Autonomy Engineer - Performance and Reliability

• Design and implement testing strategies and evaluation frameworks for autonomy software systems
• Develop observability tools and test hooks within autonomy algorithms to improve testability, introspection, and debugging
• Build and maintain automated and manual test suites for simulation-based, system integration, and on-vehicle validation
• Lead test plan design, drive defect triage and root cause analysis, and surface critical risks early in the development cycle

This role creates positive change by developing reliable, real-world autonomy solutions for carbon-neutral public transit systems that make transportation more accessible, affordable, and sustainable, empowering communities to thrive and unlocking economic and social prosperity.

• Bachelor’s or Master’s degree in Computer Science, Robotics, or a related technical field
• 3+ years of hands-on experience in software development and testing, with a focus on complex systems such as autonomy, robotics, or real-time control
• Strong proficiency in C++, with demonstrated ability to write high-quality, testable, and maintainable code. Fluency with Python (pandas, pyspark, streamlit)
• Experience with data-driven analysis of sensor data, logs, and metrics to identify performance trends, predict failures, and diagnose system issues

No specific benefits, compensation, or perks mentioned in the job description.

Glydways is reimagining public transit with a mission to revolutionize transportation by delivering high capacity, exceptional user experiences, unmatched affordability, and minimal environmental impact through a groundbreaking network of carbon-neutral, interconnected transit pathways powered by standardized autonomous vehicles.