Software Integration Engineer

Plusai; Austin (TX); On-site; USD 125,000 - 175,000; Full time

Benefits offered by this job

Catered free lunch

401(k) plan

Development opportunities

Job summary

PlusAI is seeking an experienced software integration engineer to lead Validation & Verification for our autonomous driving stack. You will conduct hands-on testing, focusing on planning or embedded MCU, and collaborate with engineering to develop closed-course testing programs.

You will create end-to-end test plans, run test matrices, diagnose failures using Linux/ROS/C/C++, and generate tooling to improve efficiency. Travel to test sites will be required as needed.

Qualifications

• 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.

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.

Skills

Test planning

Robotics/autonomous vehicles

Linux debugging

ROS

C++

Python

Bash

Travel willingness

Education

Bachelor's degree in CS/Software Engineering/Robotics

Job description

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

Benefits

• Catered free lunch, unlimited snacks and beverages.
• Highly competitive salary and benefits package, including 401(k) plan.
• Your opportunities joining PlusAIWorkWork, 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.