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Physical AI Research Engineer

insol-high • Japan
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Design and develop Physical AI systems for humanoid robotic platforms, focusing on Vision-Language-Action models and embodied intelligence. Build and evaluate sim-to-real pipelines to transition robust AI systems from simulation to real-world deployment. Requires strong proficiency in Python, PyTorch, and deep learning with a background in robotics or AI.

Key Highlights
Focus on Vision-Language-Action (VLA) models and embodied intelligence for humanoid robotics
Develop and maintain sim-to-real pipelines for real-world deployment
Research-driven role with opportunities for publications and open-source contributions
Key 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
Technical Skills Required
Python PyTorch Deep Learning
Benefits & Perks
Visa sponsorship
Long-term employment support
Stock option grants
Nice to Have
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

Job Description

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

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