Software Integration Engineer, Validation
At a glance
Mid-level Software Engineering role at PlusAI. San Antonio · full-time · $125,000–$150,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Plan and run closed-course tests of autonomous vehicles, then carry out test cases against release milestones
- Build V&V plans and requirement-based test matrices to check autonomy software on vehicles
- Use Linux, ROS, sensors, actuators and log data to find and investigate software faults
- Work with engineers to choose tests for autonomy components and report failures to management
- Triage AV stack issues and create documentation and backend tools that improve operations
What you bring
- You have experience designing and carrying out tests for software and hardware systems
- You can debug system behavior with Linux, ROS, C++ and Python, including failures linked to hardware sensors
- You can program in Python, C++ and bash
- You have a background in computer science, software engineering, robotics or autonomous vehicles
Who this fits
This mid-level role suits someone who wants hands-on validation work across autonomy software and vehicle testing. You’ll work with engineering and operations teams, and travel to test sites near San Antonio and elsewhere in the country.
From the employer
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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