Slam Engineer

Job Title: Slam Engineer

Location: Pune, Maharashtra

Company: Muks Robotics AI Pvt. Ltd.

Company website: https://muksrobotics.com

Experience: 3+ years

About the Role:

We are looking for a skilled SLAM and Navigation 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.

● 3+ 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).

What We Offer:

● Opportunity to work on futuristic robotics technologies.

● A collaborative and innovative work environment.

● Growth opportunities in a rapidly expanding tech company.

● Competitive salary and performance-based incentives.

Job Type: Full-time

Work Location: In person