Senior Robot Perception Engineer

5+ years of experience in robotic perception, computer vision, or deep learning
Strong proficiency in Python and C++
Experience working with ROS and ROS2
Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, TensorRT)
Familiarity with object detection, semantic segmentation, and depth estimation techniques
Experience in deploying real-time AI models on embedded systems or robotics hardware
Strong debugging and optimization skills, especially in a Linux-based development environment

Own and optimize the object detection model pipeline, including: Data collection and annotation, Model training and validation, Integration into the robot codebase, Systematic testing and performance benchmarking
Conduct research and development on advanced perception and navigation capabilities, including but not limited to: Investigating and implementing NVIDIA Isaac toolkit functionalities on experimental robots, Profiling various neural networks (e.g., detection, semantic segmentation) on current and next-gen hardware, providing recommendations, Exploring visual localization and mapping techniques to assess feasibility on existing and upcoming hardware platforms, Developing depth map enhancement techniques for commodity stereo cameras
Collaborate with Computer Vision and Robotics engineers to ensure seamless integration of perception models into robotic systems
Evaluate and optimize deep learning architectures, balancing accuracy, efficiency, and real-time performance constraints
Stay up to date with the latest advancements in robotic perception, deep learning, and sensor fusion to drive innovation within the team

Familiarity with NVIDIA Isaac SDK and GPU-accelerated inference pipelines
Experience working with stereo cameras, LiDAR, and other depth sensors
Knowledge of visual SLAM, localization, and mapping techniques
Strong understanding of high-performance computing and embedded AI deployment
Passion for robotics, automation, and pushing the boundaries of what is possible