Lila Sciences · Engineering · Senior · Posted 2026-08-10
Senior Human Factors Engineer I/II, Robotics
Lila Sciences · Cambridge, MA USA · $144k–240k base
This range's midpoint is above 25% of posted engineering ranges at AI companies right now. See the salary index.
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Your Impact at LILA
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 You'll Be Building
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 accessibility and interaction standards as the platform grows.
What You'll Need to Succeed
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.
Bonus Points For
Human factors in regulated, safety-critical domains: systems-engineering rigor and prior HF/UX work in aerospace, manufacturing, or healthcare/life sciences. Grounding in ISO 9241-210 (human-centred design) or WCAG 2.2 (accessibility) a plus.
Scientific or lab context: laboratory, robotics, manufacturing, or other regulated/operational environments.
SCADA & control systems: familiarity with control-room HMI design (ANSI/ISA-101), SCADA, or MES interfaces (you'll design the UI, not own the system).
Quantitative methods: survey design, behavioral analytics, or other quantitative research alongside qualitative work.
AI-driven interfaces: designing interfaces for AI-assisted or autonomous workflows.
Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range $144,000 — $240,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA c …
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See also: Robotics Engineer jobs · AI jobs in Boston · Lila Sciences salaries · Robotics jobs · Simulation jobs · Figma jobs.
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