IT Infrastructure Engineer, GrAI Matter Labs

Salary not provided

Junior and Mid level

Remote from Netherlands

Artificial intelligence processors for robotics

Job no longer available

Artificial intelligence processors for robotics

21-100 employees

B2BArtificial IntelligenceEnterpriseAnalyticsRoboticsMachine Learning

Job no longer available

Salary not provided

Junior and Mid level

Remote from Netherlands

21-100 employees

B2BArtificial IntelligenceEnterpriseAnalyticsRoboticsMachine Learning

Company mission

To bring the fastest edge AI for sensor analytics and machine learning to every device on the edge.

Job

Company

Role

Who you are

Bachelor or Master’s degree in Computer Science, Electrical Engineering, or related field
Inside-out knowledge of Linux operating systems and their administration (RHEL and Debian derivatives)
Excellent shell-scripting and automation skills. Fluent knowledge of configuration management tools, preferably SaltStack
Experience with running services on bare-metal, containerized (Podman, Docker) and in virtualized (Libvirt, Proxmox) environments
Knowledge of procurement and physical setup of bare-metal servers and network equipment is a plus
Good understanding of networking and managing common network services (routing, VPNs, firewalls, DNS, DHCP)
Experience with Virtual Desktop Infrastructure and centrally-managed work environments (FreeIPA, NFS, managed desktops)
Experience with compute clusters, workflow management and job queues is a plus (e.g. Slurm)
Experience with at least one cloud provider, preferably Azure is a plus
Experience with EDA tools (license servers, environment setup) is a plus
Experience with Office 365, endpoint management, and Microsoft Windows administration is a plus

What the job involves

Participate in creating and executing the IT strategy at all GrAI Matter Labs world-wide sites
Pro-actively administer our on-prem, colocated and cloud infrastructure
Maintain a safe and efficient IT work environment for the company
Participate in desktop and help-desk support efforts as well as providing local support, with an emphasis on minimizing those efforts

Our take

Artificial intelligence presents itself as an invaluable software innovation to bring robotic assistants to life, and the centralised cloud-based workflows of edge AI shows promise to bring robotics closer to this than ever before. However, existing edge AI processors are not sufficiently fast, limiting how they can behave naturally and be powered efficiently.

GrAI Matter Labs develops ultra-low latency and low power processing chips for edge AI, technology that the company claims will enable Life-Ready AI. Life-Ready is defined as AI-driven technology that can behave naturally and interact meaningfully, something that the company can apply to robotics, sensors, and other practical applications due to its processors’ efficiency.

Whilst various companies have already achieved life-ready AI using existing processors and supercomputers, these are too power-inefficient to be applied to cloud-based edge AI. GrAI Matter Labs on the other hand have developed a chip that is efficient and low-power enough to do so, providing its technology to both businesses and educational institutes to speed up the adoption of edge AI.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Nov 2020

$14m

EARLY VC

Apr 2018

$15m

SERIES A

Total funding: $29m

Company HQ

Quinze-Vingts, Paris, France

Leadership

Atul Sinha

(Co-Founder)

Experience as Advisor to Management for Medical Robotics Technologies from 2014 to 2017. Co-founded GrAI Matter Labs as Advisor to Management in 2018.

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