This role is centered on deep, hands-on analysis of field test data. You will spend your time immersed in autonomy runs, synchronized logs, ROS MCAPs, sensor outputs, and recorded test video — building deep intuition for system behavior by repeatedly reviewing the same routes and scenarios over time. This sustained exposure and consistent analysis enables you to not only annotate and tag data but identify subtle patterns, regressions, and improvements that are not visible through metrics alone.

You will be embedded in the test workflow, translating observed behavior into structured datasets, high-quality issue reports, and clear test summaries. Your work forms the factual record of system behavior that engineering, leadership, and customers rely on to assess readiness and risk in demanding defense environments.

This role sits at the intersection of autonomy testing, data analysis, and systems thinking, with a strong emphasis on accuracy, traceability, and clarity over speed.

Key Responsibilities Primary Responsibility: Field Test Data Review & Behavior Analysis

• 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

Issue Identification, Trends & Root Cause Insight

• 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

Test Reporting & Evidence Development

• 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

Data Visibility & Communication

• 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

What You’ll Need To Succeed

• 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

What Will Set You Apart

• 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

Location The preferred location for this position is onsite in Seattle, WA .

Compensation Annual Base Pay: $95,000 – $120,000 USD

Benefits

• Equity compensation
• Best-in-class healthcare, dental, and vision plans
• Unlimited PTO
• 401(k) with company match
• Parental leave