Company: BeyondMath
Location: London
Posted: March 27th, 2026
BeyondMath is a pioneering startup, backed by top-tier VCs, on a mission to reshape the frontiers of engineering through Foundational AI models for Physics. We are replacing traditional, slow and expensive simulation methods with AI that rivals accuracy at orders of magnitude higher speed.
We are moving beyond the "generic AI" hype to solve the world’s hardest physical engineering challenges in automotive, aerospace, and energy.
You’ll be responsible for contributing to the design, development, and scaling of the core software components powering our Generative Physics platform. This is a hands‑on role where you’ll drive the development of our product into a robust, scalable platform, integrating cutting‑edge machine learning models, simulation tools, and a seamless user interface. Success in this role translates to delivering a tangible foundation that allows our development partners to experience the full potential of our AI‑driven design approach.
System Architecture Design: Architect and implement a scalable, cloud‑native software platform capable of handling the complexities of large‑scale engineering data, AI‑driven simulations, and seamless user interactions. Prioritise maintainability, testability, and extensibility in design choices.
Data Pipeline Engineering: Design and build robust, high‑throughput data pipelines to manage large volumes of engineering data. Ensure efficient data ingestion, transformation, storage, and retrieval from both internal simulations and external partner tools.
Cloud‑Based Scalability, Reliability, and Security: Leverage cloud technologies (AWS) to achieve system scalability, ensuring high availability, fault tolerance, and data security. Implement best practices for cloud infrastructure management and cost optimisation.
Simulation Tool Integration: Develop APIs and interfaces to seamlessly integrate with a variety of engineering simulation tools and pipelines, both internally developed and from external partners.
AI‑Powered Design Tool Innovation: Collaborate with ML engineers and development partners to design and build the next generation of AI‑powered engineering design tools.
Technical Leadership and Mentorship: Provide technical guidance and mentorship to other software and ML engineers. Foster a culture of continuous learning and best practices within the engineering team.
Education: Bachelor’s degree (Master’s preferred) in Computer Science, Software Engineering, or a related field.
Development Expertise: 5+ years of proven experience with full‑stack software development, including front‑end and back‑end technologies.
Strong Python proficiency is essential.
Cloud Technologies: Experience working with cloud platforms (AWS) and containerisation (Kubernetes, Docker).
Leadership & Communication: Ability to lead technical discussions, articulate design decisions effectively, and collaborate with cross‑functional teams.
Scientific Computing: Familiarity with scientific libraries like PyTorch, NumPy, SciPy, and visualisation tools (Matplotlib, Plotly, etc.).
CFD Understanding: Any knowledge of aerodynamic design principles or experience with CFD software is a significant plus.
Full Ownership: You will have a direct seat at the table in shaping the future of a company redefining an entire industry.
High Impact: Your work will directly accelerate the transition to sustainable energy and more efficient transport.
Elite Team: Work alongside veterans from world‑leading AI labs and engineering firms in a culture of "impact with integrity."