Contract Student Worker - Forward Deployed Automation Engineer (40 hrs/wk)

Zoox; Seattle (WA); On-site; USD 36,000 - 47,000; Part time

Job summary

Zoox is seeking a Part-Time Student Worker to join the Fleet- Operations team. The role focuses on operational efficiency, building tools and dashboards, and validating data to support fleet performance.

You will design mobile-first internal applications, deploy tools to aid dispatch and routing, and create real-time dashboards with sub-second latency. Must be enrolled in a BS/MS and able to commit to at least 40 hours per week for a minimum three months.

Qualifications

• Currently enrolled in a B.S. or M.S. program in a relevant discipline.
• Able to commit to a minimum 40 hours per week.
• Available to commit to a minimum three-month assignment.
• On-site at Zoox office locations.
• Collaborate with L3 hardware and software engineering teams to ensure tools reflect latest capabilities.

Responsibilities

• Design and deploy internal mobile-first web applications for field operators.
• Build live dashboards to visualize fleet health and metrics.
• Develop tools to assist with vehicle dispatch, routing, and end-of-shift reporting.

Skills

Application & Tool Development

Workflow Automation

Data Analytics & Dashboarding

Cross-Functional Collaboration

Education

B.S. or M.S. in a relevant discipline

Job description

About Zoox

Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets.

About Our Part-Time Student Worker Program

Zoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters.

Role Overview

This role focuses on operational efficiency, building tools and dashboards, and conducting data verification and validation (V&V) for the Fleet- Operations team. The person will also work closely with the team to help drive operational efficiency across L3 programs.

Responsibilities

• Application & Tool Development


• Design and deploy internal mobile-first web applications to assist field operators with vehicle dispatch, routing, and end-of-shift reporting.


• Build responsive user interfaces for real-time fleet monitoring, ensuring sub-second latency for tracking vehicle states and locations.

Required Qualifications

• Develop specialized diagnostic tools that translate complex vehicle telemetry and hardware sensor data into readable formats for non-technical operations staff.


• [placeholder]


• Workflow Automation


• Architect automated ticketing systems to streamline maintenance requests, incident reporting, and vehicle recovery dispatches.

Bonus Qualifications

• Integrate AI-driven workflows to parse operational logs, identify recurring hardware or software faults, and automatically flag high-priority issues to engineering teams.


• [placeholder]


• Develop automated compliance trackers that cross-reference fleet operational zones with local municipal regulations to prevent routing violations.


• Data Analytics & Dashboarding

Program Requirements

• Construct live operational dashboards to visualize fleet health, downtime metrics, and operator efficiency metrics.


• Currently enrolled in a B.S. or M.S. program in a relevant discipline.


• Optimize database queries across NoSQL and SQL structures to ensure rapid retrieval of historical fleet data for weekly operational reviews.


• Available to commit to a minimum three-month assignment.


• Aggregate and analyze large sets of vehicle performance data to provide actionable recommendations for improving fleet utilization and reducing idle times.


• Able to commit a minimum of 40 hours per week.


• Cross-Functional Collaboration


• Able to work on-site at one of our office locations.


• Interface directly with L3 hardware and software engineering teams to ensure operational tools accurately reflect the latest autonomous system capabilities and constraints.


• Must adhere with Zoox confidentiality requirements, including refraining from using or sharing proprietary company information outside of Zoox, such as in academic research, theses, publications, or presentations.


• Gather feedback from on-the-ground fleet operators to continuously iterate and improve the UX/UI of internal tools.

We want to be transparent: this is not an internship. The Part‑Time Student Worker Program is designed to complement your academic experience by providing meaningful, ongoing work alongside your studies. Rather than participating in a cohort-based program, you'll join a team directly and contribute to real projects with real impact. While the program does not include structured intern programming or a pathway to full-time employment, it offers valuable opportunities to learn, develop new skills, and gain hands‑on experience in a professional environment.

Compensation for this role is $30/hour.

This is a contract position; employment will be through a vendor contracted with Zoox. The hourly rate is as posted, and benefits eligibility is determined by the vendor.

About 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, Zoox aims to provide the next generation of mobility‑as‑a‑service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast‑moving and highly execution‑oriented team.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [e-mail] or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.