3 months ago
Cambridge, United KingdomSenior
Responsibilities
- Implement and optimize current machine learning models for performance and accuracy across thousands of accelerators.
- Test and evaluate internal software releases, provide feedback to software engineering teams, make code fixes, and conduct code reviews.
- Benchmark models and machine learning 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 stay current with developments in AI.
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 or JAX.
- Strong Python or C++ software development skills.
- Expertise in deep learning across model training, optimization, and evaluation.
- Experience with distributed training or inference of machine learning models across 64 or more accelerators.
- Ability to design, execute, and report on machine learning experiments.
- Deep understanding of performance bottlenecks and methods to overcome them.
- Desirable experience with MLOps for Kubernetes-based clusters, production systems using large language models, or low-precision arithmetic.
- Desirable experience writing C++, Triton, or CUDA kernels for machine learning performance optimization.
- Familiarity with HPC systems and networking technologies including Infiniband, NVLink, and RoCE.
- Open-source contributions or published research papers are desirable.
- Knowledge of cloud computing platforms is desirable.
- Applicants must have the right to work in the UK; visa sponsorship is unavailable.
Benefits
- Flexible working arrangement
- Generous annual leave policy
- Private medical insurance and health cash plan
- Dental plan
- Pension matched up to 5%
- Life assurance and income protection
- Generous parental leave policy
- Employee assistance programme with health, mental wellbeing, and bereavement support
- Healthy food and snacks at the central Bristol office, including a barista bar
- Flexible interview approach and reasonable-adjustment support
- Applicants must have the right to work in the UK; visa sponsorship is not available
Tech Stack
Categories
About Graphcore
Graphcore designs and sells Intelligence Processing Units (IPUs), systems, and a full software stack for training and inference of AI models in data centers and research labs. Revenue comes from hardware systems and associated software tools and services, used for workloads across NLP, computer vision, and graph neural networks. Founded in 2016 and headquartered in Bristol, the company is part of SoftBank Group and focuses on on‑prem and cloud deployments.