Embedded Application Developer - ADAS

We are seeking an experienced Embedded Application Developer with expertise in software development for automotive applications, specifically in the ADAS domain. The ideal candidate will have hands-on experience working with embedded software, C/C++, OpenCV, and Linux platforms, along with a strong understanding of ADAS camera sensors, distance estimation algorithms, and AI-driven image processing.

Skills & Competencies:

• Strong expertise in C/C++ programming and embedded systems.
• Hands-on experience with OpenCV for image processing and computer vision tasks.
• Proficient in Linux-based systems, especially NVIDIA embedded Linux platforms.
• Solid understanding of ADAS, automotive imaging, and related technologies.
• Familiarity with communication protocols like CAN, Ethernet, and automotive-specific networking standards.
• Experience with version control tools (GitHub), debugging tools (GDB), and build systems (Makefile, CMake).
• Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.

Responsibilities:

• Embedded Software Development: Develop and optimize software applications using C/C++ and OpenCV for automotive systems, specifically within the ADAS domain.
• ADAS Camera Sensor Integration: Customize and develop algorithms for distance estimation and sensor fusion leveraging ADAS camera data.
• Linux Development: Work with NVIDIA Embedded Linux platforms.
• Communication Protocols: Implement and optimize communication protocols such as CAN, Ethernet, and other automotive networking standards.
• GPU Platform Porting: Port and optimize x86 host software to NVIDIA GPU platforms for enhanced performance and efficiency.
• HIL Setup: Set up Hardware-in-the-Loop (HIL) environments, including protocols for ECU flashing and testing.

Preferred Qualifications:

• Master s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.