Overland AI · 1 month ago
Test Data Analyst
Seattle
Full-time
Onsite
Entry, Mid Level
$95K/yr - $120K/yr
2+ years expOverland AI is a company focused on transforming land operations for modern defense through advanced robotics and machine learning. They are seeking a Test Data Analyst to analyze field test data of autonomous vehicles, translating observed behaviors into structured datasets and high-quality reports to improve system performance and safety.
Artificial Intelligence (AI)Autonomous VehiclesMachine LearningRoboticsSoftware
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
Own the quality of issue reporting by producing, reviewing, and enriching bug reports with clear context, timestamps, and supporting evidence
Track and trend system behavior across repeated routes, environments, and software/hardware releases to identify regressions and improvements
Analyze recurring anomalies (e.g., odometry stability, localization consistency, planner decisions) using longitudinal test data
Perform structured analysis to identify contributing factors across autonomy software, vehicle systems, sensing, and operations
Support issue prioritization by providing data-backed context that distinguishes isolated events from systemic risk
Generate clear, structured test summaries that synthesize large volumes of data into conclusions and recommendations
Contribute traceable evidence to support hazard analysis, validation activities, and future certification efforts
Help define repeatable standards and formats for test reporting as the organization scales
Transform raw test data and analysis into visual, consumable artifacts for engineers, operators, and leadership
Create clear plots, summaries, timelines, and annotated media that communicate system behavior and test outcomes
Support shared understanding of system performance, risk, and maturity across technical and non-technical audiences
Qualification
Required
Bachelor's degree in a technical field (Engineering, Computer Science, Applied Math, Physics, Data Science, or similar) or equivalent practical experience
2–5 years of experience analyzing data from complex, real-world systems
Experience working with sensor-rich or operational data from domains such as autonomy, robotics, automotive, aerospace, defense, or similar environments
Comfort working with autonomy and robotics data artifacts, including logs, telemetry, ROS artifacts, and sensor outputs
Strong analytical skills and the discipline to methodically work through large volumes of real-world test data
Ability to reason about autonomous system behavior across perception, planning, control, and vehicle interfaces
High attention to detail with a bias toward accuracy, traceability, and completeness
Clear written communication skills for producing bug reports, analyses, and test summaries
Working proficiency with Python or similar tools for data analysis and lightweight automation
Comfort operating in fast-paced, field-forward development environments
Preferred
Experience working directly with autonomous vehicle sensor data, including LiDAR, radar, and camera streams
Demonstrated ability to synthesize ambiguous or incomplete datasets into clear, defensible conclusions
Experience analyzing long-duration test data or reviewing extensive test video to identify subtle system behaviors
Familiarity with systems engineering concepts such as Operational Design Domains (ODDs), duty cycles, or performance requirements
Exposure to safety analysis, certification activities, or formal verification and validation workflows
Experience producing structured test reports or evidence packages for external or regulated stakeholders
Strong data visualization skills and the ability to communicate technical results clearly to both technical and non-technical audiences
Benefits
Equity compensation
Best-in-class healthcare, dental, and vision plans
Unlimited PTO
401(k) with company match
Parental leave
Company
Overland AI
Overland AI is a manufacturer and developer of autonomous navigation for off-road autonomous vehicles.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$42MKey Investors
8VCPoint72 Ventures
2025-01-13Series A· $32M
2024-05-20Seed· $10M
Leadership Team
Byron Boots
Chief Executive Officer
Stephanie Bonk
Co-Founder, President
Recent News
2025-06-10
Company data provided by crunchbase