Senior Software Engineer

EngineersOfAI; Województwo pomorskie; On-site; PLN 260,000 - 352,000; Full time

Job summary

EngineersOfAI in Województwo pomorskie, Poland is seeking a Senior Software Engineer to lead the design and development of a large-scale collective communication simulator. You will work with a team of experts to develop innovative solutions for AI hardware.

The ideal candidate will possess extensive software development experience, particularly in C++, along with strong problem-solving abilities and a collaborative mindset. This position offers the opportunity to make a significant impact on AI technology.

Qualifications

• Extensive experience in software development using C++.
• Excellent problem-solving skills with a focus on debugging.
• Strong understanding of multithreading and IPC techniques.

Responsibilities

• Designing and documenting Collectives Simulator for AI hardware.
• Collaborating with teams to test and implement features.
• Troubleshooting complex technical issues.

Skills

C++ programming

Python programming

C programming

Problem-solving skills

Multithreading

Inter-process communication (IPC)

Unit testing frameworks

Version control systems (Git)

Tools

CMake

Boost.Test

Google Test

Make

Ninja

Job description

Salary Range: PLN 260,000 - 352,000 PLN

Subject to alignment to the responsibilitiesand duties of the role

About Graphcore

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence

Job Summary

As a Senior Software Engineer in the Collectives Simulator team, you will drive the design and development of a large‑scale collective communication simulator that enables the analysis of network parameters and the efficient implementation of communication algorithms. The ideal candidate will have experience in designing, developing, and maintaining complex software systems involving custom hardware. You will be responsible for leading development efforts, mentoring junior engineers, and driving technical excellence in our projects.

The Team

The Collectives team is responsible for building the Collectives Communication library for new AI hardware Graphcore is working on. The library provides communication primitives optimized to achieve high bandwidth and low latency at very high scale.

Responsibilities and Duties

• Designing, implementing, testing and documenting Collectives Simulator for new AI hardware
• Collaborating with other teams to design, implement and test new features
• Troubleshooting and resolving complex technical issues
• Ensuring seamless integration of new hardware with existing AI ecosystem
• Participating in agile development – working as part of a scrum team

Candidate Profile

Essential:

• Extensive experience in software development using C++ programming language
• Experience with Python and C programming
• Excellent problem‑solving skills and ability to debug and resolve complex issues
• Strong knowledge of multithreading and inter‑process communication (IPC) techniques for development of efficient concurrent applications
• Experience with unit testing frameworks such as Boost.Test and Google Test
• Proficiency with build tools such as CMake, Make and Ninja
• Strong understanding of version control systems (preferred Git)
• Ability to work within a multinational team and with multinational customers
• Excellent written and verbal communication skills

Desirable

• Experience in development of SW simulators
• Experience with RDMA networking libraries (for example libibverbs, libfabric)
• Knowledge of multithreading and parallel computing concepts, including experience with parallel algorithms and optimization for AI/ML and HPC systems
• Experience with Continuous Integration/Continuous Delivery (CI/CD) pipelines, including setting up automated workflows and deployments (for example GitHub Actions, GitLab CI)