At Graphcore we’re optimistic for a future where people live healthier, more informed, more creative lives. Our team is at the forefront of the artificial intelligence revolution, enabling innovators from all industries and sectors to expand human potential with technology. We believe our IPU technology will become the worldwide standard for artificial intelligence, transforming whole industries and sectors whether you are a medical researcher, roboticist or building autonomous cars.

What we do really makes a difference.

Responsibilities:

  • Integrate Graphcore IPU-POD product into public or private cloud service
  • Explore cutting-edge cloud technology, make prototype demos to show solutions that can improve ease of use and reduce cost
  • Define new features and explore new architect of software, participate in core function development, design test flow
  • Enrich document, tutorial for software usage

Requirements:

  • Experience in Kubeflow, MLFlow projects
  • A strong background in go and python development is required
  • Experience in Kubernetes development, knowledge of Custom Resources Definitions and Operator pattern, ability to quickly locate and solve k8s issues
  • Experience in training or inference components development in k8s cluster is preferred
  • Knowledge of docker technology, design dockerfile, build docker images and deployment
  • Knowledge of main components and lifecycle of cloud AI applications
  • Experience in tf-serving, triton, tensorrt is preferred
  • Knowledge of GCP, Azure, AWS cloud service especially AI related products

We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful, so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know.

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