Embedded Systems Engineer - Robotics Applications (3-8 yrs)

Location : Onsite, Chennai (Work from Office)

Juniors : 3 plus years

senior : 5 to 8 years

NP : 30days

Job Responsibilities :

- Design, develop, and maintain embedded systems for robotics applications.

- Collaborate with multidisciplinary teams (hardware, software, and AI engineers) to integrate sensors, actuators, and cameras for robotic systems.

- Develop and optimize software and firmware for embedded systems, focusing on real-time performance.

- Work with embedded platforms such as ARM, Raspberry Pi, or NVIDIA Jetson for robotics applications.

- Integrate camera sensors, depth sensors (LIDAR, ToF, etc.), and other peripherals to support computer vision tasks.

- Implement and enhance computer vision algorithms, such as object detection and SLAM (Simultaneous Localization and Mapping), to improve robot perception.

- Perform testing and debugging of hardware and software, ensuring seamless integration and performance in real-world robotic environments.

- Optimize algorithms for efficiency and performance in constrained embedded systems.

- Stay updated with the latest developments in robotics, computer vision, and embedded systems technologies.

Required Skills and Qualifications :

- Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field.

- 3+ years of experience in embedded systems development, particularly in robotics and computer vision.

- Proficiency in C, C++, or Python for embedded programming.

- Experience with real-time operating systems (RTOS) and multi-threaded programming.

- Hands-on experience with robotics platforms (e.g., ROS, Robot Operating System) and embedded robotics development tools.

- Strong understanding of computer vision concepts (e.g., OpenCV, TensorFlow, PyTorch).

- Experience with hardware interfaces such as SPI, I2C, UART, CAN, and GPIO.

- Familiarity with robotics sensors (e.g., LiDAR, cameras, IMUs, encoders) and actuator control.

- Knowledge of 3D vision and depth sensing technologies (e.g., stereo cameras, structured light).

- Excellent debugging and problem-solving skills, with the ability to optimize code and troubleshoot hardware/software interactions.

- Strong communication skills and the ability to work in a collaborative, fast-paced environment.

Preferred Qualifications :

- Familiarity with NVIDIA Jetson platforms or similar embedded AI systems for robotics applications.

- Experience with motion control and robotic kinematics.

- Knowledge of cloud-based robotics solutions and IoT integration.

- Familiarity with Git version control and agile development methodologies.