Robotics Engineer

Job Title : Robotics Engineer

Location : [Pune]

Type : Full-Time | [On-site/Hybrid]

Experience Level : [Mid/Senior-level]

Industry : Robotics / Autonomous Systems / AI

Job Description :

We are seeking a highly skilled and passionate Robotics Engineer to join our dynamic team of innovators in the field of autonomous systems. This role is ideal for professionals who are driven by a desire to build robust and intelligent robotic solutions for real-world applications. As a Robotics Engineer, you will be involved in designing, developing, and deploying advanced perception and control systems that power next-generation robotic platforms.

Key Responsibilities :

- Design and develop robust perception algorithms using OpenCV, PCL, and deep learning frameworks such as PyTorch.

- Implement tracking-by-detection pipelines, sensor fusion, and object tracking algorithms in real-time environments.

- Perform sensor calibration, including extrinsic and intrinsic calibration of LiDARs (e.g., Velodyne, Ouster), 3D cameras (e.g., ZED, Intel RealSense), and IMUs.

- Process and analyze point cloud data from multiple sensors to build accurate 3D representations of the environment.

- Integrate and test software modules on robotic hardware using ROS/ROS2 and ensure smooth communication between various subsystems.

- Deploy optimized inference pipelines using TensorRT and other tools for real-time perception tasks.

- Collaborate closely with cross-functional teams including hardware, mechanical, and embedded software engineers to ensure seamless integration.

- Contribute to system-level design reviews and participate in architecture planning.

- Provide technical leadership and mentorship to junior engineers, while maintaining effective documentation and communication.

- Stay up to date with the latest trends in ADAS (Advanced Driver Assistance Systems) and autonomous navigation technologies.

Required Skills & Experience :

- Strong programming skills in Python and C/C++.

- In-depth experience with OpenCV, Point Cloud Library (PCL), and PyTorch for computer vision and deep learning applications.

- Hands-on experience working with LiDARs, depth cameras, and other sensors commonly used in robotic systems.

- Proficiency in developing and optimizing real-time pipelines using TensorRT or equivalent libraries.

- Demonstrated ability to handle tasks such as sensor calibration, object tracking, and point cloud processing.

- Solid understanding and practical use of ROS/ROS2, with experience in developing custom nodes and launching multi-sensor configurations.

- Exposure to ADAS concepts including obstacle detection, forward collision warnings, and sensor fusion strategies.

- Excellent problem-solving skills, strong communication abilities, and a collaborative mindset.

Preferred Qualifications :

- Experience with robotic platforms such as mobile robots, drones, or autonomous vehicles.

- Knowledge of SLAM, path planning, or control algorithms.

- Contributions to open-source robotics projects or published research papers in related fields.

- Experience working in agile development environments with tools like Git, CI/CD, and containerization (Docker).