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.

The Role

PhysicsX is developing a platform used by Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. The core of this platform relies on handling massive volumes of complex simulation data, enabling high-fidelity multi-physics simulation through AI inference.

We are looking for a Software Engineer with a strong background in building data platforms to join our team. You will not just be moving data from A to B; you will be architecting and building the distributed systems, services, and APIs that form the backbone of our data strategy. You will bridge the gap between complex physical simulations and modern data infrastructure, implementing storage solutions for AI/ML pipelines and creating the analytical layers that allow our engineers to visualise and understand their results.

You will also play a key role in shaping technical direction — contributing to Technical Decision Records, collaborating with experienced engineers, and helping to drive the standards that keep our platform reliable, secure, and performant. This is a role for a builder who loves coding robust software as much as they love designing efficient data architectures.

What you will do

• Contribute to the design and build scalable microservices, APIs, and data pipelines for high-dimensional simulation data across the ML lifecycle, working within established architectural patterns.

What you bring to the table

Ideally

• Programming skills: strong Python expertise and experience with at least one compiled language (Golang, C++, or Rust).
• Data systems experience: practical experience building and maintaining data processing systems, working with diverse data types and running analytics on large datasets.
• Kubernetes and infrastructure: familiarity with Kubernetes concepts and infrastructure configuration tools (e.g., Helm, ArgoCD).
• Testing and debugging: solid debugging and troubleshooting skills, with exposure to automated testing practices.
• Bonus: understanding of 3D geometry processing, physics simulation data structures, or building software for different deployment environments (cloud, on-premises).

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.