Full Stack Software Engineer

The Role

We are looking for a full-stack software engineer to build the next generation of scientist-centred AI tools for accelerating scientific discovery, our understanding of the universe, and solving climate change. This is a hybrid role with 2 to 3 days in the lab in Princeton, NJ.

You will be the first software engineer at our synthesis and testing facility in Princeton, NJ. From there you’ll work closely with the London, UK computational group to build agentic LLM tools which democratise the usage of Orbital Materials’ SOTA simulation models and work at the fore-front of AI-accelerated scientific research. 

This role will be focused on delivering software which integrates frontier AI research into the workflow of scientists. This will involve designing and implementing front-end tools for novel interaction patterns with generative models, RAG, and scientific visualizations. This role will also design and build the back-end services which deliver agentic scientific workflows at scale, such as the orchestration of GPU-accelerated and traditional HPC workloads for atomistic simulation, and the processing of experimental data. Colocated with the lab team, you will be working alongside the scientists who use these tools for every aspect of the materials discovery and technology development pipeline, and uniquely placed to guide the development of a new, AI-powered methodology for rapidly scaling crucial technologies for the energy transition.

Responsibilities:

• Design and implement full-stack web applications which expose cutting-edge scientific tooling to scientists

• Develop novel front-end interfaces which allow scientists to perform AI-accelerated research

• Develop back-end services which deliver AI-accelerated research, connecting diverse research tools, molecular simulations, physical lab equipment and LLMs

• Develop a suite of applications which provide utility to experimental chemists and integrate with central workflows

Skills & Experience:

• 3+ years of professional experience as a full-stack engineer

• A quantitative graduate degree

• Experience working with machine learning, LLMs, scientific tools/teams is a bonus

• Expert level experience with python and front-end javascript frameworks, react preferred.

Salary & Benefits

• Competitive base salary with AI sector

• Generous equity package

• Healthcare coverage (including medical, dental, and vision)

• 401K retirement benefits

• Flexible and generous paid time off

• Regular team offsites

We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.