Graphcore
AI compute
SeniorSoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer at Graphcore. Skills: ML Software Performance Analysis, performance optimization, benchmarking, system analysis, Python/C/C++ programming. 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”
What You'll Achieve.
ensuring end-to-end performance excellence of our proprietary AI hardware and software stack; directly influence the efficiency and scalability of our ML software solutions; enabling reliable and performant AI solutions for customers; ensure our solutions meet the highest standards of performance, efficiency, and scalability
Industry & Context.
problem-solving skills
What They're Looking For.
Must Have
programming skills in Python/C/C++, with a focus on performance-sensitive applications, Solid understanding of computer architecture, performance profiling, and low-level system behaviour (CPU, memory, I/O), Experience with benchmarking and analysing complex, distributed systems, Familiarity with Linux-based development environments and tools, problem-solving skills and ability to interpret and communicate performance data clearly
Nice to Have
Knowledge of ML frameworks (ideally PyTorch) and their performance characteristics, Experience with performance analysis in GPU-accelerated environments (CUDA, ROCm, etc. ), Familiarity of hardware performance characteristics especially in ML context including high-speed networking (e. g. RoCE, RDMA), Familiarity with distributed computing frameworks (ideally collectives experience), Experience building dashboards or visualizations for performance monitoring (e. g. , Grafana, Prometheus, or custom tooling), Exposure to performance regression tracking and CI pipelines for performance validation
What You'll Do.
Own performance analysis across the full ML stack
from model execution down to hardware utilization
Identify bottlenecks and regression trends using profiling
and deep system analysis
Drive cross-team optimizations involving frameworks
Design and maintain benchmarking environments for synthetic
focused benchmarks up to large-scale ML workloads
Produce performance reports that translate low-level findings into actionable insights
Ensure local optimizations improve global system performance
not just isolated components
Partner with engineering teams to guide performance improvements and validate impact
How You'll Work.
Team & Collaboration
collaborate closely with component teams, including ML Framework developers, Compiler and Runtime teams, Infrastructure engineers, and Product Management; work closely with both internal partners and external collaborators; Partner with engineering teams to guide performance improvements and validate impact
Communication Scope
ability to interpret and communicate performance data clearly
Full Job Description
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, efficien
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