Education: BE/ME - CSE/EEE/ECE or equivalent

Required Qualifications

- Bachelor s or Master s degree in Computer Science, Robotics, Electrical Engineering, or related fields.
- 5+ years of experience in ADAS, robotics, or autonomous driving development.
- Proficiency in programming languages such as C++, Python, or MATLAB.
- Hands-on experience with perception tools and libraries (e.g., OpenCV, ROS, PCL).
- Strong understanding of path planning algorithms (A*, RRT, MPC) and decision-making frameworks.
- Experience with sensor fusion techniques and working with LiDAR, radar, and camera systems.

Preferred Skills

- Familiarity with deep learning frameworks (TensorFlow, PyTorch) for perception and decision-making.
- Knowledg of automotive communication protocols (CAN, Ethernet) and middleware (ROS2, DDS).
- Experience with simulation platforms (CARLA, Gazebo, or PreScan).
- Understanding of functional safety and standards like ISO 26262 and SOTIF.
- Strong problem-solving skills and ability to work in fast-paced environments.

Key Responsibilities

Perception Development

- Develop and optimize algorithms for sensor fusion, object detection, classification, and tracking using data from cameras, LiDAR, radar, and other sensors.
- Design perception pipelines to handle dynamic environments, ensuring accurate environmental understanding.
- Implement real-time processing for sensor data and improve robustness under diverse driving conditions.

Behavior and Decision-Making





- Develop behavior planning algorithms for protected and efficient navigation in complex scenarios such as intersections, lane changes, and obstacle avoidance.
- Implement decision-making frameworks using techniques such as rule-based systems, machine learning, or reinforcement learning.
- Ensure compliance with driving policies, safety standards, and local traffic laws in algorithm design.

Trajectory Planning

- Design algorithms for trajectory generation, optimization, and execution that meet safety, comfort, and efficiency criteria.
- Integrate planned trajectories with vehicle control systems to ensure smooth driving performance.
- Optimize motion planning for real-time performance and scalability.

Testing and Validation

- Develop simulation scenarios to test and validate planning and perception algorithms under various conditions.
- Conduct on-road testing to refine algorithms and ensure robustness in real-world environments.
- Collaborate with testing teams to ensure ADAS features meet functional safety standards (e.g., ISO 26262).

Collaboration and Integration

- Work closely with sensor, control, and software engineering teams to ensure seamless integration of ADAS modules.
- Collaborate with cross-functional teams to align on system-level requirements and design.
- Contribute to software architecture and system design for modularity and scalability.

📌 ADAS Developer (Bengaluru)
🏢 Embitel Technologies
📍 Bengaluru