Staff Software Engineer

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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