Software Embedded 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.

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:

BSc or MSc in Electrical Engineering, Computer Engineering, Computer Science, or related field
5+ years of experience in firmware/embedded development
Proficiency in C/C++ for embedded systems
Experience with RTOS or bare-metal firmware development
Strong debugging skills using tools like JTAG, oscilloscopes, and logic analyzers
Familiarity with I2C, SPI, UART, USB, and other low-level protocols
Experience with version control systems (e.g., Git)

Preferred (Advantageous) Qualifications:

Experience with Linux kernel development, including writing or modifying kernel drivers
Familiarity with camera/image sensor interfaces (e.g., MIPI CSI)
Knowledge of depth sensing, computer vision, or 3D imaging technologies
Experience with ARM Cortex-M or Cortex-A architectures
Exposure to CI/CD pipelines and automated testing frameworks
Contributions to open-source embedded or Linux kernel projects