Location: London (Hybrid)

About Us

We are a pioneering startup driven to reshape the frontiers of physics simulation using foundational AI models.  Our core aim is to transform engineering design, empowering engineers with unprecedented optimization capabilities driven by AI that rivals the accuracy of traditional simulation methods. Driven by a deep belief that AI will transform how products are engineered across automotive, aerospace, energy, and beyond, we're at the forefront of this exciting revolution. Interest in this space is exploding; join us early and help build a solution that will redefine an entire industry.

We are a values-driven startup embracing fearless innovation, intelligent curiosity, collaboration, a customer-centric approach, whilst creating impact with integrity. These core values shape our culture and are fundamental to our hiring decisions. If you thrive in an environment that pushes boundaries, values learning and teamwork, and seeks to deliver transformative solutions we might be the perfect fit.

The Role

You'll be responsible for leading the design, development, and scaling of the core software components powering our design optimization solution. This is a hands-on role where you'll  transform our MVP components 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.

Responsibilities

• 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, Azure, GCP) to achieve system scalability, ensuring high availability, fault tolerance, and data security. Implement best practices for cloud infrastructure management and cost optimization.
• 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.

Essential Requirements

• 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, Azure, GCP) and containerization (Kubernetes, Docker).
• Leadership & Communication: Ability to lead technical discussions, articulate design decisions effectively, and collaborate with cross-functional teams.

Highly Desirable