Graphcore
AI compute
StaffSoftwareEngineer
Neural analysis suggests this role is
optimal for Staff candidates.
“Staff Software Engineer at Graphcore. Skills: Collectives Communication Library design and development, C++, multithreading, IPC, AI hardware accelerator integration. Designing, implementing, testing and documenting Collectives Communication Library for new AI hardware accelerator. Troubleshooting and resolving complex technical issues”
Industry & Context.
Excellent problem-solving skills; ability to debug and resolve complex issues
What They're Looking For.
Must Have
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, 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, understanding of version control systems (preferred Git), Ability to work within a multinational team and with multinational customers, Excellent written and verbal communication skills
Nice to Have
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
What You'll Do.
testing and documenting Collectives Communication Library for new AI hardware accelerator
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
How You'll Work.
Team & Collaboration
Collaborating with other teams to design, implement and test new features; working as part of a scrum team; Ability to work within a multinational team and with multinational customers
Communication Scope
Excellent written and verbal communication skills
Full Job Description
Salary Range: PLN 350,000 - 474,000 PLN Subject to alignment to the responsibilities and 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 Staff Software Engineer in the Collectives Team, you will drive the effort to design and develop the Collectives Communication Library enabling users to utilize large computing clusters. The ideal candidate will have extensive 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 Communication Library for new AI hardware accelerator 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 Profil
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