10 jobs in BeyondMath

Simulation Engineer

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. We are looking for a Simulation Engineer who views CFD not just as a validation tool, but as the high-fidelity engine that powers the next generation of generative physics.

As a Simulation Engineer, you are the guardian of the ground truth. This is not a "black box" simulation role; you will architect the end-to-end data pipelines that feed our AI models. You will be responsible for generating the high-fidelity, transient CFD datasets that allow our models to learn the fundamental laws of fluid dynamics.

You will work at the intersection of classical physics and cutting-edge AI, collaborating with global OEMs, Formula 1 teams, and aerospace innovators to ensure our training data is robust, repeatable, and production-ready.

• Architect CFD-to-ML Pipelines: Design and execute end-to-end simulation workflows—from CAD cleanup and surface triangulation to volume meshing and solver execution—specifically optimized for AI training at scale.

• High-Fidelity Data Generation: Develop and validate transient CFD datasets (RANS/URANS/HRLES) that serve as the "gold standard" for our foundational models, ensuring they reflect real-world physical complexity.

• Physics-ML Integration: Collaborate deeply with AI researchers to translate fluid dynamics principles into model constraints and validation criteria. You will ensure our AI doesn't just "look" right, but is physically accurate.

• Drive Simulation Automation: Transition beyond manual setups by building automated, scalable meshing and solver infrastructures that reduce turnaround time without sacrificing scientific rigor.

• Customer-Centric Engineering: Work directly with technical partners in F1 and Aerospace to align simulation parameters with industrial-scale design challenges.

• Quality & Reproducibility: Establish the company-wide standards for mesh quality, solver settings, and simulation fidelity to ensure every byte of data we generate is of world-class quality.

• You have a "founder’s mentality"; you are a builder who is comfortable being the first to tackle a problem and the one to build the system that solves it.

• You are passionate about fluid dynamics but frustrated by the slow pace of traditional tools, and you are eager to use your expertise to help build a faster, AI-driven future.

• Postgraduate Degree (MSc/PhD) in Aerospace, Aeronautical, Mechanical Engineering, or Mathematics.

• Deep CFD Mastery: Extensive experience with industry-standard solvers and mesh generation (OpenFOAM, ANSYS Fluent, STAR-CCM+, ANSA, or ParaView).

• Fluid Dynamics Expert: Strong theoretical background in incompressible/compressible flow, turbulence modeling (RANS, LES, HRLES, etc), and heat transfer.

• Hands-on Builder: Proven ability to take a project from a raw CAD file to a fully validated, post-processed simulation.

• Communicator: Ability to bridge the gap between classical engineering disciplines and modern machine learning teams.

• Sci-ML Curiosity: Prior experience or a strong interest in CFD-ML, Scientific Machine Learning, or surrogate modeling.

• Scripting & Automation: Proficiency in Python or C++ to automate simulation workflows and data extraction.

• HPC Experience: Experience running large-scale simulations on high-performance compute clusters or cloud infrastructure.

• Full Ownership: You will own the data strategy that defines the accuracy of our foundational models.

• High Impact: Your simulations will directly train the AI that will design the next generation of sustainable transport and energy systems.

• Elite Team: Work alongside veterans from world-leading AI labs and top-tier engineering teams in a culture of "impact with integrity."

Senior Software Engineer

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."

BeyondMath seeks a Technical Account Director in Greater London to lead customer success and technical partnerships using advanced AI technology for physics. In this hands-on role, you will manage key enterprise accounts, ensuring measurable success across various sectors including automotive and aerospace.

The ideal candidate brings over 5 years in technical account management or solutions engineering and experiences with simulation and AI. Excellent communication and project management skills are essential for fostering key relationships with engineering leaders.

BeyondMath, located in Greater London, seeks a Machine Learning Engineer to advance their Generative Physics simulation platform. You will design and train AI models for physics simulation, optimizing performance while integrating into engineering workflows.

The ideal candidate has a Master’s (PhD preferred) in a relevant field and strong experience with ML applications in physical systems. Join an elite team driving impactful technology in sustainable energy and efficient transport.

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. We are looking for a Senior AI Researcher who balances scientific curiosity with the engineering discipline required to see models thrive in production environments.

As a Senior AI Researcher, you will be a core architect of our technical roadmap. This is not a "siloed" research role; you will lead the transition from theoretical breakthroughs in Physics-based Deep Learning to robust, scalable systems used by world-class engineers.

You will have the creative freedom to set research agendas while ensuring our models remain grounded in physical reality and industrial-scale performance.

• Architect Physics-AI Foundations: Lead the research and development of novel ML architectures (e.g., Transformers, GNNs, or Diffusion models) designed specifically to solve complex partial differential equations (PDEs) including aerodynamic simulations.
• Bridge Research & Production: Translate high-level mathematical concepts into clean, high-performance code. You won’t just "throw models over the wall"; you will ensure they are optimized for inference and integrated into our production design platform.
• Advance Geometry Representation: Pioneer new ways to represent complex geometric design variations for efficient use in deep learning models.
• Strategic Leadership: Mentor junior researchers and engineers. Help define our internal research standards, reproducibility pipelines, and high-performance compute (HPC) infrastructure requirements.
• External Impact: Represent BeyondMath in the global AI community. Publish influential research at top-tier conferences (NeurIPS, ICML, ICLR) and position the company as the leader in "AI for Physics."
• Cross-Functional Collaboration: Partner with CFD specialists and software engineers to ensure our models respect physical constraints while maintaining thespeed advantages of neural networks.

You are a rare hybrid: a scientist who loves the elegance of a theorem, but an engineer who gets a thrill from seeing a model successfully optimize a real-world turbine or airframe. You thrive in the ambiguity of a "greenfield" opportunity and have the grit to solve problems where no textbook solution exists.

• PhD or MSc in Computer Science, Physics, Mathematics, or a related quantitative field.
• 5+ years of post-grad experience in AI/ML research, with a demonstrable track record of models made it from the lab into production environments.
• Deep Technical Mastery: Expert-level proficiency in PyTorch, JAX, or TensorFlow, with a focus on building custom layers, loss functions, and optimization loops.
• Published Excellence: A strong record of high-quality publications in top-tier venues (e.g., NeurIPS, ICML, CVPR, or physics-specific AI journals).
• Systems Thinking: Experience with scalable training infrastructure, including distributed training across GPU clusters and data pipeline automation.

• Physics-ML Expertise: Experience with Physics-Informed Neural Networks (PINNs), Operator Learning (DeepONet/FNO), or Equivariant Neural Networks.
• Domain Knowledge: Familiarity with Aerodynamics, Fluid Dynamics, or Structural Mechanics.
• Engineering Rigor: Familiarity with C++, CUDA for low-level model optimization.

• 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."

Senior AI Researcher

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. We are looking for a Senior AI Researcher who balances scientific curiosity with the engineering discipline required to see models thrive in production environments.

As a Senior AI Researcher, you will be a core architect of our technical roadmap. This is not a \"siloed\" research role; you will lead the transition from theoretical breakthroughs in Physics based Deep Learning to robust, scalable systems used by world-class engineers.

You will have the creative freedom to set research agendas while ensuring our models remain grounded in physical reality and industrial-scale performance.

• Architect Physics-AI Foundations: Lead the research and development of novel ML architectures (e.g., Transformers, GNNs, or Diffusion models) designed specifically to solve complex partial differential equations (PDEs) including aerodynamic simulations.

• Bridge Research & Production: Translate high-level mathematical concepts into clean, high-performance code. You won\'t just \"throw models over the wall\"; you will ensure they are optimized for inference and integrated into our production design platform.

• Advance Geometry Representation: Pioneer new ways to represent complex geometric design variations for efficient use in deep learning models.

• Strategic Leadership: Mentor junior researchers and engineers. Help define our internal research standards, reproducibility pipelines, and high-performance compute (HPC) infrastructure requirements.

• External Impact: Represent BeyondMath in the global AI community. Publish influential research at top-tier conferences (NeurIPS, ICML, ICLR) and position the company as the leader in \"AI for Physics.\"

• Cross-Functional Collaboration: Partner with CFD specialists and software engineers to ensure our models respect physical constraints while maintaining thespeed advantages of neural networks.

You are a rare hybrid: a scientist who loves the elegance of a theorem, but an engineer who gets a thrill from seeing a model successfully optimize a real-world turbine or airframe. You thrive in the ambiguity of a \"greenfield\" opportunity and have the grit to solve problems where no textbook solution exists.

• PhD or MSc in Computer Science, Physics, Mathematics, or a related quantitative field.

• 5\+ years of post-grad experience in AI/ML research, with a demonstrable track record of models made it from the lab into production environments.

• Deep Technical Mastery: Expert-level proficiency in PyTorch, JAX, or TensorFlow, with a focus on building custom layers, loss functions, and optimization loops.

• Published Excellence: A strong record of high-quality publications in top-tier venues (e.g., NeurIPS, ICML, CVPR, or physics-specific AI journals).

• Systems Thinking: Experience with scalable training infrastructure, including distributed training across GPU clusters and data pipeline automation.

• Physics-ML Expertise: Experience with Physics-Informed Neural Networks (PINNs), Operator Learning (DeepONet/FNO), or Equivariant Neural Networks.

• Domain Knowledge: Familiarity with Aerodynamics, Fluid Dynamics, or Structural Mechanics.

• Engineering Rigor: Familiarity with C++, CUDA for low-level model optimization.

• 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.\"