About Us
Apptronik is building robots for the real world to improve human quality of life and help solve the ever-increasing labor shortage problem. Our team has been developing some of the most advanced robots on the planet for years, dating back to the DARPA Robotics Challenge. We apply our expertise across the full robotics stack to tackle some of the most important and impactful problems in society, with the expectation that our products and technology will change the world for the better.
We value passion, creativity, and collaboration to help us overcome existing technological barriers in the industry to create truly innovative products.
You will join a team developing state-of-the-art general-purpose robots designed to operate in human spaces and with human tools. These robots are designed to work alongside humans, mobilize to human spaces, and manipulate the world around them.
What to Expect
This position is expected to start in-person around May or June 2025 and continue through the entire summer (i.e., through August or September 2025). A minimum commitment of 10 weeks is required. Interns should expect to work Monday through Friday, up to 40 hours per week, typically between 9 am and 5 pm. Specific team norms around working hours will be communicated by your manager. Please consider these requirements before applying.
Requirements
- must be an MS or PhD student enrolled in an accredited program during the internship term. New graduates not enrolled in an accredited program for fall 2025 are ineligible.
- pursuing a degree in computer science, robotics, electrical engineering, mechanical engineering, aerospace engineering, or a related field.
- experience in one or more of the following areas:
- machine learning, particularly in reinforcement learning, large language models (llms), task planning, or skill chaining for autonomous robotics.
- software and algorithm development for control, planning, perception, or autonomy for humanoid robotics.
- proficient in c++ and python in a linux development environment, with prior demonstrated ability to:
- translate complex theoretical concepts and algorithms into practical, efficient, and bug-free software implementations.
- perform effectively in a fast-paced software development team using ci tools like git, adhering to rigorous documentation and testing standards.
- familiar with modern software tools and libraries relevant to robotics autonomy and task planning, including:
- robotics frameworks such as ros, ignition gazebo, pinocchio, mujoco, ompl, moveit, etc.
- machine learning frameworks like pytorch or tensorflow, with a focus on task planning and control.
- behavior tree libraries such as behaviortree.cpp or bt.cpp and relevant tools for task sequencing and autonomous behavior design.
- strong theoretical understanding in a significant subset of dynamics, control systems, estimation, reinforcement learning, behavior trees, or natural language processing as it relates to task planning in autonomous robots.
- excellent communication and documentation skills to support the clear presentation of complex ai-driven autonomy methods.
- gpa of 3.0 or above.
- experience integrating llms and task planning to support dynamic instruction parsing, context-driven behavior modifications, and real-time task sequencing.
- experience with behavior tree frameworks, leveraging them for reactive and adaptive planning in real-world, dynamic environments.
