Salary Range: PLN 260,400 - 352,200
Subject to alignment to the responsibilities and duties of the role.
About the jobBuild the AI compute libraries that unlock performance on next-generation hardware.
As a Senior Software Engineer, you will build high-performance AI compute libraries for Graphcore’s next generation of AI hardware. Your work will sit close to the machine, where numerical correctness, throughput and latency all matter.
You will design and implement kernels for linear algebra and tensor operations, including GEMM, convolutions and reductions. You will own performance and correctness through microbenchmarks, regression tests and numerics validation.
You will profile and optimise across threading, cache locality, memory layout and kernel launch efficiency. You will also improve product quality by debugging issues and resolving bugs.
This is a role for someone who wants to shape the software layer that helps customers get more from AI hardware.
The team and cultureOur ML Kernels & Runtime team builds the compute libraries that help customers gain maximum performance from AI hardware. The work is practical, technical and close to the systems that define real-world performance.
You will work in an expanding team where engineers take ownership, move quickly and solve problems with evidence. Decisions are shaped through profiling, testing, technical discussion and a shared focus on quality.
You will contribute through design, implementation, debugging and mentoring. You will also support Agile ways of working, helping the team keep momentum while raising the standard of the product.
What we’re looking for- Excellent programming and scripting skills using C++ and Python
- Understanding of processor architectures and profiling on Linux
- Strong grasp of algorithmic performance, including vectorisation, memory hierarchy and threading
- Hands-on experience with BLAS or DNN stacks, with the ability to read or extend kernels
- Understanding of numerical stability and trade-offs across FP32, FP16, BF16 or FP8
- Clear written and verbal communication, with the judgement to share knowledge and support others
While 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.
Benefits- Flexible working: Balance your work and personal life with greater flexibility
- Comprehensive healthcare and dental cover: Premium medical and dental insurance, with the option to extend cover to your family
- Phantom equity: Share in Graphcore’s success
- Fitness and wellbeing support: A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres
- Financial protection: Death and disability insurance, providing financial security for you and your loved ones
- Retirement savings: Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions
- Employee Assistance Programme (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters
We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.
We’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.
SponsorshipApplicants must have the legal right to work in Poland. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role.
Join the Team at GraphcoreGraphcore 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.
As 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.
Graphcore’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.
If you want to shape the performance foundation for next-generation AI hardware, we’d love to hear from you. Apply now to be part of the journey.
Skills Required
- Excellent programming and scripting skills using C++ and Python
- Understanding of processor architectures and profiling on Linux
- Possess excellent written and oral communication skills
What the Team is Saying
What We Do
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.
Why Work With Us
Our team is at the forefront of the machine intelligence revolution, enabling innovators from all industries to build AI-native products to expand human potential. What we do at Graphcore really makes a difference.
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Graphcore Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
At Graphcore, we value wellbeing and flexibility to support a healthy work/life balance. Our hybrid approach encourages office-based colleagues to work onsite three days a week, with trusted flexibility built on trust and transparency for everyone.
