
PhysicsX is a deeptech 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. We are currently recruiting for multiple positions, however, please only apply for the role that best aligns with your skillset and career goals.

PhysicsX is a deeptech 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. We are currently recruiting for multiple positions, however, please only apply for the role that best aligns with your skillset and career goals.
Headquarters: London, UK
Product: AI-native multiphysics simulation and engineering platform
Founding year: 2020
Notable funding: Series A $32M (Nov 2023); Series B $135M (Jun 2025)
Customer industries: Aerospace & Defense, Automotive, Semiconductors, Materials, Energy
| Company |
|---|
Engineering simulation and automation for advanced industries (multiphysics simulation, design optimization, manufacturing and operations).
2020
Software Development
$32M
$135M
“Includes strategic participation from Temasek, Siemens, Applied Materials; early lead investor General Catalyst”
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.
Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.
What You Will Do
What You Bring To The Table
What We Offer
Salary Range $120,000 - 240,000 depending on experience
Seniority will be assessed throughout our interview process
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.
Enthusiasm about using machine learning, especially deep learning and/or probabilistic methods, for science and engineering.
Ability to scope and effectively deliver projects.
Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly.
Excellent collaboration and communication skills — with teams and customers alike.
PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following:
operator learning (neural operators), or other probabilistic methods for PDEs;
geometric deep learning or other 3D computer vision methods for point-cloud or mesh-structured data;
generative models for geometry and spatiotemporal data (VAEs, Diffusion Models, Bayesian non-parametric, scaling to large datasets, etc.).
Ideally, >2 years of experience in a data-driven role, with exposure to:
building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications;
developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical);
iterating on network architectures and model structure, tuning and optimising for inductive biases, improved generalisability, and improved performance;
combining theoretical reasoning with empirical intuition to guide investigation;
formulating and running experiment pipelines to benchmark models and produce comparable results;
writing skills for communication complex technical concepts to peers and non-peers, tailoring the message for the required audience.
Publication record in reputable venues that demonstrates mastery in your field, and in particular the domains of interest listed above. Desirable venues include (but not limited to): NeurIPS, ICML, ICLR, UAI, AISTATS, AAAI, Siggraph, CVPR or TPAMI/JMLR.