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.… 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.
qnx jobs in San Diego
Sr. Staff Software Engineer to design, develop, and optimize embedded software systems for secure government platforms, with emphasis on bootloader-to-application layers.… 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.… 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.… 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.… 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.… 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.