About Graphcore
How often do you get the chance to build a technology that transforms the future of humanity? Graphcore products have set the standard in made-for-AI compute hardware and software, gaining global attention and industry acclaim. Now we are developing the next generation of artificial intelligence compute with systems that will allow AI researchers to develop more advanced models, help scientists unlock exciting new discoveries, and power companies around the world as they put AI at the heart of their business. Graphcore recently joined SoftBank Group – bringing large and ongoing investment from one of the world’s leading backers of innovative AI companies.
Job Summary
As a Cloud Software Engineer, you will play a critical role in enabling new AI accelerator hardware within Kubernetes environments. This position focuses on investigating how to integrate the new generation of our hardware into key MLOps technologies from the Kubernetes ecosystem, such as Kubeflow,Volcano, Kueue, and others. Additionally, you will be responsible for developing Go applications, ensuring a seamless and native Kubernetes end-user experience. While Kubernetes integration is the primary responsibility, this role emphasizes the importance of MLOps and machine learning (ML) knowledge to effectively support the development of K8s integration.
Responsibilities and Duties
- Investigate integration strategies for our AI accelerator hardware with MLOps technologies in the Kubernetes ecosystem, such as Kubeflow, Volcano, Kueue, and others.
- Develop and maintain applications in Go for integrating new AI accelerator hardware into Kubernetes environments.
- Ensure seamless hardware integration with Kubernetes clusters, delivering a native end-user experience.
- Participate in code reviews, design discussions, and troubleshooting sessions to enhance system reliability and performance.
- Maintain high software quality standards by following best practices.
- Write and maintain comprehensive documentation for code, projects, and integration guides.
- Stay up-to-date with the latest trends in Kubernetes, AI/ML technologies, and MLOps workflows to ensure the platform remains cutting-edge.
Skills and Experience
Essential Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- At least 3 years of experience in software development.
- Experience with machine learning technologies in the Kubernetes ecosystem, such as Kubeflow, Volcano, and Kueue.
- Familiarity with MLOps workflows and tools for deploying and managing machine learning workloads.
- Working knowledge of Go or Python programming language.
- Expertise in Kubernetes, including resource management and scaling.
- Familiarity with Linux
- English proficiency at a B2 level.
Preferred Qualifications
- Knowledge of distributed training frameworks and techniques for scaling machine learning workloads.
- Hands-on experience with cloud platforms such as AWS, Azure, or GCP, including their machine learning services.
- Knowledge of container orchestration and cloud-native development.
- Familiarity with CI/CD pipelines and DevOps tools like GitHub or GitLab.
Benefits
In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! 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.
Sponsorship
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
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.
