{"id":2253,"url":"https://alion.io/job/graphcore-software-engineer","title":"Software Engineer","company":{"id":33,"name":"Graphcore","domain":"graphcore.ai","url":"https://alion.io/company/graphcore","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":163,"ghost_share":0.117,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":69,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gdańsk, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":196000,"max":265000,"currency":"PLN","period":"year","gross":null,"usd_annual":67802},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CMake","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"C","optional":true},{"name":"CI/CD","optional":true},{"name":"GitHub Actions","optional":true},{"name":"GitLab CI","optional":true},{"name":"HPC","optional":true},{"name":"Machine Learning","optional":true},{"name":"MPI","optional":true},{"name":"NCCL","optional":true},{"name":"PyTorch","optional":true},{"name":"PyTorch C++","optional":true}],"status":"live","first_seen_at":"2026-05-13T15:19:53Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-18T11:32:06Z","board_verified":true,"closed_at":null,"days_open":157,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":157},"description":"Salary Range: PLN 196,000 - 265,000 \nSubject to alignment to the responsibilities and duties of the role\nAbout the job\nAs a Software Engineer in the Collectives Team, you’ll help develop the Collectives Communication Library for new AI hardware accelerators.\nThe library enables users to utilise large computing clusters, making communication an important part of running workloads at scale.\nYou’ll implement, test and document library features, working with other teams to design and test new functionality.\nYou’ll also troubleshoot complex technical issues and help integrate new hardware with the existing AI ecosystem.\nThe team and culture\nWe 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.\nWork 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.\nThe team has a high level of technical expertise, with opportunities to attend thematic conferences and team outings roughly once a quarter.\nWhat we're looking for\nExperience developing software in C++, with experience using Python and C\nGood problem-solving skills and the ability to debug and resolve complex technical issues\nExperience with unit testing frameworks such as Boost.Test and Google Test\nExperience with build tools including CMake, Make and Ninja\nStrong understanding of version control systems, preferably Git\nKnowledge of multithreading, parallel computing and inter-process communication for efficient concurrent applications\nWhile 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.\nDesirable experience\nRDMA networking libraries such as libibverbs or libfabric\nParallel algorithms and optimisation for AI/ML and HPC systems\nContinuous Integration/Continuous Delivery pipelines, including GitHub Actions or GitLab CI\nCommunication libraries such as NCCL or MPI\nMachine learning frameworks such as PyTorch\nModern C++ standards, including C++17 and C++20\nBenefits\nFlexible working: Balance your work and personal life with greater flexibility\nComprehensive healthcare and dental cover: Premium medical and dental insurance, with the option to extend cover to your family\nPhantom equity: Share in Graphcore’s success\nFitness and wellbeing support: A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres\nFinancial protection: Death and disability insurance, providing financial security for you and your loved ones\nRetirement savings: Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions\n Employee Assistance Programme (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters\nWe welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.\nWe’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.\nSponsorship\n\nApplicants must have the legal right to work in Poland. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role.\nJoin the Team at Graphcore\nGraphcore 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.\nAs 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.\nGraphcore’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.\nReady to work on challenging problems at the intersection of software and AI hardware? 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