About us

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.

We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.

Introduction

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.

We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.

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

• Equity options – share in our success and growth.


• 10% employer pension contribution – invest in your future.


• Free office lunches – great food to fuel your workdays.


• Flexible working – balance your work and life in a way that works for you.


• Hybrid setup – enjoy our new Shoreditch office while keeping remote flexibility.


• Enhanced parental leave – support for life’s biggest milestones.


• Private healthcare – comprehensive coverage


• Personal development – access learning and training to help you grow.


• Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.

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.

We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.