Job Description

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.

Job Type: Full-time

Pay: Up to ?1,498,911.84 per year

Schedule:

• Night shift
• Rotational shift

Education:

• Bachelor's (Preferred)

Experience:

• Application development: 8 years (Required)
• total work: 10 years (Required)
• ADAS: 6 years (Required)

Work Location: In person

Speak with the employer
+91 9100828592