Cloud Software Engineer for AI Accelerator Integration

5 days ago


Gdańsk, Pomerania, Czech Republic Graphcore Full time

Graphcore is a leading innovator in AI hardware and software.

We are seeking a highly skilled Senior Cloud Software Engineer to lead the integration of our new AI accelerator within Kubernetes environments.

This role requires extensive experience in software development, container orchestration technologies, and cloud computing.

As a Senior Cloud Software Engineer, you will be responsible for designing, developing, and maintaining plugins in Go, ensuring seamless integration of our new AI accelerator with existing Kubernetes clusters.

You will also mentor and guide junior engineers, fostering a culture of continuous learning and improvement.

The successful candidate will have a strong understanding of Go programming, Kubernetes, CI/CD pipelines, DevOps tools, Linux, and cloud computing platforms such as Azure, GCP, and AWS.

They will also possess excellent problem-solving skills, attention to detail, and leadership skills.

In return for your expertise, we offer a competitive salary of $140,000 - $180,000 per year, depending on experience.

You will also enjoy a range of benefits, including sport subscription, private healthcare, small teams, international projects, group life insurance, flexible working hours, free coffee, bike parking, playroom, shower, free snacks, free beverages, free parking, in-house hack days, in-house trainings, modern office, no dress code, free breakfast, and Gdansk Bay View.

We are looking for a self-motivated individual who is passionate about cloud computing and Kubernetes.

If you are excited about the opportunity to work with cutting-edge technology and join a dynamic team, please apply now.

Key responsibilities:

  • Design, develop, and maintain plugins in Go for the new AI accelerator integration in Kubernetes.
  • Ensure seamless integration of the new hardware with existing Kubernetes clusters.
  • Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.
  • Collaborate with cross-functional teams to design, implement, and test new features.
  • Conduct thorough code reviews and provide constructive feedback to team members.
  • Troubleshoot and resolve complex technical issues.
  • Engage with the Kubernetes community, contributing to discussions, forums, and open-source projects.
  • Write and maintain comprehensive documentation for your code and the overall project.

Required skills and qualifications:

  • Go programming.
  • Kubernetes.
  • CI/CD pipelines.
  • DevOps tools.
  • Linux.
  • Azure.
  • GCP.
  • AWS.
  • Kubeflow.
  • KubeVirt.
  • Kata containers.
  • Ray.
  • SLURM.
  • RDMA.


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