Linux Engineer, Graphcore
2+ days a week in office
Advanced AI systems and services
Job no longer available
Advanced AI systems and services
501-1000 employees
Job no longer available
2+ days a week in office
501-1000 employees
Company mission
To make machine learning faster, easier and more intelligent.
Role
Who you are
- If you're looking to solve interesting problems and see your work deliver real-world results, this is the team for you
- Excellent communication and customer service skills
- Good understanding of troubleshooting principles and methodical problem-solving
- 5+ years in System Administration with strong focus on providing core infrastructure services and automation
- Strong Linux administration skills in Debian & RedHat derivatives on bare metal and virtual machines
- Good networking skills such as VLANs, VPNs, Wi-Fi, routing, subnetting
- Hands-on experience building and managing CI/CD pipelines (e.g., Jenkins, GitLab CI)
- Managing Infrastructure-as-Code using Terraform, Puppet, Ansible, or similar
- Managing Virtualisation Platforms – VMware ESXi/vSphere, KVM/libvirtd
Desirable
- Experience with identifying network/storage/CPU/RAM bottlenecks across complex workloads
- Experience with various monitoring solutions and stack (e.g. Zabbix/Prometheus/Grafana Mimir/Open Telemetry)
- Experience in managing web servers, load-balancers, reverse-proxies(e.g.: ha-proxy, nginx)
- Proficiency with containerisation frameworks and orchestration (e.g.: Docker/containerd/Kubernetes)
- Python programming skills, with the ability to write code to interact with APIs, process data, and build small applications
What the job involves
- As a Linux Engineer at Graphcore, you’ll play a key role in keeping our people and systems running smoothly
- You’ll provide day-to-day support for Core IT services and various Linux environments used by other teams, helping colleagues resolve issues quickly and efficiently while maintaining a strong focus on security and best practice
- You’ll be joining a multidisciplinary team with strong technical skills and a very supportive culture
- We work closely together and regularly share knowledge, and your skills will make a direct impact on our business
- It’s an exciting and pivotal moment for us right now, with plenty of new projects ahead
- Logging and solving support requests face-to-face & via ticketing system
- Managing and supporting Linux-based systems, Layer 1 &2 Support
- Security patching, including risk assessment for Linux environments
- Work with engineering teams to manage hybrid cloud and on-prem servers
- Maintain Infrastructure-as-Code specifications to deploy and automate changes
- Managing core infrastructure services such as DNS, DHCP, VPN, LDAP
- Maintenance and support of the virtualisation platform
- Documenting solutions and maintaining a clear, up-to-date internal knowledge base
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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