Software Integration Engineer, Validation

Lead planning and execution of closed-course autonomous vehicle system testing.

Create V&V plans and develop test matrix based on product requirements to thoroughly test autonomy software on-vehicle.

Identify, diagnose, and troubleshoot software errors, including working with Linux, ROS, sensors, actuators, and various log data.

Work with engineers to determine how to test different parts of the autonomy stack and report back test failures to management.

Organize and execute field testing to test autonomy software on-vehicle in various environments including closed course.

Execute the test cases based on release milestones.

Dive deep and support triaging issues of various components of the AV stack

Generate documentation and back-end tooling to improve operational efficiency

Skills in Computer Science, Software Engineering, Robotics or AV

Experience creating and executing test plans for software and hardware systems.

Experience debugging system behaviors in Linux, ROS, C++, and Python, and identifying software failures caused by hardware sensors.

Programming skills in Python, C++, bash

Willingness to travel to test sites near San Antonio, Texas and around the country.

Experience working in testing Autonomy or ADAS applications.

Previous experience testing large vehicles in defense, mining, construction, or agriculture.

Experience with autonomous driving compute systems, sensors and communication protocols.