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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.

• 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

• 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

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

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

Experience with:
Git/GitHub
VS Code
CI/CD pipelines
Unit testing frameworks
Static code analysis tools (Parasoft/Coverity/SonarQube)
Jira/Agile workflows

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

• 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

• 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

• C++, Qt/QML, Kotlin, Altia, Skia
• OpenGL/Vulkan
• QNX, Linux, Android Automotive
• GitHub Actions, SonarQube, Parasoft
• VS Code, Copilot
• GoLang (optional)

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