Perception Software Intern — Humanoid Robotics

Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.

We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. 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.

Core Responsibilities

• 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.

Required Qualifications

• 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.

Preferred Skills

• Experience with OpenCV, ROS/ROS2, or robotics simulation tools.

• Exposure to multi-sensor perception or 3D vision.

• Experience training or evaluating neural networks on real or synthetic datasets.

• Familiarity with Git, testing, and Linux-based development.

Outcome Focus
Deliver robust, real-time perception components that integrate into the full autonomy stack and improve robot reliability and situational awareness.

*This is a direct hire. Please, no outside Agency solicitations.

Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.