Robust Environment Understanding Engineer

2 weeks ago

Delhi, Delhi, India beBeePerception Full time ₹ 1,00,00,000 - ₹ 2,00,00,000
Senior Perception Engineer

We are seeking a highly skilled Senior Perception Engineer to join our innovative robotics team.

  • Develop and optimize perception algorithms to enable robust environment understanding for autonomous systems.
  • Implement advanced sensor fusion techniques integrating data from LiDAR, cameras, radar, and IMUs to improve system accuracy and reliability.
  • Design and deploy SLAM algorithms for real-time localization and mapping in complex environments.
  • Collaborate with cross-functional teams to integrate perception modules into embedded and real-time systems.
  • Utilize computer vision and machine learning techniques to enhance object detection, classification, and tracking.
  • Conduct sensor calibration and validation to ensure data accuracy and consistency across modalities.
  • Contribute to continuous improvement by researching state-of-the-art perception methods and incorporating them into product development.
  • Support software development and testing using ROS2 and other robotic middleware platforms.
  • Mentor junior engineers and contribute to technical documentation and knowledge sharing.
Required Qualifications

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

- 3 to 8 years of professional experience in perception engineering within autonomous systems or robotics.

- Proficient in programming with C++ and Python, with a strong emphasis on writing efficient, maintainable code.

- Extensive experience developing and deploying SLAM algorithms.

- Deep understanding of computer vision principles and sensor fusion methodologies.

- Hands-on experience with key sensor types including LiDAR, cameras, radar, and inertial measurement units (IMUs).

- Practical knowledge of ROS2 and its ecosystem for robot software development.

- Familiarity with deep learning frameworks such as TensorFlow or PyTorch, applied to perception challenges.

- Solid mathematical foundation in linear algebra, probability theory, optimization, and state estimation.

- Experience working with real-time systems and embedded software development is essential.

Preferred Qualifications

- Prior involvement in perception systems for autonomous vehicles or mobile robots.

- Expertise in sensor calibration techniques and procedures.

- Experience with multi-object tracking, motion prediction, and behavior modeling.

- Hands-on familiarity with Autoware or similar autonomous driving software stacks.

Core Skills

- C++ programming.

- Sensor fusion.

- SLAM and mapping.

- Computer vision and image processing.

- LiDAR and radar data processing.

- ROS2 ecosystem.

- Autonomous vehicle perception.

- Python programming.

- Machine learning applications in perception.

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