HPC Engineer

PhysicsX Ltd
London
2 months ago
Applications closed

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Machine Learning Engineer - Hybrid Remote

Machine Learning Engineer

Machine Learning Performance Engineer, London

Computational Biology & Machine Learning Scientist

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, engineering, and systems control.

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.

We are a rapidly growing company but prefer to fly under the radar to protect our customers’ confidentiality. We are about to take the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic (senior) infrastructure engineer to join our team. If all of this sounds exciting to you, we would love to talk (even if you don't tick all the boxes).

Join our dynamic IT team as an HPC and play a pivotal role in shaping our technological landscape. You'll collaborate closely with cross-functional teams, supporting our IT strategy and implementing cutting-edge solutions to drive business growth.


What you will do

  • Enhance our CPU, GPU, HPC and cloud infrastructure.
  • Design and configure new HPC/ML servers.
  • Provide expertise with technologies such as CUDA, SLURM, Python etc.
  • Drive IT solutions that align with our business objectives.
  • Contribute to our IT strategy and roadmap implementation.
  • Innovate to maintain the highest standards for our technology stack.
  • Collaborate with data scientists, machine learning engineers, and simulations engineers to accelerate workflows.
  • Continuously learn and apply best practices, supporting colleagues in their adoption.

What you bring to the table

  • Passion for supporting the IT strategy of a fast-growing tech startup.
  • Highly proficient with HPC systems (on prem and potentially cloud).
  • Proficiency in Linux, MacOS, and Windows, including virtualization and scripting.
  • Good networking skills (Infiniband, vLANs, VPNs, WiFi, etc.).
  • Some knowledge of Azure, Entra ID, InTune, Exchange Online, and Office 365.
  • Knowledge of cloud beneficial but not necessary (e.g., AWS, Azure).
  • Ability to scope and deliver projects effectively.
  • Strong problem-solving skills and the ability to analyse issues and recommend solutions efficiently.

What we offer

  • Be part of something larger: Make an impact and meaningfully shape an early-stage company. Work on some of the most exciting and important topics there are. Do something you can be proud of.
  • Work with a fun group of colleagues that support you, challenge you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields and solve truly challenging problems in science and engineering. If you are similarly capable, caring and driven, you'll find yourself at home here.
  • Experience a truly flat hierarchy. Voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.
  • Work sustainably, striking the right balance between work and personal life.
  • Receive a competitive compensation and equity package, in addition to plenty of perks such as generous vacation and parental leave, complimentary office food, as well as fun outings and events.
  • Work in a flexible setting, with your choice of either our lovely London Shoreditch or Bicester Heritage offices to collaborate in, and a good proportion from home if so desired. Get the opportunity to occasionally visit our customers' engineering sites and experience first-hand how our work is transforming their ways of working.
  • Use first-class equipment for working in-office or remotely, including in-house HPC and GPU stack.


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.

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