AI Researcher (Embodied Robotics)

PENTAS VISION PTE. LTD.

Singapore
Hybrid
Master's or ph.d. in computer science or robotics
Experience with reinforcement learning and imitation learning
Hands-on experience with simulation platforms like mujoco
PENTAS VISION PTE. LTD. is seeking an AI Researcher specializing in embodied robotics to leverage advanced sensor technology and conduct research aimed at transforming academic innovations into practical robotic applications. The ideal candidate will possess a strong background in AI, robotics, and sensor integration, with hands-on experience in simulation platforms and programming languages

Job Summary

  • The role involves conducting frontier research in large-scale embodied AI models and transforming academic innovations into real-world products.
  • Candidates will design and implement proof-of-concept systems validated in both simulation platforms and real robotic hardware.
  • The position requires collaborating with cross-functional teams to deploy algorithms that leverage multimodal sensor data for enhanced autonomy.

Matching Summary

Match Score: 85

PENTAS VISION PTE. LTD. is seeking an AI Researcher specializing in embodied robotics to leverage advanced sensor technology and conduct research aimed at transforming academic innovations into practical robotic applications. The ideal candidate will possess a strong background in AI, robotics, and sensor integration, with hands-on experience in simulation platforms and programming languages.

Skills & Requirements

Must-have

  • Master's or Ph.D. in Computer Science or Robotics
  • Experience with reinforcement learning and imitation learning
  • Hands-on experience with simulation platforms like MuJoCo
  • Proficiency in Python, C/C++, ROS, PyTorch, or TensorFlow
  • Ability to integrate hardware sensors into robotic systems

Nice-to-have

  • Publications in top-tier conferences like CVPR or NeurIPS
  • Experience with CUDA programming for GPU optimization
  • Proven track record in international robotics challenges
  • Strong problem-solving skills and self-motivation
  • Experience in multi-modal sensor fusion techniques

Key Requirements

  • Master's or Ph.D. degree required
  • Deep learning architecture expertise needed
  • Hardware debugging capabilities essential

Work Rights

Not specified

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