In this role you will design and implement improvements to our large scale training infrastructure and directly help make technical decisions to optimise our models' training performance and efficiency. Strong engineering skills with fluency in Python and PyTorch or other acceleration libraries. Experienced in scaling up GPU jobs via large-scale compute clusters using Slurm or Kubernetes.

As an experienced engineer with a passion for computer vision, machine learning, and embedded systems, you will manage technical interactions with customers in your territory, becoming their go-to expert and helping grow our Metis AI platform into a market leader. You'll guide customers through evaluation, adoption, and deployment of Axelera AI hardware. Most hands-on work involves using Voyager SDK to deploy AI models and pipelines on these platforms.