Location
London, United Kingdom and Singapore
London, United Kingdom and Singapore
Salary
(Yearly)
(Yearly)
(Yearly)
(Yearly)
(Hourly)
Undisclosed
Date posted
September 9, 2026
Job type
OTHER
Experience level
Summary this job with AI
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Job Description

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.

Don't see the right role today? We'd still love to hear from you.

PhysicsX is growing quickly, and new roles open up regularly across Research, Data Science, Machine Learning Engineering, Product, and Delivery. If nothing currently posted feels like the right fit, but you're excited about what we're building - physics AI that solves the world's most complex engineering challenges - this is a great place to start.

By applying here, you're letting us know you're interested in PhysicsX, so we can reach out directly when a relevant opportunity opens up.

What happens next:

We'll review your application and keep you in mind for any positions that match your background and interests as they arise, and reach out if a suitable opportunity comes up. This isn't an active vacancy, so please note there may not be an immediate opportunity to progress, but we genuinely do use this pool when hiring.

 
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. 
 
Apply now
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