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.
Who We’re Looking For
As a Senior CFD engineer in Delivery, you are a problem solver and a builder who is passionate about creating practical solutions that enable customers to make better engineering decisions. You are someone who can grasp and apply advanced engineering concepts across multiple industries, and you excel at working directly with customers (and often side-by-side with them on-site) to build CFD models that are integrated into AI-tools that are both useful and used.
You bring strong expertise in fluid mechanics, heat transfer, and multiphase modelling, with a solid ability to apply fundamental knowledge to real-world phenomena. Highly proficient in at least one of Star-CCM+, OpenFOAM, or Fluent, you’re adept at using these tools to create efficient, scalable workflows that drive impactful results. Coding skills in Python and/or Java, or the ability to quickly learn programming languages, is an advantage.
With at least 3-5 years of industry experience (post Bachelors, Masters or PhD) in a commercial, non-research environment, you’re ready to hit the ground running. You’re comfortable setting up CFD simulations independently, interpreting results with depth, and making informed decisions based on solid engineering judgement.
As a Senior CFD engineer, you won’t just create models, you’ll build what truly matters.
This Role
In this role, you’ll work closely with our Data Scientists, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving. You’ll play a crucial role in delivering high-fidelity simulations by:
- Independently building 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
- Automating simulation pipelines, enabling fast optimization and parametric CAD coupling for efficient results
- Leveraging our cloud platform and on-premise HPC to accelerate high-fidelity models beyond smart model setup and meshing choices
As the role evolves, there are exciting opportunities for growth as an individual contributor or a technical lead, especially if you’re driven to take ownership of more complex projects and lead the direction of future solutions.
Please note, this role is based in London, working 2-3 days per week in our central office.
Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey! https://www.physicsx.ai/newsroom/how-delivery-makes-physical-ai-work-in-the-real-world
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.
