Senior Simulation Engineer, Research

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.
As a Simulation Engineer in the Research team, you are passionate about building the foundations for and contributing to the development of the next generation of AI models for physics and engineering.You are someone who can grasp and apply advanced engineering concepts across multiple industries and domains, including CFD, FEA and electromagnetic simulations. You are proficient in the key tools of your trade, such as Star-CCM+, ABAQUS or OpenFOAM. You are adept at using these tools to create efficient, scalable workflows that generate high-fidelity data and drive impactful results. You are comfortable in setting up automated simulation pipelines. Coding skills in Python, or the ability to quickly learn programming languages, is an advantage.
With at least 3 years of relevant experience (post Bachelor’s, Master’s, or PhD), you’re ready to hit the ground running. You are comfortable setting up CAE simulations independently, interpreting results with depth, and making informed decisions based on solid engineering judgment.
Please note, this role is based in London, working 2-3 days per week in our central office.
What You Will Do In this role, you’ll work closely with our ML/AI researchers, scientists, and other partners to build the data and workflow foundations for training the next generation of Foundation Models for engineering (see example here for a primer):
- Independently build complex multi-physics models from the ground up to simulate and understand complex real-world phenomena, including using experimental data to validate simulations and ensure accuracy.- Build the data factory to generate some of the largest and most valuable sets of high-fidelity simulation data to train engineering foundation models, leveraging our cloud platform, on-premise HPC and partner infrastructure.- Determine relevant range of physics regimes and associated simulation capabilities for covering the space of desirable commercial use-cases.-Identify and source high-value 3rd party data sets. Work with our partners — from hyper-scalers to established engineering leaders — to expand our data foundations and the state-of-the-art in simulation engineering for AI.- Work at the intersection of CAE and data science, generating accurate simulation results and predictions to train advanced Machine Learning and Deep Learning models.- Continuously improve engineering practices, adapting CAE model setups and outputs to support the development of Deep Learning surrogates.- Mentor junior engineers as part of a collaborative team. Build the simulation engineering team within the Research org from the ground up.- Represent Simulation Engineering for Research at relevant conferences and events.

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.

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.