Software Integration Engineer, Validation
Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Sep 29, 2026. PlusAI scores C on the Alion truth index.
We're looking for a software integration engineer to lead Validation & Verification (V&V) efforts at Plus by conducting hands-on testing of our autonomous driving stack. In this role, you will work together with engineering and operations teams to develop and implement closed-course vehicle testing programs. Your responsibilities will include creating and executing end-to-end software test plans for autonomous driving, supporting development on either the planning or MCU teams, and generating tooling and documentation to improve operational efficiency.
Responsibilities
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
Required Skills
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.
Preferred Skills
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.