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
- 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.
