Staff Linux Kernel Driver Engineer - PCIe & DMA

QUALCOMM, Inc.; San Diego (CA); On-site; USD 141,000 - 212,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking a Linux device driver engineer to join the Cloud AI team in San Diego. You will develop and extend Linux kernel driver code for PCIe device setup, firmware loading, MHI bus, DMABUF importation, and DMA transfers.

Familiarity with SoC bus subsystems, DMA, PCIe and peripheral synchronization will be beneficial as you collaborate on low-level software in a structured environment and contribute to high-performance AI workloads.

Qualifications

• Experience with Linux kernel driver development, kernel modules, sysfs and debugging techniques.
• Experience with development in C.
• Experience with git.
• Willingness to work in a structured software development environment.
• Ability to work on low-level implementation (code & test).
• Education matching listed degree paths with relevant software experience.

Responsibilities

• Develop and extend Linux kernel driver code for PCIe devices.
• Handle PCIe device setup, firmware loading, MHI bus, DMABUF importation, and DMA transfers.
• Collaborate in a structured software environment and contribute to high-performance AI workloads.
• Engage with SoC subsystems, DMA, PCIe, and peripheral synchronization.

Skills

Linux kernel driver development

C programming

Kernel debugging

Git

Low-level implementation

Education

Bachelor's degree in Engineering, Information Systems, Computer Science

Master's degree in Engineering, Information Systems, Computer Science

PhD in Engineering, Information Systems, Computer Science

Tools

DKMS

DEB packaging

RPM packaging

PCIe debugging tools

Job description

Qualcomm Technologies, Inc. is seeking a Linux device driver engineer to join the Cloud AI team in San Diego. You will develop and extend Linux kernel driver code for PCIe device setup, firmware loading, MHI bus, DMABUF importation, and DMA transfers.

Familiarity with SoC bus subsystems, DMA, PCIe and peripheral synchronization will be beneficial as you collaborate on low-level software in a structured environment and contribute to high-performance AI workloads.