Software Integration Engineer

We're looking for an experienced software integration engineer to lead Validation & Verification (V&V) efforts at Plus by conducting hands-on testing of our autonomous driving stack, with a particular focus on our planning stack or safety rated embedded MCU. In this role, you will also 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.
• Support development of either the planning stack or the embedded safety MCU
• Generate documentation and back-end tooling to improve operational efficiency

Required Skills

• Bachelor's degree in Computer Science, Software Engineering, or Robotics
• 2+ years of experience creating and executing test plans for software and hardware systems.
• 2+ years of experience working with robotics, automotive, or autonomous vehicles.
• 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

all these just repeat required skills

• Previous experience working in testing Autonomy or ADAS applications.
• Previous experience in Validation and Verification at an autonomous vehicle company.
• Previous experience testing large vehicles in defense, mining, construction, or agriculture.
• Experience with autonomous driving compute systems, sensors and communication protocols.