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

Zoox•Seattle, WA

2d•Onsite

About The Position

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. 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. Workflow Automation Architect automated ticketing systems to streamline maintenance requests, incident reporting, and vehicle recovery dispatches. Integrate AI-driven workflows to parse operational logs, identify recurring hardware or software faults, and automatically flag high-priority issues to engineering teams. Develop automated compliance trackers that cross-reference fleet operational zones with local municipal regulations to prevent routing violations. Data Analytics & Dashboarding Construct live operational dashboards to visualize fleet health, downtime metrics, and operator efficiency metrics. Optimize database queries across NoSQL and SQL structures to ensure rapid retrieval of historical fleet data for weekly operational reviews. Aggregate and analyze large sets of vehicle performance data to provide actionable recommendations for improving fleet utilization and reducing idle times. Cross-Functional Collaboration Interface directly with L3 hardware and software engineering teams to ensure operational tools accurately reflect the latest autonomous system capabilities and constraints. Gather feedback from on-the-ground fleet operators to continuously iterate and improve the UX/UI of internal tools.

Requirements

Currently enrolled in a B.S. or M.S. program in a relevant discipline.
Available to commit to a minimum three-month assignment.
Able to commit a minimum of 40 hours per week.
Able to work on-site at one of our office locations.
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.

Nice To Haves

AI-driven workflows
Automated compliance trackers

Responsibilities

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.
Architect automated ticketing systems to streamline maintenance requests, incident reporting, and vehicle recovery dispatches.
Integrate AI-driven workflows to parse operational logs, identify recurring hardware or software faults, and automatically flag high-priority issues to engineering teams.
Develop automated compliance trackers that cross-reference fleet operational zones with local municipal regulations to prevent routing violations.
Construct live operational dashboards to visualize fleet health, downtime metrics, and operator efficiency metrics.
Optimize database queries across NoSQL and SQL structures to ensure rapid retrieval of historical fleet data for weekly operational reviews.
Aggregate and analyze large sets of vehicle performance data to provide actionable recommendations for improving fleet utilization and reducing idle times.
Interface directly with L3 hardware and software engineering teams to ensure operational tools accurately reflect the latest autonomous system capabilities and constraints.
Gather feedback from on-the-ground fleet operators to continuously iterate and improve the UX/UI of internal tools.
Develop specialized diagnostic tools that translate complex vehicle telemetry and hardware sensor data into readable formats for non-technical operations staff.