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Pioneering Deep Tech Physics AI Start-Up | Physics AI Engineer | Remote (UK) | Competitive Salary + Equity
About the Company
Our partner, an early-stage, VC-backed deep tech company, is pioneering a full-stack Physics AI platform for advanced engineering. They are revolutionising product development by seamlessly integrating computational physics, scientific machine learning, GPU-native simulation, and high-performance computing. Their mission is to empower engineering teams to design and innovate faster, pushing the boundaries of what's possible in complex simulations. This is a unique opportunity to join a foundational team defining the future at the intersection of simulation, AI, and HPC.
About the Role
They are seeking a highly skilled and passionate Physics AI Engineer to contribute to the core technical foundations of their ground-breaking platform. This role is ideal for a hands-on engineer with a strong background in computational physics and an eagerness to apply cutting-edge AI and HPC techniques. You will be instrumental in developing robust, production-quality scientific software, working across the entire technical stack from computational geometry to GPU-native solvers. This is a chance to make a significant impact in a fast-paced, innovative start-up environment.
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Responsibilities
- Contribute to the development of GPU-native solvers and advanced numerical methods.
- Implement and optimise algorithms for scientific machine learning applications, including neural operators.
- Design and develop production-quality scientific software across the full technical stack.
- Work with high-performance computing (HPC) systems, optimising code for speed and scalability.
- Collaborate on the validation of simulation results against experimental or industrial datasets.
- Help define and build core components of a novel Physics AI platform.
- Engage in ongoing research to integrate the latest advancements in AI and simulation.
Requirements
- Strong background in computational physics, e.g., CFD, CHT, FEA, or multiphysics simulation.
- Proven experience in solver development and numerical methods.
- Expertise in GPU computing, utilising technologies like CUDA, JAX, or PyTorch.
- Practical experience with scientific machine learning (e.g., neural operators, physics-informed ML).
- Demonstrated ability in HPC system utilisation and performance optimisation.
- Track record of developing production-quality scientific software.
- Proficiency in validating models against real-world experimental or industrial data.
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Compensation and benefits
- Competitive salary.
- Significant equity stake in an early-stage, VC-backed deep tech company.
- Fully remote working within the UK, offering excellent flexibility.
- Opportunity to shape the technical direction of a pioneering Physics AI platform.
- Exposure to cutting-edge research and development in simulation, AI, and HPC.
- Direct impact on products that will accelerate engineering innovation.
- Collaborative environment with a highly skilled and passionate team.
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Jessica, London
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