Senior Robotics Engineer

3 days ago

Baner, Maharashtra, India Muks Robotics – The AI Robotics Company 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: 

Bachelors or Masters 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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