Technology & Engineering internship

Creative Technologist Intern

Zoox

Location

USA

Type

internship

Posted

Jan 22, 2026

Compensation

USD 66000 – 102000

Mission

What you will drive

Core responsibilities:

  • Prototype multimodal experiences for autonomous vehicles at various fidelity levels from rapid concept explorations to high-fidelity interactive prototypes using industry-standard tools
  • Conduct usability testing on passenger-facing interfaces, measuring perceived safety, trust, and interaction intuitiveness
  • Collaborate cross-functionally with designers, vehicle engineers, software teams, and operations to integrate prototypes within vehicle constraints
  • Document technical specifications and design intent for handoff to engineering teams, and present design concepts to stakeholders

Impact

The difference you'll make

This role contributes to developing the first ground-up, fully autonomous vehicle fleet, aiming to provide the next generation of mobility-as-a-service in urban environments through innovative passenger experiences.

Profile

What makes you a great fit

Required qualifications:

  • Currently pursuing a B.S., M.S., or advanced degree in Design Engineering, Mechatronics, HCI, or related field
  • At least one previous industry internship, co-op, or hands-on project in a relevant area
  • Experience with programming languages (Python, C++, JavaScript/TypeScript) and modern web framework libraries (React, Vue.js)
  • Experience with computer-aided design tools (Solidworks/CATIA preferred)
  • Understanding of fabrication workflows (3D printing, laser cutting, soldering)
  • Hands-on experience with microcontrollers (Arduino, Raspberry Pi) or electronics prototyping

Benefits

What's in it for you

Compensation and benefits:

  • Monthly salary range: $5,500 to $8,500 (annual equivalent: $66,000 to $102,000)
  • Medical insurance
  • Housing stipend
  • Relocation assistance (based on eligibility)

About

Inside Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market, sitting at the intersection of robotics, machine learning, and design.