Founding Engineer

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. 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. 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.