Software Infrastructure Intern

Core responsibilities:

• Build AI Agents and AI Workflows that enhance how developers and customers experience Zoox
• Apply LLMs to solve real problems that slow teams down or limit product quality
• Focus on reducing time for developers to ship features, accelerating incident triage, improving multimodal datasets, and designing AI Agents that automate engineering workflows
• Own projects from idea to launch while solving user problems with LLMs

This role contributes to developing autonomous vehicle technology that aims to provide next-generation mobility-as-a-service in urban environments, potentially reducing traffic accidents and improving urban transportation efficiency.

Required qualifications:

• Currently working towards B.S., M.S., or advanced degree in relevant engineering program
• Must return to school after internship completion
• Good academic standing
• Able to commit to 12-week internship beginning May or June 2026
• At least one previous industry internship, co-op, or project in relevant area
• Ability to relocate to Bay Area, California for internship duration
• Proficiency in Python or C++
• Coursework or project experience in software development with understanding of data structures and algorithms
• Familiarity with LLMs through coursework, personal projects, or hackathons

Compensation and benefits:

• Monthly salary range: $5,500 to $9,500
• Medical insurance
• Housing stipend (relocation assistance offered based on eligibility)
• Hands-on experience with state-of-the-art technology
• Mentorship from industry experts
• Fast-moving and highly execution-oriented team culture

Zoox is developing the first ground-up, fully autonomous vehicle fleet and supporting ecosystem required to bring this technology to market, sitting at the intersection of robotics, machine learning, and design to provide next-generation mobility-as-a-service in urban environments.