Staff Software Engineer

Job Description We are looking for a strong C++ Software Engineer to support development of next-generation automotive UI applications. The role involves development of high-performance, safety/regulatory-focused UI features across QNX/Linux/Android-based platforms, with emphasis on scalable UI architecture, graphics rendering, and system integration.

Experience with Android UI/application development is a strong plus as the organization transitions toward Android-based UI platforms. Key Responsibilities Develop and maintain infotainment UI applications using modern C++ Work closely with System Engineering, UX, Product, and Validation teams to understand and implement requirements Debug and root-cause issues related to rendering, startup performance, power moding, IPC communication, and graphics behavior Integrate vehicle signals/services into UI applications Support feature bring-up on QNX/Linux/Android platforms Contribute to scalable and adaptive UI frameworks across multiple vehicle programs Participate in code reviews, unit testing, static code analysis, and CI/CD workflows Support performance optimization, memory analysis, and startup time improvements Collaborate with cross-functional teams during vehicle integration and milestone deliveries Required Skills Core C++ Development Strong proficiency in modern C++ (C++11/14/17) Good understanding of: Object-oriented design Multithreading STL Memory management IPC mechanisms Performance optimization Experience debugging complex issues using tools such as: GDB Valgrind Heap/Memory analyzers UI / Graphics Development Experience in one or more: Qt / QML Altia Skia OpenGL / Vulkan Embedded graphics/UI frameworks Good understanding of: Rendering pipelines Frame timing Animation handling Adaptive/responsive layouts Multi-display architecture Embedded / Automotive Platform Experience Preferred experience with: QNX Embedded Linux Android Automotive Vehicle signal integration Middleware/service-based architectures Understanding of: Power moding Startup sequencing Safety/regulatory UI requirements Automotive development lifecycle Tools & Development Workflow Experience with: Git/GitHub VS Code CI/CD pipelines Unit testing frameworks Static code analysis tools (Parasoft/Coverity/SonarQube) Jira/Agile workflows Android UI Development (Preferred / Plus) Experience in any of the following is a strong plus: Android application/UI development Android Automotive OS (AAOS) Kotlin/Java Jetpack Compose Android rendering/performance debugging Android services and IPC DisplayManager / Surface handling Preferred Qualities Strong debugging and problem-solving skills Ability to work in fast-paced milestone-driven environment Good communication and cross-functional collaboration Ability to understand complex system requirements and convert them into scalable implementations Self-driven with ownership mindset Interest in AI-assisted development workflows and modern developer productivity tools Nice to Have Experience with GoLang services Knowledge of graphics compositors (Wayland/Weston) Experience with Android/Linux mixed rendering architectures Exposure to AI-assisted development tools (GitHub Copilot, AI agents, log analysis tools) Automotive Cluster/HUD experience Experience or familiarity with Altia Studio and/or Qt Creator editor workflows Familiarity with CAN/CAN FD vehicle networks and vehicle signal communication Understanding of automotive communication protocols and diagnostics concepts Exposure to SOME/IP, Ethernet-based communication, or middleware/service-oriented architectures is a plus Example Technologies C++, Qt/QML, Kotlin, Altia, Skia OpenGL/Vulkan QNX, Linux, Android Automotive GitHub Actions, SonarQube, Parasoft VS Code, Copilot GoLang (optional) 



This role is categorized as remote.

This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

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