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
We are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity—and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.
Together, we make the extraordinary happen.
Learn more about us at ncs.co and visit our LinkedIn career site.
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