Senior Software Engineer

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.

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)
• Experience with communication libraries (for example NCCL, MPI)
• Knowledge of machine learning frameworks (for example PyTorch)
• Knowledge of modern C++ standards 17/20

• 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