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PhysicsX

Backend Software Engineer

London, UK Remote Hybrid
Machine Learning Python Go Kafka Kubernetes
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Description
Introduction 
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 optimization 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.   
  
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 data scientist 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).

The Role
We are looking for passionate software engineers to join us in building the cutting-edge platform that empowers Data Scientists, Machine Learning Engineers and Simulation Engineers to create, train, and deploy physics-informed models at PhysicsX. You'll take ownership of your work from implementation to production, ensuring quality, scalability, and observability at every step. By engaging with our Guilds and leveraging domain knowledge from end users, you’ll not only refine your craft but also help shape the future of our software engineering practices.

What you will do

  • Take part in building a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models.
  • Work on a focused, stream-aligned and cross-functional team (back-end, front-end, design) that is empowered to make its implementation decisions towards meeting its objectives.
  • Gather and leverage domain knowledge and experience from the Data Scientists and Simulation Engineers using your product.

What you will bring to the table

  • A passion for the evolving craft of software engineering.
  • The ability to work collaboratively and effectively in cross-functional teams.
  • Proficiency in both Python and Go.
  • A willingness to take ownership from implementation to production, including testing, containerisation, continuous integration and delivery, authentication / authorisation, telemetry / observability / monitoring
  • A working understanding of messaging in event-driven systems, which implies some experience using tools such as NATS, RabbitMQ, or Kafka for example.
  • Some experience, professional or otherwise, developing applications for Kubernetes. CKAD is a plus, but by no means a requirement.

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, at our lovely London Shoreditch office, 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    
PhysicsX
PhysicsX
Artificial Intelligence (AI) Machine Learning Simulation Software

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