Physical AI lead Consultant or Senior Consultant

Job Description

Appealing points: 

• Opportunity to work on cutting-edge Physical AI (VLA models) and robotics, covering the full pipeline from simulation to real-world validation
• Hands-on experience with NVIDIA simulation tools and digital twins, enhancing advanced AI/ML skills in data creation, model improvement, and sim-to-real transfer
• Involvement in automotive R&D projects developing intelligent robotic systems, with exposure to global, high-impact applications

Annual Salary: 9 million yen and above

Job Responsibilities

• Model Verification & Validation
  • Conduct accuracy verification of the latest Physical AI models, specifically Vision-Language-Action (VLA) models
  • Test and validate model performance across simulation environments and physical devices
  • Evaluate VLA models from Google and NVIDIA for suitability in automotive applications or other discrete applications
• Training Data & Model Improvement
  • Create and curate high-quality training datasets using image-based learning data
  • Drive iterative improvements to model accuracy through data augmentation and refinement
  • Develop and optimize data pipelines for simulation-based training
• Simulation & Real-World Validation
  • Work with digital twin environments and NVIDIA’s simulation software to train robotic systems
  • Conduct real-world validation trials with physical robots to verify sim-to-real transfer
  • Collaborate on the full pipeline: simulate, train, validate, and refine
• Automotive Application
  • Apply Physical AI technologies within the client’s automotive R&D context
  • Contribute to the development of robots that can perceive, understand, and act in physical environments
  • Work closely with the client’s internal R&D teams to align AI capabilities with business objectives

Job Qualification: 

• 3+ years of professional experience in AI/ML engineering, with a focus on computer vision, robotics, or embodied AI
• Strong understanding of Vision-Language-Action (VLA) model architectures and their practical applications
• Hands-on experience with simulation-to-reality (sim-to-real) transfer learning
• Proficiency with NVIDIA’s robotics and simulation software stack (e.g., Isaac Sim, Omniverse)
• Experience in creating and managing large-scale training datasets for AI models
• Strong programming skills in Python; familiarity with deep learning frameworks (PyTorch, TensorFlow)
• Ability to work onsite at the client location in region and around the globe at TechM’s customer base  

Preferred Skills

• Master’s or Ph.D. in Computer Science, Robotics, AI, or a related field
• Prior experience in automotive or manufacturing AI applications
• Published research in Physical AI, embodied intelligence, or VLA models
• Experience with digital twin platforms and 3D simulation environments

Languages :

• Japanese: Native/Full Japanese proficiency (N2 or higher)
• English: Reading and writing required; business-level speaking ability preferred

Company Description:

This company is a leading foreign-affiliated solutions and services provider in the information, communications, and technology (ICT) industry. With more than 130,000 employees in 90 countries, they provide innovative IT solutions to nearly 1000 global customers, including Fortune 500 companies.