Senior Software Engineer - AI Compute Simulator

Graphcore — Poland · Posted ~11 hours ago

Senior Full-time PLN 260000-352000

Skills

C++ Python Large-scale Distributed Systems Collective Communication Simulator Development MPI NCCL CUDA Simulator Frameworks Distributed Systems

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Summary ✨ AI‑Generated

A cutting-edge AI compute company, part of a major global technology group, is hiring a Senior Software Engineer to design and develop a large-scale collective communication simulator. The role involves modeling and simulating inter-chip communication patterns for next-generation AI accelerators at datacenter scale. You will work on the complete AI compute stack from silicon to software, collaborating with semiconductor and AI experts. The position offers the chance to solve some of the toughest problems in AI infrastructure with significant resources and long-term backing.

Highlights

Build the future of AI compute at a well-funded semiconductor company backed by SoftBank. Work on large-scale collective communication simulators for next-generation AI hardware. Significant long-term investment and opportunity to impact the global AI ecosystem.

Description

Salary Range: PLN 260,000 - 352,000 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 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 hardwareCollaborating with other teams to design, implement and test new featuresTroubleshooting and resolving complex technical issuesEnsuring seamless integration of new hardware with existing AI ecosystemParticipating in agile development – working as part of a scrum team Candidate Profile Essential Extensive experience in software development using C++ programming languageExperience with Python and C programming Excellent problem-solving skills and ability to debug and resolve complex issuesStrong knowledge of multithreading and inter-process communication (IPC) techniques for development of efficient concurrent applicationsExperience with unit testing frameworks such as Boost.Test and Google TestProficiency 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 customersExcellent written and verbal communication skills Desirable Experience in development of SW simulatorsExperience 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 systemsExperience 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 Benefits In addition to a competitive salary, Graphcore offers annual leave policy, medical and dental health plans, a gym card, and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.