Tech Stack

Description

You will design, implement, test, and deploy robot perception algorithms for object detection, pose estimation, tracking, and scene understanding. This involves sensor fusion, real-time optimization, and close collaboration with hardware and autonomy teams to power Maven Robotics' general-purpose AI robots.

Requirements

• MS or PhD in machine learning, computer science, robotics, or related field
• Strong background in computer vision, deep learning, and sensor fusion
• Proficiency in Python and C++ with experience in PyTorch, TensorFlow, OpenCV, and ROS
• Hands-on experience with real-world robotics perception systems (e.g., SLAM, 3D reconstruction, multimodal perception)
• Experience with hardware setup and calibration of cameras, LiDAR, and other sensors

Responsibilities

• Develop, train, and deploy ML-based perception algorithms for object detection, pose estimation, tracking, and scene understanding
• Integrate sensor fusion using cameras, depth sensors, IMUs, and tactile feedback
• Optimize real-time perception pipelines for low-latency performance in dynamic environments
• Collaborate with hardware engineers on sensor configurations and onboard deployment
• Contribute to AI stack integration with reasoning, manipulation, planning, and control