Staff Software Engineer
Role details
Job location
Tech stack
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., * 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, 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}.
Requirements
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)
Benefits & conditions
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.