Founding Engineer at Trust In SODA

• Job Location San Francisco, CA
• Seniority Not Applicable
• Type Full-time

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Description

We are currently seeking an experienced Founding Engineer to join an AI start-up client of ours on a permanent basis.

This is with a silicon valley based startup that is pioneering in it’s field, building foundation models for Physics which would enable industrial automation across automotive, manufacturing and defence, transforming the sectors.

The role requires candidates to be based within a commutable distance to San Francisco, as the client has a 5 days office policy.

Key Responsibilities: Build customer-facing applications that make complex physics simulations intuitive and accessible, creating dashboards, visualization tools, and interfaces for foundation model interactions Design and implement robust backend APIs that power our product features, handle simulation workflows, and integrate with the client’s ML infrastructure and customer systems Own the full product development cycle from concept to production, shipping features that solve real customer problems and working directly with users to iterate based on feedback Create data visualization and analytics tools that help engineers understand simulation results, model performance, and physics insights in real-time Build fine-tuning and customization interfaces that let customers adapt the client’s foundation models through intuitive UIs without needing to write code or understand ML internals Develop integration tools and SDKs that make it easy for customers to embed the physics AI into their existing CAE workflows, design tools, and simulation pipelines Desirable Requirements: Strong background in Physics would be a plus but not required for this role Experience with working in a start-up is important for this role – proven experience with building from 0 -> 1 Expertise within the AI sector would be a plus – candidates should have an understanding of AI and LLMs Experience with full-stack development is important (current stack is Python, React/Typescript) so candidates should have experience building applications from Python in scratch The role offers long-term earning potential with a strong compensation package, including a strong equity component.