Senior Cloud Development 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
201-500 employees
Open for applications
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
- This is a hand-on role requiring a solid background in use of cloud infrastructure, deployment using Infrastructure-as-Code, 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 services
- Bachelor's degree or equivalent practical experience in a relevant subject
- Solid software engineering or IT experience with a proven track record of delivering technical output as an individual contributor
- Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, including priorities, risks, issues, impacts and constraints
- Strong proven Linux scripting ability (bash, python, awk, sed)
- Strong proven Linux system administration (Ubuntu, RHEL and variants)
- Experience with a version control system (preferably Git) and using it to manage system configuration or automation
- Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar
- A solid hands-on understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring
- Experience with OpenStack deployments or the technologies they rely on (e.g. Ceph, Open vSwitch, KVM, QEMU )
- Experience with IAC automation tools (Terraform/OpenTofu, Ansible, Packer)
- Experience with container deployment and management tools (e.g. docker)
- Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki
- Good communication and presentation skills, and experience dealing with end-users of IT services
- An ability to work independently on critical infrastructure without oversight, and with a focus on end-user availability
- Experience with workload queue management systems (SLURM, LSF)
Desirable
- Experience with Openstack cloud platforms
- Experience with managing production Kubernetes clusters and workloads
- Experience with managed switch configuration (e.g. EOS, SONiC, DNOS)
- Programming experience with Python3 utilising classes and inheritance
- Programming experience with Go
What the job involves
- We are looking for a Senior Engineer to join our Cloud Development Team and help develop and deploy services
- Working closely with our colleagues in Platform Engineering, Datacentre Operations and Product Development teams, you will deploy 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
- We build Graphcore products into large-scale AI solutions for our customers and the Cloud Development Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds
- Often the internal systems will be using and developing pre-release hardware and software, so it’s vital you are comfortable with unproven components
- You'll develop and operate end-user services on our private clouds and support internal users in their use. You will turn end-user and product requirements into deployed services
- Help to build automation to collect and analyse metrics and other data from the cloud services to support clear identification and reporting of any issues. Work with users to provide information of any product-related issues to Engineering and QA departments
- Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds
- Operate and extend existing OpenStack-based cloud services and contribute to the deployment and development of new ones
- Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure-as-code in internal and external datacentres
- Drive corrective actions for systems that are not operating correctly, working with DC operations and Graphcore Engineering as required
- Work with external vendors of off-the-shelf switches, servers and storage solutions to specify, benchmark and integrate 3rd party products into our Cloud Reference Design
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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