Senior Robotics Engineer

23 hours ago

Baner, Maharashtra, India Muks Robotics Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title: Senior Robotics Engineer

Location: Pune, Maharashtra

Company: Muks Robotics AI Pvt. Ltd.

Company website: 

Experience: years

About the Role:

We are looking for a skilled Senior Robotics Engineer to design, build, and deploy real-time perception and mapping systems for our autonomous robotic platforms. You will be at the center of developing robust algorithms for accurate localization, dense 3D reconstruction, and 2D/3D autonomous navigation in complex environments. 

Key Responsibilities: 

● Architect, implement, and optimize real-time and multi-sensor SLAM algorithms for accurate localization and mapping. 

● Develop and optimize visual odometry, feature tracking, loop closure, and bundle adjustment pipelines. 

● Design and integrate multi-sensor fusion pipelines (LiDAR, cameras, IMUs, wheel odometry) to enhance system robustness and accuracy. 

● Build scalable navigation and motion planning frameworks that enable reliable autonomous operation in diverse terrains. 

● Conduct extensive testing, benchmarking, and field deployment to evaluate and improve system performance under real-world conditions . 

● Collaborate directly with hardware and software teams to integrate and optimize algorithms for embedded and edge computing platforms. 

● Document system architecture, algorithm design, and experimental results. 

Required Qualifications: 

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

● years of hands-on experience in robotics software development with a focus on SLAM, perception, or navigation. 

● Strong proficiency in C++ and Python within the ROS/ROS2 ecosystem. 

● Solid understanding of SLAM concepts: visual odometry, keyframe selection, feature extraction, loop closure, and bundle adjustment. 

● Practical experience with sensor fusion, particularly visual-inertial (VIO) systems. 

● Hands-on experience deploying and debugging SLAM solutions on real-world robotic systems. 

● Familiarity with computer vision and robotics libraries (e.g., OpenCV, PCL, Eigen, GTSAM). 

● Strong problem-solving skills and the ability to tackle complex perception challenges. 

Preferred Skills & Experience:

● Experience leveraging GPU acceleration (CUDA, TensorRT) and embedded platforms (NVIDIA Jetson) for performance optimization. 

● Familiarity with NVIDIA Isaac ROS/Isaac Sim or similar simulation and deployment frameworks. 

● Knowledge of deep learning-based approaches for visual odometry or monocular depth estimation. 

● Experience with 3D reconstruction and mapping frameworks (e.g., RTAB-Map, FAST-LIO, nvblox, Open3D). 

● Contributions to open-source SLAM projects (e.g., ORB-SLAM, VINS-Mono).

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