Physical AI Research Engineer

NSOL-HIGH is seeking a Physical AI Research Engineer to contribute to advanced research and development in humanoid robotics and embodied intelligence.

This role focuses on the design and implementation of learning-based systems that connect perception, language, and action in physical robotic platforms. The position is research-driven, with an emphasis on building robust AI systems that can transition effectively from simulation to the real world.

Responsibilities

• Design and develop Physical AI systems for humanoid robotic platforms
• Conduct research in Vision–Language–Action (VLA) models and embodied intelligence
• Develop, maintain, and evaluate sim-to-real pipelines for real-world deployment
• Work with robotic simulation environments and real-world experimental setups
• Contribute to experimental design, internal research documentation, and technical reports

Requirements

• University degree in robotics, computer science, artificial intelligence, or a related field
• Strong programming skills in Python
• Experience implementing and training deep learning models using PyTorch
• Solid foundation in machine learning, robotics, or embodied AI
• Experience or strong interest in VLA models, reinforcement learning, or sim-to-real transfer
• Experience working in a Linux-based development environment
• Ability to work independently in a research-oriented environment
• Professional working proficiency in English

Preferred Qualifications

• Experience with robotic simulators such as NVIDIA Isaac and/or MuJoCo
• Hands-on experience with real-world robotic systems or simulation-based research
• Research experience demonstrated through projects, publications, or open-source contributions
• Japanese language skills

What We Offer

• Opportunity to work on cutting-edge Physical AI research with real-world applications
• An international research environment based in Japan
• Visa sponsorship and long-term employment support
• Stock option grants