Staff Software Engineer, Automated Driving Platform

Job Description

This role is based remotely but if you live within a 50-mile radius of [Mountain View, Detroit, Warren, Milford], you are expected to report to that location three times a week, at minimum. 

The Role:  

At ADAS/AD (Advanced Driver Assistance Systems and Automated Driving) Software Organization within General Motors, we are working on developing cutting-edge ADAS features for next-generation vehicles. 

We are seeking an experienced platform software engineer to design and develop platform software for ADAS embedded platform. Your expertise will help build and integrate scalable, secure, and high-performance platform software including BSP, drivers, libraries, and middleware. 

As a Staff Software Engineer, ADAS Platform, you will:  

• Embedded Linux Development: Design, configure and optimize Linux/QNX based automotive platform including bootloaders, kernel, and user-space applications. 

• Integration and Debugging: Work closely with hardware teams to debug and integrate Linux/QNX with automotive ECUs, ADAS and/or Infotainment systems. 

• Automation, DevOps, and CI/CD: Implement continuous integration, build and release and automated testing for automotive software development using Jenkins, Gitlab CI/CD, or Bazel. 

• BSP and Board Bringup: Develop and maintain Board Support Packages (BSPs) for ARM, x86, or RISC-V automotive hardware. 

• Technical Leadership: Mentor junior engineers and drive best practices for ADAS platform software development and integration. 

Additional Job Description

Your Skills & Abilities (Required Qualifications) 

• Bachelor’s or master’s degree in computer science, Software, Computer Engineering or equivalent fields. 

• 10+ years of job-related experience in software development and integration. 

• Build Frameworks and automation tools (Bazel preferred) and package management to automate build and delivery processes. 

• Strong C++ hands-on experience. 

• Hands on experience with Linux or QNX based software systems developing drivers, kernel modules, or user-space applications. 

• Experience in DevOps and CI/CD tools and processes  

• Experience in software debugging and profiling. 

• Strong computer science fundamentals in design, algorithms, and data structures. 

• Excellent cross-collaboration and critical problem-solving skills. 

• Demonstrated ability to deal with ambiguity while driving timely decision making. 

What Will Give You