Senior Cloud Engineer, Graphcore
More information about location
2+ days a week in office
Advanced AI systems and services
Open for applications
Advanced AI systems and services
501-1000 employees
Open for applications
More information about location
2+ days a week in office
501-1000 employees
Company mission
To make machine learning faster, easier and more intelligent.
Role
Who you are
- Bachelor's degree or equivalent practical experience in a relevant subject
- Solid software engineering or IT experience, with proven delivery as an individual contributor
- Experience managing on-premises or private-cloud environments
- Strong Linux scripting and system administration skills across bash, Python, awk, sed, Ubuntu, RHEL and variants
- Experience with Git, CI pipelines and Infrastructure-as-Code tools such as Terraform/OpenTofu, Ansible or Packer
- Hands-on understanding of cloud services, virtualisation, networks, storage, monitoring and observability
- While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate
What the job involves
- Build the cloud platform that puts Graphcore AI systems into real use
- As a Senior Cloud Engineer, you will develop and operate private cloud services for Graphcore teams and users. You will turn product and user requirements into reliable, deployed services
- Your work will support large-scale AI systems built from Graphcore hardware, high-performance servers, networks and storage. These systems help engineers validate, benchmark and optimise the platforms behind advanced AI compute
- You will use Infrastructure-as-Code, observability and automation to deploy, test and improve cloud infrastructure. You will also work with datacentre, software and product teams to keep critical systems performing
- This is hands-on engineering with real ownership. You will often work with pre-release hardware and software, where judgement and pace matter
- The Cloud Platform Team builds the systems that give internal users and customers access to Graphcore AI infrastructure. Work moves from requirements to deployed services, with engineers close to the users and systems they support
- You will work across Software Platform, Datacentre Operations and Product Development. Decisions are shaped by technical evidence, user needs and the realities of operating critical infrastructure
- This team suits engineers who take responsibility, speak up and move quickly. You will be trusted to work independently, solve hard platform problems and keep services available
Our take
The hardware required to train AI models comes at a high cost, both financially and environmentally, producing millions of dollars in expenses and hundreds of tons of greenhouse gases. In response, Graphcore develops accelerator chips designed to expedite AI system training while significantly reducing power consumption.
AI accelerators like those crafted by Graphcore specialise in enhancing specific AI applications, such as artificial neural networks, deep learning, and machine learning. Utilising multicore designs and prioritising low-precision arithmetic or in-memory computing, these accelerators elevate the performance of large AI algorithms, achieving breakthrough results in natural language processing and computer vision.
Graphcore has ambitious plans to create an AI supercomputer, aiming to be one of the most powerful in its class. However, progress on this has extended beyond its planned 2024 debut, and the company was purchased by Softbank later that year. Though the acquisition by the Japanese multinational lowered Graphcore's valuation and highlighted structural problems in the local financing of UK tech pioneers, the buyout will undoubtedly aid the company in its ambitions to shape the future of AI computing.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Dec 2020
$222m
SERIES E
Feb 2020
$150m
SERIES D
Total funding: $682m
Company benefits
- Work-Life Balance: We believe you should have a good work-life balance. Everyone's situation is different, so we offer flexible working arrangements and start and finish times, allowing you to choose when to work from home or come into the office
- Wellbeing: We want to ensure that our employees have the resources and support they need to prioritise their health and wellbeing
- Healthcare: We offer Private Medical Insurance (PMI) to our employees to help them take care of their health and that of their loved ones
- Progression: We prioritise learning and development as an integral part of our culture at Graphcore. Our Talent Development team is dedicated to equipping all our employees with the necessary tools, resources, and support to enhance their skills and reach their full potential in their careers
- Pension: We believe that our employees deserve the best when it comes to planning for their future
- Income Protection: Graphcore understands that unforeseen circumstances can happen, and we want to ensure our employees have the necessary financial security in place
Company HQ
Old City, Bristol, UK
Leadership
Nigel Toon
(Co-Founder & Exec Chair)Previously the President and CEO at picoChip Designs (processors for telecoms). As well as the VP and GM of Europe at Altera (semiconductors, merged with Intel).
Simon Knowles
(Co-Founder & CTO)Founded two successful semiconductor companies, Element14 and Icera, for a combined value of over $1 billion.
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