Cloud Systems Test Engineer

Reposted 2 Days Ago
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Bristol, England
In-Office
10-10 Annually
Senior level
Artificial Intelligence • Semiconductor
The Role
Join the Platform Quality Assurance group to creatively test products, providing feedback to engineering and product management, and developing novel testing methodologies while collaborating with stakeholders.
Summary Generated by Built In

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

 

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, 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

Automation
C++
Datadog
Docker
Go
Jenkins
Kubernetes
Linux
Opentelemetry
Prometheus
Python
Splunk
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The Company
HQ: Palo Alto, CA
389 Employees
Year Founded: 2016

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.

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