Senior Software Engineer

Salary Range: PLN 260,400 - 352,200 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 ML Software Performance Analysis team, you will play a critical role in ensuring end-to-end performance excellence of our proprietary AI hardware and software stack. You will directly report to the Performance Analysis Team Lead and collaborate closely with component teams, including ML Framework developers, Compiler and Runtime teams, Infrastructure engineers, and Product Management. Your work will directly influence the efficiency and scalability of our ML software solutions, significantly impacting our business by enabling reliable and performant AI solutions for customers. The Team  The ML Software Performance Analysis team is a part of the wider ML Software Engineering organisation, responsible for delivering optimised, proprietary machine learning solutions. Our team consists of experienced engineers and domain experts focused on rigorous performance benchmarking, in-depth analysis, and cross-layer optimization from single chip to large-scale, distributed systems. We work closely with both internal partners and external collaborators to ensure our solutions meet the highest standards of performance, efficiency, and scalability. Our core responsibilities include: ML Software Stack Performance Reports – We publish regular reports that provide a comprehensive view of the performance status of the ML software stack End-to-End Performance Optimization – We take a holistic approach to performance, ensuring that local optimizations do not lead to global regressions. Our work spans component boundaries, enabling balanced and efficient performance across the entire stack Responsibilities and Duties Own performance analysis across the full ML stack, from model execution down to hardware utilization Identify bottlenecks and regression trends using profiling, benchmarking, and deep system analysis Drive cross-team optimizations involving frameworks, compilers, runtime, and infrastructure Design and maintain benchmarking environments for synthetic, focused benchmarks up to large-scale ML workloads Produce performance reports that translate low-level findings into ...