Senior Software Engineer

Responsibilities

• Design and evolve an ML application-level simulator that models workload execution, system behaviour, and resource usage
• Translate real-world workloads and benchmarking data into accurate simulation models
• Validate simulator outputs against real system measurements and continuously improve fidelity
• Build scalable, maintainable components that support evolving hardware and software capabilities
• Collaborate with performance engineers, ML teams, and silicon architects to reflect real use cases
• Drive adoption of the simulator as a decision-making tool across the organisation

Requirements

• Strong C++ development experience in performance-sensitive or large-scale systems
• Strong Python skills and familiarity with ML frameworks such as PyTorch
• Solid understanding of computer architecture, memory hierarchy, and heterogeneous systems
• Familiarity with ML accelerator concepts including tensor cores, compute tiles, and high-bandwidth memory

Preferred Qualifications

• Understanding of modern ML architectures such as transformers and MoE in training and inference
• Experience with simulators or performance models for hardware or distributed systems
• Knowledge of parallelism models and their mapping to hardware
• Experience profiling and debugging complex, multi-layer systems

Benefits

• Competitive salary
• Annual leave policy
• Medical and dental health plans
• Gym card
• Employee pension matched up to 4%

About the Company

Graphcore builds the future of AI compute, creating the complete AI compute stack from silicon and software to datacenter-scale infrastructure. As part of the SoftBank Group, Graphcore delivers key technology into the fast-growing SoftBank AI ecosystem and is expanding teams globally to meet the vast AI opportunity.