qnx jobs in San Diego

Zoox seeks an embedded software engineer to develop, maintain, and optimize real-time embedded software for multiple platforms in autonomous vehicles. You will architect board support packages (bootloader, drivers, RTOS), build low-level frameworks and infrastructure, and collaborate with electrical and validation engineers to bring up new embedded platforms.…See more The role requires 3+ years of hands-on embedded C/C++ development for distributed electromechanical systems, strong microcontroller/microprocessor expertise, and experience with RTOS environments like FreeRTOS or QNX.

Qualcomm seeks an embedded software engineer for the Core Platform Kernel Services team to develop and maintain drivers and kernel services across multiple operating systems (QuRT OS, Windows, Linux, QNX, FreeRTOS, Zephyr) that enable IPC and system-level debug on Qualcomm SOCs. The role involves designing protocols and algorithms for critical SOC functions, debugging across hardware/OS/compiler layers, and contributing to open-source solutions.…See more The candidate will own and define roadmaps for significant IPC stack areas while working with OEMs, ODMs, and OS providers on evolving use cases.

Senior Staff Product Security Engineer responsible for security incident response, vulnerability detection and mitigation across Qualcomm products, particularly in mobile, IoT, and automotive domains. The role involves binary analysis and reverse engineering of exploits, secure code review, vulnerability assessment, security testing, and coordinating with external security researchers and customers on patch adoption and disclosure.…See more Requires 6+ years of security engineering experience with expertise in at least two areas such as binary analysis, incident response, fuzzing, malware analysis, embedded firmware security, or automotive security. Must work independently, evaluate new security tools and technologies, and communicate technical findings internally and externally.

Develop software for the Qualcomm AI Stack SDKs (QAIRT and Genie) to enable execution of generative AI models and large language models on Snapdragon platforms. You will validate, optimize, and debug machine learning inference solutions, collaborating with cross-functional teams on feature development, performance analysis, and system reliability.…See more The role requires expertise in machine learning frameworks, embedded systems optimization, programming languages like Python or C++, and low-level OS/hardware interactions.

Staff Product Manager role owning the global ADAS/Autonomous Driving and Infotainment software product roadmap for Qualcomm's SoC platforms. Responsible for defining product strategy from conception through end-of-life, analyzing business opportunities, driving execution, and leading customer engagements.…See more Requires deep expertise in ADAS/AD software development, platform software (Linux, QNX, BSP), embedded software, middleware, automotive SW development, functional safety, and image/video processing. Will lead engineering discussions at principal-engineer level on BSP, drivers, OS, RTOS, AUTOSAR, ADAS middleware, IVI solutions, AI/ML processing, and functional safety standards, while managing cross-functional stakeholders across product management, engineering, business development, marketing, finance, and sales.

Sr. Staff Software Engineer to design, develop, and optimize embedded software systems for secure government platforms, with emphasis on bootloader-to-application layers.…See more Role requires strong C/C++ and embedded systems expertise (6+ years), experience with platforms like Android, Linux, QNX, and RTOS, and ability to debug complex issues across the full software stack. Responsibilities include system integration, technical documentation, collaboration with test/systems teams, and direct customer engagement at technical exchange meetings. Ideal candidate has deep knowledge of subsystems like modem, BSP, networking, compute/AI, multimedia, or platform security.

You will develop and implement machine learning techniques for Qualcomm's AI Software Platform, focusing on the QAIRT SDK and Genie generative AI inference extensions. Responsibilities include building in-house software tools and evaluating third-party AI toolchains/compilers, performing system-level performance and memory profiling across multiple OS platforms (Android, Linux, QNX, Windows, Zephyr), validating ML model accuracy, and debugging complex issues.…See more You'll collaborate with cross-functional teams on AI software toolchains and contribute to an embedded AI stack supporting edge-AI use cases on Snapdragon SoCs.

Qualcomm seeks an embedded software engineer (0–3 years) to develop and maintain kernel drivers and services across multiple operating systems (QuRT OS, Windows, Linux, QNX, FreeRTOS, Zephyr) for system-level debug, diagnostics, and inter-process communication on Qualcomm SoCs. The role requires proficiency in C, data structures, and embedded systems, with responsibilities spanning requirements analysis, design, implementation, and testing across mobile, automotive, XR/AR, IoT, and cloud AI platforms.…See more The candidate will debug across hardware, OS, compiler, and driver layers while contributing to product innovation and optimization.

As a Platform Software Engineer in Qualcomm's Automotive group, you will design, develop, and validate embedded software, drivers, and firmware for next-generation automotive solutions including infotainment, telematics, and autonomous driving systems. You will lead development and debugging of platform software modules, collaborate with hardware and systems engineers, and interact with automotive customers to deliver requirements-compliant solutions.…See more The role requires understanding of hardware-software integration across CPU, accelerators, and standard hardware blocks, with expertise in embedded software layers such as boot, drivers, firmware, security, and safety kernels. You will work with automotive industry standards, embedded systems on ARM-based SoCs, and tools such as JTAG debugging and C programming.

As an AI Software Engineer at Qualcomm, you will develop and optimize machine learning software for the Qualcomm AI Stack (QAIRT and Genie SDKs), enabling efficient execution of large language models and deep neural networks on Snapdragon platforms. You will validate and optimize performance of generative AI models, debug complex issues, and collaborate across teams to deliver robust AI solutions.…See more The role requires strong software design, programming, and debugging skills, with expertise in machine learning frameworks, embedded systems optimization, and languages like Python or C++. You will work with minimal supervision, participate in design reviews, and contribute to a culture of technical excellence.