About us
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.
It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.
Job Summary
We need an engineer to join our Platform Quality Assurance group. You will creatively exercise our product to provide feedback to the engineering delivery and product management teams. This helps them make decisions about engineering effort and the trajectory of the product. Working in a component Quality Assurance team means you will have a close working relationship with the relevant development teams; or working in the integration Quality Assurance team means you will be exercising the aggregated and composed system at a much larger scale with a bias towards informing the product management team.
You will provide valuable observations and measurements of the product, looking beyond the natural focus of the delivery and product teams, painting a comprehensive behavioural picture of the product in typical and atypical scenarios.
You will go beyond simply following established testing methodologies. Working intimately with delivery and quality teams, you will exercise engineering skills to design and build novel tests and measurements gathering insights from our systems. Balancing this will be your wisdom, deciding when to adopt established methods and when a customised or bespoke measurement is needed. Your approach will think about what works and what does not, in context, to help us build a catalogue of system and domain specific measurements giving us confidence in understanding the platform quality.
Responsibilities and Duties
- Planning, constructing, and executing tests and reports optimised for the different decision- making readers including delivery engineering and the product management teams.
- Organising and maintaining a repository of results & collaboration with the QA team.
- Developing or refining your expertise in the domain area of the product component or the system in aggregate and at scale.
- Specific domains include Workload Management (Kubernetes, Ray, and so on); Cloud Development (Cloud Infrastructure Automation); Management & Observability (open source and commercial monitoring, observability and DCIM solutions)
Skills and Experience
[Essential]
- Strong relevant programming experience Python/Go/C++/infrastructure-as-code scripting or related to the domain.
- Experience working in Linux environments.
- Automation of building/testing with continuous integration systems.
- Strong impartial report writing optimised for the reader.
- Aptitude for planning, constructing, and executing responsibilities & duties above.
- English- C1 level.
[Desirable]
- Domain experience of the products under test: Containerisation (e.g. Docker), Virtualisation and Provisioning, Workload and job scheduling (e.g. Kubernetes, Ray) on high core-count machines and rack-scale installations, Management and Observability (e.g. Prometheus, OpenTelemetry, DataDog, Splunk, etc.).
- 10+ years of relevant experience related to quality assurance/testing teams.
- Experience with the Atlassian suite and CI/CD platforms such as Jenkins; GitHub or GitLab actions.
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.
