Autonomy Engineer – Performance and Reliability

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November 20

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Glydways

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Transport • Artificial Intelligence • B2C

Glydways is a company focused on transforming public transit through innovative and efficient mobility solutions. Their unique approach includes a seamless self-driving fleet operating on dedicated guideways, allowing for direct and congestion-free rides. Glydways aims to make transit accessible and financially sustainable, promoting the idea that access to mobility is essential for opportunity and community engagement.

51 - 200 employees

Founded 2016

🚗 Transport

🤖 Artificial Intelligence

👥 B2C

📋 Description

• Lead testing strategies across routing, planning, controls, and simulation. • Collaborate closely with software developers to build robust software tests, improve testing infrastructure, and drive root cause analysis. • 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. Make recommendations for system improvements. • Increase test coverage for various autonomy behaviors and edge cases, with a focus on safety, robustness, and performance validation. • Collaborate directly with autonomy developers, infrastructure engineers, and system designers to make testing more robust. • Continuously improve test infrastructure, automation pipelines, and reporting tools to enable fast iteration, reproducibility, and actionable feedback.

🎯 Requirements

• 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 designing and implementing test plans, test frameworks, and automated testing pipelines for algorithmic software (e.g., routing, planning, control systems). • Familiarity with scale testing: simulation, aggregated evaluation, hardware-in-the-loop (HIL), or cloud-based test environments. • Understanding of autonomous vehicle algorithms (e.g., path planning, motion control, kinematics, state estimation) and their specific quality and observability challenges. • Proven track record of driving root cause analysis, delivering robust fixes, and owning quality improvements across the full software lifecycle.

🏖️ Benefits

• Equal employment opportunities • Prohibits discrimination and harassment of any type