Field Reliability Analyst

Zoox • Foster City, CA

2d

About The Position

Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do.

The Reliability team leverages data from our autonomous vehicle fleet and operations to understand system performance, identify failure trends, and improve vehicle availability and safety. As a Reliability Data Analyst, you will work closely with Reliability Engineering, Mission Assurance, and Vehicle Systems teams to develop analytics, metrics, and tooling that support reliability targets and continuous improvement across our autonomous platform. This role is ideal for someone early in their career who enjoys hands-on data work, statistical analysis, and collaborating with engineers to translate vehicle and operational data into actionable reliability insights. You will contribute directly to production decisions such as issue prioritization, design improvements, and maintenance strategies while building depth in reliability engineering and large-scale data pipelines. You’ll join a diverse, experienced reliability organization and gain access to one of the most unique vehicle datasets in the autonomous driving industry.

Requirements

• 1–3 years of professional experience (or equivalent academic/project experience) in data science, analytics, reliability engineering, or a related field
• Working proficiency in SQL for querying relational databases
• Working proficiency in Python and common data analysis libraries (Pandas, NumPy, SciPy)
• Foundational understanding of statistics and the ability to communicate uncertainty and assumptions
• Experience building analyses, metrics, or dashboards to support engineering or business decisions
• Familiarity with version control systems (Git).
• General knowledge of physics and engineering principles.
• Strong communication skills and ability to collaborate across engineering teams

Nice To Haves

• Exposure to Spark or large-scale data processing environments (e.g., Databricks)
• Coursework or experience in reliability engineering, statistical inference, or system performance analysis.
• Experience working with hardware, automotive, or embedded system data
• Familiarity with geospatial data
• Interest in autonomous vehicles, robotics, or complex cyber-physical systems
• Exposure to machine learning or experimentation frameworks

Responsibilities

• Analyze fleet, vehicle, and operational data to support reliability, safety validation, and service readiness initiatives
• Partner with Reliability Engineering and Mission Assurance to help define and track key performance metrics
• Build and scale end-to-end predictive frameworks to monitor component/subsystem health, degradation trends, and real-world usage patterns.
• Build and maintain data pipelines, queries, and dashboards to enable visibility into system health and performance
• Perform statistical analyses to identify trends, anomalies, and improvement opportunities across hardware and software systems
• Support investigations into vehicle issues by cleaning, aggregating, and visualizing large datasets
• Contribute to best practices around data quality, reproducibility, and analytical rigor
• Communicate findings clearly to technical stakeholders through written summaries, visualizations, and presentations

Benefits

• paid time off (e.g. sick leave, vacation, bereavement)
• unpaid time off
• Zoox Stock Appreciation Rights
• Amazon RSUs
• health insurance
• long-term care insurance
• long-term and short-term disability insurance
• life insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees