IntroductionPhysicsX 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 do not provide visa sponsorship in the US. Please only apply if you have the right to work in the US.
What you will do
Work closely with our simulation engineers, machine learning engineers and customers to develop an understanding of the physics and engineering challenges we are solving
Build innovative models to predict the behaviour of physical systems leveraging state-of-the-art machine learning and deep learning techniques
Own the delivery of data science workstreams
Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable
Discuss the results and implications of your work with your colleagues and our customers
Contribute to our internal R&D and product work
What you bring to the table
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
Degree in computer science, machine learning, applied statistics, mathematics, physics, engineering or a related field
Helped build machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, TensorFlow, PyTorch, Airflow), especially including deep-learning applications
Software engineering concepts and best practices for collaborative programming (e.g., versioning, testing, deployment)
Working in a cloud environment with one of the major cloud providers
(Appreciated, but not a prerequisite) Simulations for FEA/CFD
What we offer
Equity options – share in our success and growth.
5% 401(k) match – invest in your future.
Flexible working – balance your work and life in a way that works for you.
Enhanced parental leave – support for life’s biggest milestones.
Private healthcare – comprehensive coverage for you and your family.
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.
Our stanceWe believe diversity fuels innovation, and we're building a culture where everyone belongs. We're proud to be an equal opportunity employer, welcoming talent of all backgrounds, identities, and experiences. Changing the face of tech takes action, which is why we actively encourage individuals from historically underrepresented groups to apply.
