LILA has created the world's first Operating System for Science powered by Scientific Superintelligence™. Backed by General Catalyst.
About the role
You will be the human-factors voice for Robotics, working on the software that runs Lila's autonomous labs. Partnering with software engineers and researchers, you'll make its most demanding surfaces — simulation, research operations, orchestration, and SCADA-style monitoring — clear, safe, and trustworthy under pressure, directly shaping how fast the factory runs and how few mistakes it makes.
What they're looking for
- UX research depth: 4–8 years in UX research or human factors for complex operational, industrial, or scientific software — this is a research-first role
- Operational-display design: high-density, high-stakes interfaces such as control rooms, monitoring dashboards, or data-heavy tooling
- Core research methods: contextual inquiry, task analysis, and usability testing, turned into clear direction
- Interaction & IA craft: strong information-architecture and interaction-design skills, with prototyping in Figma or equivalent
- Human-in-the-loop & situational awareness: designing for operator supervision and error prevention
- Cross-functional communication: partnering with engineers and domain experts and defending design decisions with evidence
More about this role
You will be the human-factors voice for Robotics, working on the software that runs Lila's autonomous labs. Partnering with software engineers and researchers, you'll make its most demanding surfaces — simulation, research operations, orchestration, and SCADA-style monitoring — clear, safe, and trustworthy under pressure, directly shaping how fast the factory runs and how few mistakes it makes.
- Lead usability research: run contextual inquiry, task analysis, and usability testing to ground UI decisions in real workflows.
- Design for high-stakes displays: shape information architecture and interaction patterns for high-density orchestration and SCADA-style monitoring where situational awareness is paramount.
- Prototype and validate: build Figma prototypes and testable flows for simulation, lab, and capacity-planning UIs, then iterate from evidence.
- Design human-in-the-loop workflows: define how operators supervise, intervene in, and trust automated and AI-driven processes.
- Partner with engineering: embed with the software engineers who build these UIs, translating research into specs, patterns, and design-system contributions.
- Champion accessibility: set and uphold...
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