We are looking for a skilled Senior Robotics Engineer (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
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