Salary Range: PLN 225,420 - 304,980
Subject to alignment to the responsibilities and duties of the role
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.
Job Summary
As a Cloud Software Engineer, you will play a key role in enabling new AI accelerator hardware within Kubernetes environments. You will be responsible for developing device plugins in Go, ensuring seamless integration with existing Kubernetes clusters, and providing a native Kubernetes end user experience. This role requires a strong foundation in software development, container orchestration technologies and cloud computing.
Responsibilities and Duties
- Develop and maintain device plugins in Go for new AI accelerator hardware integration in Kubernetes.
- Ensure seamless integration of new hardware with existing Kubernetes clusters.
- Collaborate with cross-functional teams to design, implement, and test new features.
- Participate in code reviews, design discussions, and troubleshooting sessions.
- Maintain high standards of software quality within the team by following good practices and habits.
- Write and maintain comprehensive documentation for your code and the overall project.
- Stay up-to-date with the latest trends and technologies in cloud computing and Kubernetes.
Skills and Experience
- Bachelor's degree in Computer Science, Engineering, or a related field.
- At least 3 years of experience in software development, preferably in cloud environments.
- Strong working knowledge of Python or Go programming language.
- Experience with Kubernetes is essential, with a preference for candidates holding a Certified Kubernetes Administrator (CKA) certification.
- Familiarity with container orchestration, and cloud-native development.
- Knowledge of cloud computing platforms such as Azure, GCP, AWS and their services.
- Familiarity with machine learning-related technologies within the Kubernetes ecosystem e.g. Kubeflow, KubeVirt, Kata containers, Volcano is highly desirable.
- Knowledge of RDMA networks is considered an asset.
- Experience with CI/CD pipelines and DevOps tools e.g. GitHub/GitLab.
- Excellent communication and teamwork skills.
- English- B2 level.
Benefits
In addition to a competitive salary, Graphcore offers flexible working, annual leave policy, medical and dental health plans, a gym card, medical assessments and employee pension (matched up to 4%). We also have an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Top Skills
What We Do
Graphcore has created a new processor, the Intelligence Processing Unit (IPU), specifically designed for artificial intelligence. The IPU’s unique architecture means developers can run current machine learning models orders of magnitude faster. More importantly, it lets AI researchers undertake entirely new types of work, not possible using current technologies, to drive the next great breakthroughs in general machine intelligence.
Our next generation 3D Wafer-on-Wafer Bow IPU systems are helping AI innovators worldwide to build better, more innovative AI solutions, whether their focus is on language and vision, exploring graph neural networks and LSTMs or creating something entirely new.
We believe our IPU technology will become the worldwide standard for artificial intelligence compute. The performance of Graphcore’s IPU is going to be transformative across all industries and sectors whether you are a medical researcher, roboticist or building autonomous cars.
Our team is at the forefront of the artificial intelligence revolution, enabling innovators from all industries and sectors to expand human potential with technology. What we do, really makes a difference.
We're always interested in hearing from exceptional people to join our team.
