CadillacPosted 3 weeks ago

Staff Software Engineer

CadillacPosted 3 weeks ago

$189,000–$240,000 year

HybridAustin, Texas, United States or Mountain View Santa Clara County, California, United States

Austin, Texas, United States or Mountain View Santa Clara County, California, United StatesHybridFull Time$189,000–$240,000 yearSenior LevelTRANSPORTATIONMedium

Full TimeSenior LevelMediumTRANSPORTATION

Job Summary

Develop and maintain infotainment UI applications using modern C++ across QNX/Linux/Android platforms, integrating vehicle signals and services while collaborating with System Engineering, UX, and Validation teams. Debug root-cause issues related to rendering, startup performance, power moding, and IPC communication, contributing to scalable frameworks and performance optimization through unit testing and static code analysis. Support feature bring-up and milestone deliveries within a hybrid work environment, with expected base compensation of $189,000–$240,000.

Required Qualifications

Core C++ Development
Strong proficiency in modern C++ (C++11/14/17)
Good understanding of: Object-oriented design
Good understanding of: Multithreading
Good understanding of: STL
Good understanding of: Memory management
Good understanding of: IPC mechanisms
Good understanding of: Performance optimization
Experience debugging complex issues using tools such as: GDB
Experience debugging complex issues using tools such as: Valgrind
Experience debugging complex issues using tools such as: Heap/Memory analyzers
UI / Graphics Development
Experience in one or more: Qt
Experience in one or more: QML
Experience in one or more: Altia
Experience in one or more: Skia
Experience in one or more: OpenGL
Experience in one or more: Vulkan
Embedded graphics/UI frameworks
Good understanding of: Rendering pipelines
Good understanding of: Frame timing
Good understanding of: Animation handling
Good understanding of: Adaptive/responsive layouts
Good understanding of: Multi-display architecture
Embedded / Automotive Platform
Preferred experience with: QNX
Preferred experience with: Embedded Linux
Vehicle signal integration
Middleware/service-based architectures
Understanding of: Power moding
Understanding of: Startup sequencing
Understanding of: Safety/regulatory UI requirements
Automotive development lifecycle
Experience with: Git/GitHub
Experience with: VS Code
Experience with: CI/CD pipelines
Unit testing frameworks
Static code analysis tools (Parasoft/Coverity/SonarQube)
Jira/Agile workflows
Experience with: Android application/UI development
Experience with: Android Automotive OS (AAOS)
Experience with: Kotlin/Java
Experience with: Jetpack Compose
Experience with: Android rendering/performance debugging
Experience with: Android services and IPC
Experience with: Display Manager / 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
This role is categorized as hybrid
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 may be eligible for relocation benefits

Desired Qualifications

Experience with: Android application/UI development
Experience with: Android Automotive OS (AAOS)
Experience with: Kotlin/Java
Experience with: Jetpack Compose
Experience with: Android rendering/performance debugging
Experience with: Android services and IPC
Experience with: Display Manager / Surface handling
Preferred experience with: QNX
Preferred experience with: Embedded Linux
Vehicle signal integration
Middleware/service-based architectures
Understanding of: Power moding
Understanding of: Startup sequencing
Understanding of: Safety/regulatory UI requirements
Automotive development lifecycle
Experience with: Git/GitHub
Experience with: VS Code
Experience with: CI/CD pipelines
Unit testing frameworks
Static code analysis tools (Parasoft/Coverity/SonarQube)
Jira/Agile workflows
Experience with: Android application/UI development
Experience with: Android Automotive OS (AAOS)
Experience with: Kotlin/Java
Experience with: Jetpack Compose
Experience with: Android rendering/performance debugging
Experience with: Android services and IPC
Experience with: Display Manager / 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

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