Perception Software Intern, Apptronik

• Currently pursuing a BS, MS, or PhD in Computer Science, Robotics, Computer Engineering, or a related field
• Coursework or project experience in computer vision, robotics, or machine learning
• Experience with Python and/or C++
• Familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, JAX)
• Basic understanding of computer vision concepts (detection, segmentation, geometry)
• Ability to work effectively in a collaborative engineering environment

Desirable

• You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better
• As a Perception Software Engineering Intern at Apptronik, you will work alongside senior engineers and researchers to develop perception systems that enable humanoid robots to understand and interact with real-world human environments
• You will contribute to components spanning object detection, tracking, segmentation, and multi-sensor perception, supporting robust autonomy in dynamic settings
• This role provides hands-on experience applying modern computer vision and deep learning techniques to real robotic platforms
• You will help build and evaluate perception pipelines, integrate data from multiple sensors, and validate performance in simulation and on hardware
• Your work will directly support humanoid navigation, manipulation, and human-robot interaction
• Assist in developing and testing perception pipelines for humanoid robots, including object detection, segmentation, tracking, and pose estimation
• Implement and evaluate deep learning models for real-time vision and 3D perception tasks
• Support multi-sensor data processing and fusion using cameras, depth sensors, LiDAR, and IMUs
• Contribute to data collection, dataset curation, labeling, and performance evaluation workflows
• Help integrate perception modules with navigation, manipulation, and control systems
• Profile and debug perception components to improve latency, accuracy, and robustness
• Validate perception algorithms in simulation environments and on physical robots
• Collaborate with cross-functional teams and follow best practices in software development and experimentation