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<div class="content-intro"><h2>About us</h2>

<div><strong>Re-architecting Engineering for the Age of Intelligence<br></strong><br>PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.</div></div><p><strong>Don't see the right role today? We'd still love to hear from you, if you're interested in joining our London, US or Singapore offices. </strong></p>

<p>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.</p>

<p>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.</p>

<p><strong>What happens next:<br><br></strong>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.</p><div class="content-conclusion"><div> </div>

<div>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. </div>

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<div>We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. </div>

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