Senior Engineer, Graphcore
Cloud Development
More information about location
2+ days a week in office
Advanced AI systems and services
Be an early applicant
Advanced AI systems and services
201-500 employees
Be an early applicant
More information about location
2+ days a week in office
201-500 employees
Company mission
To make machine learning faster, easier and more intelligent.
Role
Who you are
- The ideal candidate will be experienced within software engineering or IT, with a proven track record of delivering technical output as an individual contributor
- Proven Linux scripting ability and system administration, as well as a hands-on understanding of the technologies underpinning cloud services, virtual networks, resource management and monitoring are essential
- They will have experience or working knowledge of Infrastructure-as-Code automation and deployments, as well as container deployment and management using Docker, Podman or Kubernetes
- We are looking to find a candidate who brings experience with version control systems, monitoring and observability and Continuous Integration or testing pipelines and solutions
- They should also have some knowledge of continuous system management concepts and tools
What the job involves
- We are looking for a Senior Engineer to join our Cloud Development Team
- Working closely with our colleagues in Platform Engineering, Datacentre Operations and Product Development teams, you will help us provide services on our fleet of cutting-edge AI systems
- As part of our Platform Engineering organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high-performance AI solutions
- These include in-house AI systems alongside off-the-shelf high-performance servers, switches and storage solutions
- This is a hands-on role requiring a solid background in infrastructure, cloud deployment using Infrastructure-as-Code, and high-performance networking and storage systems
- You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud components
- Work with the system architecture and engineering teams to develop complete cloud-ready AI solutions based on Graphcore’s next-generation AI products
- Work with our Datacentre Operations Engineers to maintain the fleet of AI systems at peak performance in our private clouds
- Operate and extend existing OpenStack cloud services and contribute to the deployment and development of new ones
- Support internal end-users with application services on our private clouds
- Configure and test new Graphcore AI hardware and systems using Infrastructure-as-Code as they are deployed in internal and external datacentres
- Provide statistics for performance of internal systems and clear reporting of any issues. Work with users to provide clear information of any issues to Engineering and QA departments
- Drive corrective actions for systems that are not operating correctly, working with DC operations, Engineering and datacentres as required
Our take
Traditional hardware, mainly GPUs, used for training these 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 is developing 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 creat an AI supercomputer set to debut in 2024, aiming to be one of the most powerful in its class. The company is actively seeking strategic partnerships to bring this vision to fruition, signaling its commitment to shaping 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
(CEO)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
(CTO)Founded two successful semiconductor companies, Element14 and Icera, for a combined value of over $1 billion.
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