on your resume: AI Research and PyTorch. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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