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PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimization opportunities in design and engineering.
Born out of numerical physics and proven in Formula One, we help our customers radically improve their concepts and designs, transform their engineering processes and drive operational product performance. We do this in some of the most advanced and important industries of our time – including Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables. Our work creates positive impact for society, be it by improving the design of artificial hearts, reducing CO2 emissions from aircraft and road vehicles, andincreasing the performance of wind turbines.
The Role
As our product offering continues to expand and increases in adoption, seamless customer onboarding, as well as the collection and integration of feedback, will be critical to ensure its ongoing success. As a member of our delivery teams, you’ll be responsible for facilitating our customers’ adoption of our Platform and libraries. You’ll deploy your expertise across multiple customer projects, working closely with their engineerings and IT professionals to ensure compliance with their security requirements and develop solutions to integrate with their existing CAE, PLM and/or control systems. Further, where there is the need to introduce new Platform features, or create bespoke applications backed by our Platform and libraries, you will design, develop and deploy these, working closely with delivery colleagues and the customer to rapidly deliver impact.
\nWhat you will doWe 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.
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