Software Integration Engineer, Validation
Full time · Posted 22D AGO
USD 125,000–150,000
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
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Lead planning and execution of closed-course autonomous vehicle system testing.
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Create V&V plans and develop test matrix based on product requirements to thoroughly test autonomy software on-vehicle.
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Identify, diagnose, and troubleshoot software errors, including working with Linux, ROS, sensors, actuators, and various log data.
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Work with engineers to determine how to test different parts of the autonomy stack and report back test failures to management.
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Organize and execute field testing to test autonomy software on-vehicle in various environments including closed course.
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Execute the test cases based on release milestones.
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Dive deep and support triaging issues of various components of the AV stack
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Generate documentation and back-end tooling to improve operational efficiency
Required Skills
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Skills in Computer Science, Software Engineering, Robotics or AV
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Experience creating and executing test plans for software and hardware systems.
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Experience debugging system behaviors in Linux, ROS, C++, and Python, and identifying software failures caused by hardware sensors.
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Programming skills in Python, C++, bash
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Willingness to travel to test sites near San Antonio, Texas and around the country.
Preferred Skills
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Experience working in testing Autonomy or ADAS applications.
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Previous experience testing large vehicles in defense, mining, construction, or agriculture.
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Experience with autonomous driving compute systems, sensors and communication protocols.
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