Industrial UI/UX Engineer — Ship Frontends for Robotics

Mujin US; Suwanee (GA); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Life Insurance

Disability Insurance

PTO 15 days

Paid Holidays

401(k) Plan

Parental Leave

HSA option

FSA option

Referral Bonuses

Stock Options

Job summary

Mujin US is seeking a UI/UX Design Engineer to ship production front ends for live factory-floor robotics. You’ll craft interfaces across PC desktop apps, operator HMIs, and scanner screens, using Figma and production code in a MUI/React codebase.

Join a cross-functional team with product, engineering, and field staff to turn real user needs into intuitive experiences. You’ll prototype quickly, contribute to the MujinController design system, and ground decisions in real-world data.

Qualifications

• 3+ years designing complex enterprise UI with a production portfolio.
• Verifiable production implementations; MUI experience is a plus.
• Strong product thinking; demonstrate outcomes beyond visuals.
• Clear communication and collaboration in English.

Responsibilities

• Own features end to end in Figma and production front end (MUI/React).
• Collaborate with product, engineering, and field teams to meet user needs.
• Design across PC desktop apps, operator HMIs and screens.
• Model complex, safety-relevant states for continuous operations.
• Prototype rapidly and extend MujinController design system.

Skills

UI/UX design

Figma & React

MUI experience

English communication

AI design tools

Initiative

Tools

MUI

Job description

Mujin US is seeking a UI/UX Design Engineer to ship production front ends for live factory-floor robotics. You’ll craft interfaces across PC desktop apps, operator HMIs, and scanner screens, using Figma and production code in a MUI/React codebase.

Join a cross-functional team with product, engineering, and field staff to turn real user needs into intuitive experiences. You’ll prototype quickly, contribute to the MujinController design system, and ground decisions in real-world data.