About the job
Location: Las Vegas, Nevada, United States
Motional develops autonomous driving technology aimed at making driverless vehicles safe, reliable, and accessible. Backed by Hyundai Motor Group, Motional works to advance transportation safety and sustainability through real-world deployment of AI-powered vehicles.
Team: Systems Readiness and Performance
This group bridges software development and real-world application. The team leads system design, validates the autonomy stack, and sets measurable performance targets. Collaboration with autonomy, infrastructure, and operations teams is key to building the safety case for launching fully driverless IONIQ 5 robotaxis in Las Vegas.
Role overview
The Senior Engineer, Autonomy Machine Learning Systems, joins the Autonomy Subsystems team, which designs and evaluates autonomy software modules. This role centers on improving machine learning subsystems within Motional's autonomy stack.
- Evaluate machine learning models using offline testing, open and closed-loop re-simulations, and on-road performance analysis
- Define and track metrics for autonomy subsystem performance
- Validate machine learning model performance against established metrics
- Deliver insights to machine learning developers and teams to help improve model performance in deployed vehicles
Requirements
- Experience designing and evaluating safety-critical systems and machine learning models
- Interest in autonomy, robotics, and machine learning
- Motivation to help build production-ready systems for scaled robotaxi deployment
