Introduction
We are seeking an experienced Autonomous Vehicle Systems Analyst who specializes in analyzing the performance of self-driving technologies. If you are passionate about autonomous systems, safety validation, and data-driven optimization, this role provides a unique opportunity to shape the future of mobility.
As an Autonomous Vehicle Systems Analyst at our organization, you will bridge the gap between engineering, operations, and compliance teams. You’ll evaluate perception, planning, and control systems, monitor sensor data, and recommend improvements to ensure our vehicles operate safely in diverse real-world environments.
We offer competitive compensation, comprehensive benefits, and opportunities to influence groundbreaking innovations in mobility and transportation.
Objectives of this role
- Analyze autonomous vehicle performance across perception, planning, and control modules.
- Identify safety risks, anomalies, and failure modes in self-driving systems.
- Support compliance with industry safety standards and regulatory requirements.
- Provide actionable insights from test data, simulations, and field operations.
Your tasks
- Monitor and evaluate AV logs, sensor data (LIDAR, radar, cameras), and control signals.
- Develop dashboards and reporting tools for performance monitoring.
- Collaborate with AI and robotics engineers to validate autonomy features.
- Document findings for internal stakeholders and regulatory agencies.
- Contribute to safety validation protocols and incident response investigations.
- Analyze edge cases to improve system robustness in urban and highway environments.
Required skills and qualifications
- Bachelor’s degree in Systems Engineering, Robotics, Computer Science, or related field.
- 3+ years of experience in autonomous systems, automotive, or aerospace analysis.
- Proficiency in Python, MATLAB, or C++ for data analysis and visualization.
- Knowledge of AV system architecture, perception models, and planning algorithms.
- Familiarity with safety-critical system validation practices.
Preferred skills and qualifications
- Experience with simulation platforms (CARLA, PreScan, Gazebo).
- Knowledge of ISO 26262 and SAE levels of driving automation.
- Familiarity with ROS (Robot Operating System).
- Experience with machine learning applications for perception.
- Strong understanding of regulatory frameworks in autonomous mobility.
