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Product Designer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Avala
Full Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    UI/UX Design, Product Designer
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below

Posted 6 months ago San Francisco, CA full-time

About This Role

Design the user interfaces and experiences for Avala's annotation platform — the tools that robotics engineers use to visualize, label, and ship ground truth data for Physical AI. You'll own the design system and shape how thousands of engineers and annotators interact with 3D/4D data.

What You'll Do:

  • Design user interfaces for Mission Control (Flutter web app) and annotation tools
  • Define and maintain the Avala design system — components, patterns, and guidelines
  • Lead user research and usability testing with enterprise customers and annotation teams
  • Create prototypes and high-fidelity designs in Figma
  • Collaborate cross-functionally with engineering, operations, and product teams
  • Design data visualization experiences for complex 3D/4D sensor data

Requirements:

  • 3+ years of product design experience with a strong portfolio
  • Figma proficiency — components, auto-layout, prototyping
  • Understanding of HTML, CSS, and frontend development constraints
  • UX methodology and user-centered design knowledge
  • Experience designing data-heavy or technical applications

Nice to Have:

  • Experience designing 3D visualization or spatial interfaces
  • Familiarity with design systems at scale
  • Experience in developer tools, data platforms, or B2B SaaS

Product Design UI/UX Figma Design Systems HTML/CSS

What We Offer

Competitive salary and meaningful equity in the team building Fleet Learning Infrastructure for Physical AI

Full health, dental, and vision coverage, plus FSA and unlimited PTO

Work on the closed-loop data infrastructure that the next generation of autonomous systems learns from

A team that built Tesla Autopilot's data infrastructure, now building something bigger

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