Overland AI is transforming land operations for modern defense by delivering autonomy capabilities for ground vehicles to navigate off-road terrain without GPS or direct operator control. The company aims to strengthen national security through close iteration with tactical end users.
Requirements
- Comfort working with autonomy and robotics data artifacts, including logs, telemetry, ROS artifacts, and sensor outputs
- Working proficiency with Python or similar tools for data analysis and lightweight automation
- Ability to reason about autonomous system behavior across perception, planning, control, and vehicle interfaces
- Experience working with sensor-rich or operational data from domains such as autonomy, robotics, automotive, aerospace, defense, or similar environments
- Strong analytical skills and the discipline to methodically work through large volumes of real-world test data
- High attention to detail with a bias toward accuracy, traceability, and completeness
- Clear written communication skills for producing bug reports, analyses, and test summaries
Responsibilities
- Perform deep review of autonomy field test data, including synchronized video, ROS MCAPs, telemetry, and sensor outputs
- Build strong familiarity with system behavior by analyzing repeated routes and scenarios across changing software and hardware configurations
- Annotate autonomy behavior, anomalies, and decision-making moments with precise timestamps and contextual notes
- Identify subtle deviations, trends, and regressions that emerge through longitudinal analysis rather than single test runs
- Identify, classify, and document hardware, software, and system-level behaviors observed during autonomy testing
- Generate clear, structured test summaries that synthesize large volumes of data into conclusions and recommendations
- Transform raw test data and analysis into visual, consumable artifacts for engineers, operators, and leadership
Other
- Bachelor’s degree in a technical field (Engineering, Computer Science, Applied Math, Physics, Data Science, or similar) or equivalent practical experience
- The preferred location for this position is onsite in Seattle, WA
- 2–5 years of experience analyzing data from complex, real-world systems
