Fleet Quality Engineer
Coco
At Coco, we’re dedicated to perfecting the last-mile delivery experience. We strongly believe the delivery service industry in its current state is massively under-serving merchants, and we are committed to creating a frictionless, reliable, consistent, and sustainable delivery experience for merchants and their customers in cities everywhere.
About this team / Day In a Life
The Fleet Quality team is Coco’s front line when it comes to understanding — and improving — how our delivery robots perform in the real world. As a member of this team, you’ll take a data-driven approach to uncovering patterns, diagnosing failures, and driving long-term fixes across both hardware and software.
Key Responsibilities
Monitor and analyze field data from system logs, field reports, customer support, and dashboards to detect and track failure trends.
Utilize data analysis tools such as Python, SQL, OpenSearch, and Grafana to process, interpret, and visualize complex datasets.
Design and execute targeted test plans to isolate individual failures and identify root causes.
Collaborate with engineering teams to develop and deploy test fixtures and assemblies that enhance robot reliability.
Provide comprehensive feedback to hardware and software engineering teams on failure modes to support the development of robust solutions.
Aggregate, synthesize, and present insights on key issues and trends to stakeholders and company leadership in a clear and actionable manner.
Work with robot technicians and engineers to develop and maintain detailed standard operating procedures for robot repairs, upgrades, commissioning, and calibration.
Conduct in-depth failure analyses of hardware and software systems to the root cause level.
Basic Qualifications
Bachelor’s Degree in computer science, robotics, or equivalent work experience
Experience with Python and SQL
Preferred Qualifications
Practical experience with robotics hardware and/or software systems.
Familiarity with data analysis and visualization tools such as Sigma and Grafana.
Experience working with embedded Linux systems.
Proficiency in using JIRA and Confluence for team collaboration and documentation.