Real-Time Robotics Software Intern — C++/Python Focus

Apptronik Systems, Inc.; Austin (TX); On-site; USD 60,000 - 80,000; Full time

Job summary

Apptronik Systems, Inc. is seeking a Robotics Software Intern for Real-Time Controls in Austin, TX. The intern will contribute to the development of software enabling our humanoid robot Apollo to navigate and interact with its environment. Responsibilities include software module development and testing, sensor data integration, and performance analysis in a collaborative team environment.

This is an excellent opportunity for students pursuing degrees in Robotics, Computer Science, or related fields to gain hands-on experience in cutting-edge embodied AI applications.

Qualifications

• Basic understanding of Modern C++ including classes and memory management.
• Proficient in Python for data tasks.
• Solid understanding of Newtonian physics and linear algebra.
• Familiarity with actuators, encoders, and IMUs.

Responsibilities

• Develop and test real-time C++ software modules.
• Integrate sensor data into core control loops.
• Validate mathematical models for robot limb positioning.
• Gather performance data from hardware and simulations.
• Write unit tests and maintain documentation.

Skills

Foundational C++

Scripting

Physics & Math Foundations

Robotics Basics

Development Tools

Collaborative Mindset

Education

BS, MS, or PhD in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field

Tools

Git

Linux

Job description

Apptronik Systems, Inc. is seeking a Robotics Software Intern for Real-Time Controls in Austin, TX. The intern will contribute to the development of software enabling our humanoid robot Apollo to navigate and interact with its environment. Responsibilities include software module development and testing, sensor data integration, and performance analysis in a collaborative team environment.

This is an excellent opportunity for students pursuing degrees in Robotics, Computer Science, or related fields to gain hands-on experience in cutting-edge embodied AI applications.