Senior Human Factors Engineer I/II, Robotics
Lila Sciences
Cambridge, MA · $144k–$240k a year · Posted August 10, 2026
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Where Cambridge, MA ranks
Where Cambridge, MA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for healthcare pay after cost of living$180k · of 24
- #1Best cities for director and executive jobs53% · of 100
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- #1Best cities for director and executive jobs in New England53% · of 28
- #2Best cities for life sciences and biotech jobs579 openings · of 41
- #2Cities with the most jobs that do not need a four-year degree in New England59 jobs · of 14
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
How AI is used in this kind of work
AI use among industrial engineers is little observed so far. Measured exposure for industrial engineers: 4% (little observed).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
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 combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We’re All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy .
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.