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Design and execute vehicle- and system-level test plans for autonomous vehicle hardware and software. Troubleshoot and debug issues, perform root-cause analysis, develop data analysis and visualization tools, and communicate findings to engineering teams. Provide input on testable system designs and prioritize test exceptions to meet customer requirements.

Integrate autonomous driving hardware and software systems—including sensors, actuators, ECUs, networking, communications, and power delivery—into base vehicle platforms. Maintain integration documentation and serve as the first responder for vehicle issues. Diagnose automotive bus systems, triage hands-on vehicle problems, determine root causes, and implement resolutions. Support sensor calibration and work with CAN analysis tools, MATLAB/Simulink, and Linux.

Develops and leads electrical and mechanical hardware validation, verification, reliability testing, fixtures, benches, and test processes for autonomous vehicles. Responsibilities include troubleshooting, root cause analysis, corrective actions, failure analysis, test documentation, design reviews, FMEA participation, and implementing RMA/RCA processes. The role also supports vehicle commissioning, fleet-wide hardware deployment, and onboarding and training additional test engineers, with travel up to 30%.

The Operations Project Manager will oversee customer operations, ensure vehicle compliance, and lead product deployment while collaborating with various teams.

The Robotics Engineer will develop and maintain software for robotic arm solutions, troubleshoot issues, and require hands-on experience with robotics frameworks.

The Senior Software Engineer will support the full software development life cycle for autonomous vehicle technology and build robust infrastructure.

The candidate will support the software development life cycle for autonomous vehicles, build tools for development teams, and collaborate with hardware engineers.

Design and develop prototype hardware systems for self-driving vehicles, manage design reviews, and select materials for manufacturing.

This role involves leading a perception team in developing algorithms for autonomous driving systems, supervising team members, and conducting research to enhance perception capabilities.

The AV Specialist will develop test requirements, troubleshoot software/hardware, collect data for engineering teams, and communicate results effectively.