[Uni - Jan till Jun 2027] Robotics and Physical AI Engineer Intern

As a Robotics and Physical AI Engineer Intern, you will be involved in cutting-edge deep tech development of robotics and physical AI systems that mimic human movement and behavior. You'll contribute to building advanced humanoid robotic systems through hands-on work across the full project lifecycle—from planning and simulation to deployment and maintenance. This is an opportunity to work on real-world applications that bridge high-level AI reasoning with physical motor control, bringing intelligent robots to life.
Intern's Job Scope
You will work across various subsystems of robotics and physical AI, with responsibilities including:
Simulation & Environment Development
Design 3D training environments (homes, factories, stairs) using NVIDIA Isaac Sim, Gazebo, or Unity
Build and validate robot behaviors in high-fidelity simulation environments before physical deployment
Create simulation-ready meshes using CAD software (SolidWorks, Autodesk Fusion 360, Blender)
Implement 3D sensor models (LiDAR, depth cameras, IMUs) with realistic noise profiles
Generate synthetic data and apply domain randomization techniques
Control & Locomotion
Develop algorithms for stable bipedal walking, balancing, and recovery from disturbances
Apply reinforcement learning (RL) and whole-body control strategies
Refine forward and inverse kinematics for human-like movement with high degrees of freedom
Author and maintain robot description files (URDF & SDFormat) defining kinematics, joint limits, and inertial properties
AI Integration & Safety
Bridge high-level AI (vision-language models) with physical motor control
Implement robust safety and fallback systems to prevent physical damage or injury when AI models behave unpredictably
Develop platform orchestration layers managing communication between AI reasoning and motor control with low latency
Hardware-Software Integration
Collaborate with mechanical and electrical teams to integrate sensors and actuators using ROS 2
Maintain digital twin synchronization between 3D simulation models and physical hardware
Design and maintain APIs for subsystem integration
Work with projective geometry, coordinate transforms (TF2 in ROS), and mesh format conversions (STL, OBJ, USD, Collada)
Software Engineering & Testing
Emphasize code maintainability, version control (Git), and CI/CD pipelines
Design monitoring tools and fail-safe layers
Work with containerization (Docker) for consistent software deployment
Develop test frameworks for system validation
Currently pursuing a Bachelor's degree in:
Robotics
Artificial Intelligence
Computer Science
Product Development
Electrical and Electronic Engineering (EEE)
Mechanical Engineering (ME)
Related fields
Able to commit to a minimum of 6 months full-time internship
Technical Skills (At least 2 competencies required)
AI/ML Frameworks: Experience with reinforcement learning and imitation learning
Programming: Proficiency in Python (model training) and/or C++ (real-time system integration)
Robotics Middleware: Knowledge of ROS/ROS 2 for integrating AI with sensors and actuators
Computer Vision: Skills in 3D scene reconstruction, object detection, spatial reasoning, OpenCV, CUDA, and TensorRT
Embedded Systems: Understanding of Linux-based edge computing, GPU acceleration (CUDA), and real-time data transport protocols
Simulation Tools: Familiarity with physics engines (MuJoCo, PhysX), VR/metaverse platforms (Unity), or CAD software (SolidWorks)
Operating Systems: Linux (Ubuntu) and/or real-time operating systems (RTOS)
Containerization: Experience with Docker
Mathematics: Understanding of projective geometry and coordinate transforms
Hardware Acceleration: Experience with NVIDIA Jetson/Thor or similar edge devices

Employment type
Intern

Work arrangement
No