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Robotics Engineer (Intern / Entry -Level) Embodied AI & Simulation

icon building Company : Fccsingapore
icon briefcase Job Type : Internship

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Job Description - Robotics Engineer (Intern / Entry -Level) Embodied AI & Simulation

The French Chamber of Commerce in Singapore is recruiting a 

Robotics Engineer (Intern / Entry -Level)

Embodied AI & Simulation

for one of its clients transforming multimodal human behavior into structured datasets used to train next generation robotics foundation models.
The Robotics Engineer will join them at the frontier of simulation, teleoperation, and dataset generation for humanoid and mobile robots.

The Role
• Contribute to the robotics simulation architecture powering the company's data generation and training pipeline
• Work directly with the founders and research collaborators on simulation, embodiment, and teleoperation systems
• Help design and implement components that bridge simulation, human -in -the -loop systems, and large scale dataset generation
• Take ownership of well -scoped technical modules and ship production -ready code

What You’ll Work On
• Supporting and extending the robotics simulation stack across Isaac Sim and MuJoCo
• Implementing cloud -scalable simulation workflows for dataset generation
• Contributing to teleoperation and human -in -the -loop integration systems
• Assisting with multimodal dataset lifecycle (collection, validation, structuring, reproducibility)
• Supporting learning pipelines for imitation learning and reinforcement learning
• Writing clean, maintainable Python code with a production mindset

You’ll work at the intersection of robotics simulation, multimodal data workflows, deployable Embodied AI pipelines, and humanoid systems.You won’t just “assist.” You’ll build systems that directly contribute to how robots learn from human cognition at scale.


Requirements

• Background in robotics, simulation, computer graphics, ML, or related field
• Strong Python skills
• Exposure to robotics simulation environments
• Experience with PyTorch or TensorFlow
• Understanding of control, perception, or policy learning fundamentals
• Comfortable operating in ambiguity and learning quickly
• High ownership mindset and strong engineering fundamentals

Ideally the candidate will also have
• Exposure to foundation models in robotics, world modeling, VLMs or VLAs
• Experience with humanoid robotics
• ROS2 experience
• Experience with teleoperation systems
• Interest in systems that span simulation, cloud infrastructure, and ML




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