Entry Level Qt Software Engineer Jobs in Austin, TX

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.

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