HPC Infrastructure Engineer

England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Deeptech, AI, Simulation Software, Engineering, ManufacturingIndustries

Requirements

Candidates should possess expertise in Linux administration, knowledge with on-prem HPC systems running Linux, proficiency in MacOS and Windows, including virtualization and scripting, and good networking skills encompassing Infiniband, vLANs, VPNs, and WiFi. Experience shaping and following IT processes with a focus on documentation, alongside practical knowledge of Azure, Entra ID, InTune, Exchange Online, and Office 365, is also required.

Responsibilities

As a HPC Infrastructure Engineer, you will enhance our CPU, GPU, HPC, and cloud infrastructure by implementing upgrades, patching, and system enhancements, providing expertise with technologies such as Linux, CUDA, SLURM, and Python. You will innovate to maintain the highest standards for our technology stack, drive IT solutions aligned with business objectives, research and evaluate new technology solutions, collaborate with data scientists, machine learning engineers, and simulation engineers to accelerate workflows, continuously learn and apply best practices, and contribute to our IT strategy and roadmap implementation.

Skills

Linux Administration

HPC Systems

MacOS

Windows

Virtualization

Scripting

Networking

Infiniband

vLANs

VPNs

WiFi

IT Processes

Documentation

Azure

Entra ID

InTune

Exchange Online

Office 365

Project Delivery

Problem-Solving

CPU Infrastructure

GPU Infrastructure

Cloud Infrastructure

System Upgrades

Patching

CUDA

SLURM

Python

PhysicsX

AI-driven simulation for advanced industries

About PhysicsX

PhysicsX enhances the design and operation of machines in advanced industries using artificial intelligence and simulation technologies, focusing on sectors like renewable energy, healthcare, and transportation. Their AI-driven simulations help clients, including medical device manufacturers and aerospace companies, improve efficiency and reduce emissions. The company operates on a project-based and long-term contract model, providing specialized services that lead to significant performance improvements. With a leadership team experienced in machine learning and engineering, PhysicsX aims to achieve engineering breakthroughs that positively impact society.

London, United KingdomHeadquarters

N/AYear Founded

$31.1MTotal Funding

SERIES_ACompany Stage

Energy, AI & Machine Learning, Aerospace, HealthcareIndustries

11-50Employees

Benefits

Company Equity

Paid Vacation

Parental Leave

Flexible Work Hours

Remote Work Options

Risks

UK's AI startup surge may dilute PhysicsX's market share.

Dependence on AWS poses data security and service reliability risks.

Rapid AI advancements require continuous innovation to avoid obsolescence.

Differentiation

PhysicsX uses AI to revolutionize machine design in climate and health sectors.

Their LGM-Aero model reduces aerospace concept development time from months to hours.

PhysicsX's Ai.rplane app offers public access to advanced aerodynamics tools.

Upsides

Collaboration with Siemens enhances PhysicsX's capabilities in AI-based aerodynamics simulations.

$32 million Series A funding boosts growth and research expansion for PhysicsX.

UK's AI market growth offers expansion opportunities for PhysicsX.

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