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.
We are a rapidly growing and profitable 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 simulation 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.
Position Overview
We are seeking a skilled Electromagnetic Simulation Expert with a strong focus on high-frequency electromagnets applications such as radio antenna design, induction heating processes, wireless charging systems. The ideal candidate will possess a deep understanding of electromagnetics, particularly Maxwell's equations, and the underlying physical mechanisms. Working with us offers a unique opportunity to help shape how AI is transforming the simulation landscape and be at the front of a changing industry.
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.