Autonomous Vehicle Engineer, Embedded Systems

About the Role

The Autonomous Vehicle Engineer will work on embedded systems, vehicle controls, drive-by-wire integration, and perception and localization stacks for autonomous and ADAS-enabled platforms. This is a full-time, on-site role based in Hyderabad.

Key Responsibilities

• Designing and implementing control algorithms.
• Integrating sensors such as LiDAR and cameras.
• Deploying ROS-based software components.
• Contributing to SLAM and path-planning modules.
• Hardware–software integration for PLC-based systems.
• System testing, calibration, and validation on test tracks and labs.
• Documentation of designs, test plans, and results.
• Collaborating with cross-functional teams to refine system architecture, troubleshoot issues, and enhance safety, reliability, and performance of autonomous vehicle prototypes.

Requirements & Tech Stack

• Proficiency in ROS, LiDAR, SLAM, and perception pipelines.
• Familiarity with sensor fusion, path planning, and localization algorithms.
• Experience with embedded programming (C/C++/Python).
• Experience with real-time operating systems.
• Experience with PLCs.
• Experience with CAN/automotive communication protocols.
• Exposure to ADAS, autonomous vehicles, or robotics projects.
• Experience with simulation tools (e.g., Gazebo, CARLA, MATLAB/Simulink) is an advantage.

Qualifications

• Strong foundation in Vehicle Engineering and Systems Engineering, with experience in vehicle dynamics, control systems, and system integration.
• Proficiency in Electrical Engineering and Mechanical Engineering principles relevant to embedded systems, sensors, actuators, and drive-by-wire architectures.
• Hands-on experience in Testing, including hardware-in-the-loop (HIL), software-in-the-loop (SIL), validation of ADAS/AV functionalities, and safety compliance.
• Ability to collaborate in multidisciplinary teams.
• Ability to communicate technical concepts clearly.
• Ability to document designs and test procedures thoroughly.
• Bachelor’s or Master’s degree in Automotive Engineering, Electrical Engineering, Mechanical Engineering, Robotics, or a closely related field.