Senior IT Engineer

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimisation opportunities in design and engineering.
Born out of numerical physics and proven in Formula One, we help our customers radically improve their concepts and designs, transform their engineering processes and drive operational product performance. We do this in some of the most advanced and important industries of our time - including Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables. Our work creates positive impact for society, be it by improving the design of artificial hearts, reducing CO2 emissions from aircraft and road vehicles, and increasing the performance of wind turbines.
The role
We are seeking an IT Engineer to join our small IT team. As akey member of the IT team, you will besupporting our growing businessby contributing to the IT strategy and implementing high-endtechnical solutions. This role requiresputting your practical skills into use by maintaining and optimising our IT infrastructure.Having strong skills introubleshooting technical issues andan aptitude for implementing new technologies.
What you will do:
Take an active role in determining IT solutions to support the business.
Support the IT team in delivering our IT strategy and roadmap.
Provide innovative solutions to maintain the highest standard for our technology stack.
Provide active contributions to improve our high-end CPU and GPU HPC & cloud infrastructure including specification and configuration, installation, job scheduling, user access management, centralised data storage and back-up, as well as high-speed interconnectivity.
Research and evaluate monitoring, backup, recovery and other solutions.
Implement upgrades, patching etc.
Help support and develop our SaaS platform, including integration into our existing IT landscape.
Work closely with our team of data scientists, machine learning engineers and simulations engineers to support and accelerate both latest machine and deep learning workflows.
Continuously learn and apply best practices and standards and support our colleagues in their adoption.
What the ideal candidate looks like:
Enthusiasm for and experience with supporting the IT strategy of a fast-moving and fast-growing tech start-up.
In-depth knowledge of Linux, MacOS and Windows incl. virtual machines and scripting
Strong networking knowledge (vLAN's, VPN's,WiFi etc.),
Experience in shaping and followingIT processes and procedures while writing clear documentation for the team.
Practical experience using Azure, Entra ID, InTune, Exchange Online, Office 365.
Strong experience in Linux and Juniperto administrator level.
Knowledge of installing/configuring licensed products via LMTools on a Linux environment.
Enthusiasm about IT environments used for advanced machine learning and engineering workflows; Professional experience related to infrastructure and deployment engineering, incl. exposure to some of the following:
Familiarity with state-of-the-art computer environments, storage resource orchestration, network topology, support and hands-on implementation.
Experience in setting up and managing HPC systems used for compute intensive numerical simulation and/or
machine learning systems.
Preferably have experience with cloud platforms (e.g., AWS, Azure, GCP).
Aware of technologies such as SASE, SD-WAN, Meraki.
Ability to scope and effectively deliver projects; Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly.
What we offer:
Meaningful equity in the company
10% employer pension contribution
Private Healthcare
Free lunch daily
A learning budget including time off to study
Cycle to Work and Season Ticket Loan scheme
We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.