Software Integration Engineer
San Antonio, Texas
US Research and Development – Motion Planning /
Full-time /
Remote
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PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
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.
$125,000 - $175,000 a year
Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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