3 months ago
Responsibilities
- Design and evolve an ML application-level simulator modeling workload execution, system behavior, and resource usage.
- Translate real-world workloads and benchmarking data into accurate simulation models.
- Validate simulator outputs against real system measurements and continuously improve simulator fidelity.
- Build scalable, maintainable components supporting evolving hardware and software capabilities.
- Collaborate with performance engineers, ML teams, and silicon architects to ensure the simulator reflects real use cases.
- Drive adoption of the simulator as an organizational decision-making tool.
Requirements
- Strong C++ development experience, particularly with performance-sensitive or large-scale systems.
- Strong Python skills and familiarity with ML frameworks such as PyTorch and execution graphs.
- Solid understanding of computer architecture, memory hierarchy, and heterogeneous systems.
- Familiarity with ML accelerator concepts such as tensor cores, compute tiles, and high-bandwidth memory.
- Understanding of modern ML architectures such as transformers and MoE in training and inference is desirable.
- Experience with simulators or performance models for hardware or distributed systems is desirable.
- Knowledge of parallelism models and their mapping to hardware is desirable.
- Experience profiling and debugging complex, multi-layer systems is desirable.
Benefits
- Annual leave policy
- Medical and dental health plans
- Gym card
- Employee pension matched up to 4%
- Flexible interview approach and reasonable-adjustment support
Categories
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.