Research Systems Administrator - Cambridge, United Kingdom - Darktrace

Darktrace

Verified Company

Cambridge, United Kingdom

3 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

Founded by mathematicians and cyber defense experts in 2013, Darktrace is a global leader in cyber security AI, delivering complete AI-powered solutions in its mission to free the world of cyber disruption.

We protect more than 8,400 customers from the world's most complex threats, including ransomware, cloud, and SaaS attacks.

Headquartered in Cambridge, UK, Darktrace has more than 2,400 employees located globally. Customers include public sector agencies, education institutions, media, organizations supplying critical infrastructure, and businesses of all sizes worldwide.

You will join the dedicated R&D teams in Cambridge that create and improve the products behind the company's rapid growth.

Our teams work on a wide variety of projects and with a diverse tool set.

As the Research System Administrator, you will manage the NVIDIA GPU server environment, as well as maintain and optimize the software environment for our machine learning projects.

This is a hybrid role, and the expectation would be to work at least 4 days a week in the Cambridge office.

As a System Administrator, you will be responsible for setting up, configuring, and maintaining the servers and software stack, ensuring their optimal performance and availability for our hardware engineers and researchers working on AI and HPC projects.

You will be responsible for but not limited to:

Maintaining and optimizing the Linux operating system, file systems, and software stack (Cuda, Pytorch, Python etc.) for machine learning projects,
Set up and configuration of NVIDIA HGX servers, including installing, monitoring and updating software, managing user access, and ensuring optimal performance,
Implementing and maintaining server security, including patch management, vulnerability scanning, and intrusion detection,
Collaborating with network administrators, hardware engineers, and researchers to troubleshoot and resolve server and softwarerelated issues,
Collaborating with data scientists and machine learning engineers to understand their software requirements and provide guidance on best practices,
Demonstrate experience in system administration, preferably with a focus on highperformance computing platforms, GPUbased servers, and machine learning software environments,
Show a lowlevel understanding of server virtualization technologies and containerization,
Prior experience Linux operating systems,

Desired:

Strong knowledge of NVIDIA HGX server architectures and components,
Experience with NVIDIA GPU technologies, such as NVLink, NVSwitch, and Tensor Core GPUs,
Experience with machine learning frameworks and libraries, such as PyTorch and associated system optimization,

Benefits:

23 days holiday + all public holidays. Increasing to 25 days after 2 years of service.
Additional day off for your birthday.
Private medical insurance.
Life insurance.
Pension 4% employer contribution.
Enhanced family leave.
Confidential employee Support.
Cycle to work scheme

LI-Hybrid