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.