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 software 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).
Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.
The Role
Join our dynamic product team in our fast growing startup, building a platform for Data Scientists and Simulation Engineers to deploy Deep Physics Models. You will be one of a small team of Front-end Engineers, collaborating in a cross-functional team with autonomy to drive implementation decisions. Bring your expertise in building front-end systems, plus familiarity with micro-frontend architectures and Kubernetes. A passion for software engineering, collaboration, and end-to-end ownership is key.
Our stance
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.