As a Software Engineering Intern on the Autonomy team at Apptronik, you will contribute to the development of mission-level autonomy systems that enable humanoid robots to operate safely and intelligently in real-world human environments. You will work alongside experienced autonomy, controls, and learning engineers to help build, test, and deploy software that coordinates robot behaviors across perception, navigation, manipulation, and control systems.

This internship offers hands-on experience working with real humanoid robots and high-fidelity simulation, providing exposure to modern robotics software practices and learning-based autonomy systems.

Core Responsibilities

• Assist in developing and maintaining autonomy software components for humanoid robots.
• Implement and test behavior execution, coordination, and monitoring logic within the autonomy stack.
• Support integration of autonomy software with perception, navigation, manipulation, and control systems.
• Write clean, well-documented C++ and Python code under guidance from senior engineers.
• Develop tools or utilities for logging, debugging, visualization, or evaluation of autonomy behavior.
• Help validate autonomy features in simulation and on physical robots.
• Participate in code reviews, design discussions, and technical planning sessions.
• Contribute to improving software quality, reliability, and test coverage.

Required Qualifications

• Currently pursuing a BS, MS, or PhD in Computer Science, Robotics, Computer Engineering, or a related field.
• Strong programming fundamentals in C++ and/or Python.
• Basic understanding of robotics or autonomous systems concepts.
• Familiarity with Linux development environments.
• Ability to learn quickly, work collaboratively, and take ownership of well-defined tasks.
• Strong problem-solving skills and attention to detail.

Preferred Skills

• Prior experience with robotics software, simulations, or autonomous systems.
• Familiarity with ROS or ROS 2.
• Exposure to learning-based robotics, reinforcement learning, or control systems.
• Experience working with state machines, behavior logic, or real-time systems.
• Comfort using version control systems (e.g., Git).
• Experience with simulation tools (e.g., Gazebo, Isaac Sim, MuJoCo).
• Interest in humanoid robots and real-world deployment challenges.