Scientific Software Developer — Materials

Key Responsibilities: Design end-to-end materials informatics solutions, applying deep knowledge of materials science, chemistry, and machine learning to translate client R&D problems into architectures spanning data, models, and user-facing applications. Work agent-first, using AI coding assistants and autonomous coding agents as your default way to explore data, prototype models, build software, write tests, and produce documentation. Direct AI agents like a technical lead. Decompose materials and chemistry problems into well-scoped tasks, give agents the domain context and physical constraints they need, write clear specifications, and iterate toward correct, defensible results. Solve complex research and product development problems in close collaboration with client researchers and business leaders. Build data-driven models, AI-based decision-support tools, and automated analysis pipelines, and assemble them into web-based software solutions involving GUIs, 2D and 3D graphics, and cloud computing. Design AI-enabled and agentic capabilities into client solutions where they add value: LLM-powered literature and data extraction, tool and function calling, retrieval over materials data, and evaluation harnesses. These are held to the same rigor as any other component. Apply judgment about where AI and generative approaches fit and where they do not, especially given the small, sparse, and noisy datasets typical of materials R&D, balancing speed against reliability and reproducibility. Take part in collaborative development practices including release planning, architecture reviews, code review, sprint planning, retrospectives, and daily standups, and interface directly with clients to define, demonstrate, and refine solutions. Handle client data and intellectual property responsibly, using AI tools only in approved, secure configurations.

What We Offer: Meaningful impact. Your work directly advances scientific breakthroughs, from accelerating drug discovery to developing sustainable materials. A front-row seat to agentic AI. We are an automation-first company where every role directs AI tools, and you will help define how the industry puts them to work. World-class colleagues. You will work alongside some of the smartest, kindest scientists and engineers around. Continuous learning. Enthought's training programs in Python, machine learning, and scientific computing are open to you. A global, collaborative culture across our Austin, Cambridge, and Tokyo offices. Flexible hybrid work based out of our Austin office. Competitive compensation and benefits.