2 months ago
Responsibilities
- Implement current machine learning models and optimize them for performance and accuracy across thousands of accelerators.
- Test and evaluate internal software releases, provide feedback, make code fixes, and conduct code reviews.
- Benchmark models and ML techniques to identify performance bottlenecks and improve efficiency.
- Design, implement, and evaluate experiments involving novel AI methods.
- Collaborate with Research, Software, and Product teams to define, build, and test next-generation AI hardware.
- Engage with the AI community and track the latest developments in artificial intelligence.
Requirements
- Bachelor’s, Master’s, PhD, or equivalent experience in Machine Learning, Computer Science, Mathematics, Data Science, or a related field.
- Proficiency with deep learning frameworks such as PyTorch and JAX.
- Strong Python or C++ software development skills.
- Expertise in deep learning, including model training, optimization, and evaluation.
- Experience with distributed ML model training or inference across 64 or more accelerators.
- Ability to design, execute, and report on ML experiments.
- Deep understanding of performance bottlenecks and methods to overcome them.
- Desirable experience with Kubernetes-based MLOps, production systems using large language models, or low-precision arithmetic.
- Desirable experience writing C++, Triton, or CUDA kernels for ML model performance optimization.
- Familiarity with HPC systems and networking technologies including InfiniBand, NVLink, and RoCE.
- Open-source contributions or relevant research publications are desirable.
- Knowledge of cloud computing platforms is desirable.
- Strong communication and cross-functional collaboration skills.
Benefits
- Annual leave policy
- Medical and dental health plans
- Gym card
- Employee pension matched up to 4%
- Flexible interview approach and reasonable-adjustment support
Tech Stack
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.