Company Description: IMCS Group is one of the fastest growing MWBE (Minority Woman Owned Enterprise) staffing firms in the U.S. We focus on bringing a Diversity Recruitment approach to Fortune 500 companies within North America and EMEA region contingent labor programs. IMCS Group excels in providing top talent in IT, Healthcare, Engineering, Finance, Light Industrial, Contact Center, and Clerical. We have offices in the US, Canada, Mexico, and India in which we can provide support to our clients.
AV Quality Assurance Specialist - AV Lab
About the Role
We are building a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on solving the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match.
As an AV Quality Assurance Specialist, you will serve as a crucial technical bridge between real-world fleet operations, system validation engineering, and data pipeline teams. You will perform first-level analysis on complex fleet driving logs, execute initial root-cause triage on system disengagements, enrich raw driving data with structured metadata, and validate automated triage tooling. This role requires a meticulous, safety-first mindset and a passion for data-driven debugging to maintain the high fidelity of our autonomous dataset.
Key Responsibilities
Data Triage & Log Analysis: Perform first-pass investigation of real-world run data, system overrides, and edge-case disengagements using specialized log visualization tools.
Metadata & Issue Tagging: Enrich intervention events with precise root-cause labels, Jira issue links, contextual tags, and diagnostic notes to accelerate dataset curation.
Issue Lifecycle Management: Support end-to-end issue tracking across identification, initial investigation, cross-functional routing, and documentation.
Tooling Feedback & QA: Test and validate automated triage scripts, bots, and internal diagnostic dashboards, delivering actionable feedback to improve tooling throughput.
Cross-Functional Collaboration: Partner closely with AV System Validation Engineers, Software Pods, and Field Operations to maintain standardized triage SOPs.
What You Will Do
First-Pass Data Analysis: Perform structured first-pass analysis on incoming real-world fleet data, system overrides, and driver interventions to identify anomalous software or hardware behavior.
Root-Cause Classification & Metadata Enrichment: Accurately apply standardized root-cause labels, metadata tags, and bug tracking links (Jira) to disengagement events, ensuring high dataset fidelity for downstream model training and scenario simulation.
Collaborative Issue Lifecycle Tracking: Track and manage issues through their full lifecycle from initial field recording to engineering handoff and resolution verification.
Automation Bot & Tooling Validation: Actively test, validate, and evaluate triage automation scripts and internal visualization dashboards. Provide feedback to developer teams to eliminate workflow bottlenecks.
Operational SOP Execution: Follow and iterate upon operational playbooks and Standard Operating Procedures (SOPs) to ensure consistent, bias-free, and high-accuracy triage outcomes across distributed shifts.
Trend Identification: Assist System Validation Engineers in spotting recurring edge-case patterns, hardware dropout trends, or dataset annotation anomalies.
Qualifications
Basic Qualifications
Experience: Minimum 1 2+ years of technical operations, quality assurance, data triage, or software/hardware testing experience in autonomous vehicles, ADAS, robotics, aerospace, or safety-critical industries.
Data & Log Triage Skills: Demonstrated ability to perform log analysis, troubleshoot complex technical workflows, and navigate issue-tracking ecosystems (e.g., Jira, Confluence).
Scripting & Data Basics: Basic proficiency with scripting languages (e.g., Python, Bash) or database queries (SQL) for log parsing, metric verification, or data filtering.
Technical Terminology: Strong familiarity with autonomous vehicle terminology, software release workflows, and multi-sensor hardware systems.
Education: Bachelor s degree in Engineering, Computer Science, Data Analytics, Information Systems, or equivalent technical practical experience (desired but not required).
Preferred Qualifications
Domain Expertise: Experience with multi-modal sensor suites (Lidar, Radar, Cameras) and familiarity with CAN bus diagnostic logging tools or time-series data visualization platforms.
Validation & Simulation Exposure: Prior exposure to virtual simulation platforms (Software-in-the-Loop) or physical test bench environments (Hardware-in-the-Loop).
Quality & Safety Mindset: Proven track record of high detail orientation, bias-free problem-solving, and strict adherence to technical safety playbooks.
EEOC Disclaimer: IMCS Group is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. IMCS Group is committed to maintaining an inclusive workforce, where employees are hired, retained, compensated, and promoted based on their contributions to our Company.