Linux Kernel Engineer

RealSense delivers industry-leading depth cameras and vision technology used in autonomous mobile robots, humanoids, access control, industrial automation, healthcare and more. With a mission to deliver world class perception systems for Physical AI and safely integrate robotics and AI into everyday life, RealSense provides intelligent, secure and reliable vision systems that help machines navigate and interact with the human world.

In this role you will be responsible for developing and optimizing low-level software and firmware for cutting-edge depth sensing, computer vision, robotics and AI technologies. You will work closely with hardware, software, and algorithm teams to bring innovative sensing solutions to life.

Location - We work 4 days a week in our Haifa site

Key Responsibilities:

Design, develop, and debug embedded firmware for RealSense depth and vision products
Collaborate with hardware engineers to bring up new platforms and sensors
Implement and optimize drivers and middleware for real-time performance
Conduct system-level debugging and performance tuning
Support firmware integration with host-side software stacks
Participate in code reviews, documentation, and continuous integration processes

Job Requirements:

Extensive experience in Linux kernel development, including writing, debugging, and maintaining device drivers.
Proficiency in C/C++ programming and understanding of kernel architecture and subsystems is crucial.
Proficiency in programming tools such as git, shell scripting and gcc compiler.
Experience with debugging tools and techniques specific to Linux environments, such as KGDB, strace, kdump and kernel tracing tools.
Good understanding of the Linux community and kernel development process

Preferred (Advantageous) Qualifications:

Demonstrated expertise in developing and optimizing device drivers specifically for Nvidia Jetson Xavier and Orin platforms. Familiarity with the unique hardware features and capabilities of these platform.
Experience in collaborating with the Linux community for upstream development.
Expertise in V4L module for camera streaming and integration.