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
• 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
• Display Manager / 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)

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of Bay Area, California.

Compensation: The expected base compensation for this role is: $189000 - $240000. Actual base compensation within the identified range will vary based on factors relevant to the position.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated 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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