About The Position
We are building a new path to fusion energy, aiming for a semiconductor-scale approach where fusion becomes a manufacturable technology. This role involves designing an AI-driven research platform from the ground up. This platform will read papers, connect ideas across disciplines, orchestrate simulations, evaluate hypotheses, and learn from results. The focus is on scientific reasoning, memory, hypothesis generation, and autonomous discovery, moving beyond current token-prediction models. The goal is to accelerate research in fusion energy, scientific discovery, advanced simulation, AI for physics, and quantum technologies.
Requirements
- Experience building real agent systems
- Strong experience across several of: multi-agent architectures, tool use and function calling, agent orchestration, planning systems, long-term memory, knowledge graphs, autonomous research workflows, RAG architectures and evaluation frameworks
- Production-quality software development with strong Python skills
- Comfortable with API design and integration
- Familiarity with cloud infrastructure, Docker and containerisation, and databases including vector databases
- Comfortable with mathematical concepts such as linear algebra, optimisation, probability, graph theory and dynamical systems
- Enjoy working on highly technical scientific problems
Nice To Haves
- Physics simulations, scientific computing or computational physics
- HPC environments
- Reinforcement learning
- AI for Science
- Quantum computing
- Scientific publishing workflows
- Open-source AI frameworks
Responsibilities
- Design multi-agent research systems and the orchestration that ties them together
- Build long-term memory architectures for scientific reasoning
- Create paper ingestion and knowledge extraction pipelines
- Develop scientific reasoning workflows and connect AI agents to simulation environments
- Build autonomous experiment and evaluation loops
- Design retrieval, planning, and orchestration systems
- Integrate state-of-the-art LLMs and open-source models
- Develop scalable infrastructure for continuous learning
- Explore next-generation AI architectures for scientific discovery
Benefits
- Remote-first work environment
- Opportunity to work on solving one of humanity's hardest problems
- Work with an exceptional founding team with scientific and commercial track records
- Minimal bureaucracy allowing talented people to move fast
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
