Operations Analyst - Autonomous Vehicle Industry

Job Description

Job Description

Call Liza Rodriguez for a quick phone screen 281-612-1870
Budgeted Pay Range is $30.00-$33.00 an hour
Location: On-site – Pittsburgh, PA

Role Overview

We are seeking a detail-driven AV Operations Analyst to support daily operational analysis of autonomous vehicle events. This role partners with Operations and Autonomy teams to review real-world and simulation data, apply standardized policies, and ensure consistent, high-quality classification of AV system behavior.

This position is ideal for candidates who excel in structured workflows, documentation, and cross-functional collaboration.

What You’ll Do

• Review and triage autonomous vehicle events using established AV Operations policies.

• Accurately annotate and classify events by issue type and priority.

• Follow detailed guidelines to ensure consistent operational decision-making.

• Use internal tools, spreadsheets, and dashboards to track and report findings.

• Prepare clear performance summaries and operational reports.

• Collaborate closely with Operations, QA, and Autonomy stakeholders.

Operations Qualifications

• Strong ability to read, understand, and consistently apply detailed policy documentation.

• Experience working in operational, QA, or analysis-driven environments.

• Proven attention to detail and process adherence.

• Experience producing reports and summaries for cross-functional teams.

• Proficiency with G Suite (Sheets, Docs, Slides).

• Previous experience in AV, robotics, labeling, QA, or operations roles is a plus.

Ideal Operations Candidate

• Process-oriented and comfortable working with defined standards and workflows.

• Strong organizational and documentation skills.

• Enjoys ensuring consistency, accuracy, and quality.

• Effective communicator across technical and non-technical teams.

Why Join

This role is critical to maintaining the quality and reliability of autonomous vehicle operations. Your work ensures accurate system evaluation and supports continuous improvement across AV development.

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