The posting
Leveraging Sony’s world-leading sensor technology, Pentas Vision is committed to driving the deep integration of AI and sensor capabilities. We are seeking a highly skilled AI Researcher to explore the applications of sensors in the field of embodied robotics, transforming academic innovations into real-world robotic products.
What you will be doing:
- Conduct frontier research in large-scale embodied AI models, including data generation, training optimization, and evaluation.
- Track and assess state-of-the-art research, and maintain/improve algorithmic frameworks.
- Design and implement proof-of-concept systems, validating them in both simulation platforms (e.g., MuJoCo, Isaac Sim, Omniverse, PyBullet) and real robotic hardware.
- Develop and deploy algorithms that leverage multimodal sensor data (vision, LiDAR, IMU, tactile, event-based, thermal, etc.) to enhance robotic intelligence and autonomy.
- Collaborate with cross-functional teams to integrate algorithms into robotic platforms and ensure robust real-world performance.
- Work closely with hardware and sensor teams to understand sensor characteristics and translate them into algorithmic advantages.
- Contribute to both system integration and algorithm innovation, validating new sensors through cutting-edge AI benchmarks.
What you should have:
- Master’s or Ph.D. in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field, with focus on AI, robotics, or embodied intelligence.
- Familiarity with deep learning architectures for embodied AI, with experience in reinforcement learning, imitation learning, or multimodal perception.
- Experience in integrating hardware sensors into robotic systems, with ability to debug both software and hardware pipelines
- Hands-on experience with simulation platforms (e.g., Omniverse, MuJoCo, Isaac Sim, PyBullet).
- Proficiency in Python and C/C++, with experience in ROS, PyTorch, or TensorFlow.
- Strong problem-solving skills, curiosity, self-motivation, and passion for tackling challenging problems in robotics.
- Strong teamwork and communication skills.
Preferred Qualifications:
- Experience with C++, CUDA, ROS; publications in top-tier conferences (CVPR, ICCV, NeurIPS, CoRL) are a strong plus.
- Proven track record in international academic competitions, robotics challenges, or AI contests.
- Industry experience in robotics, AI, or autonomous systems.
- Experience in multi-modal sensor fusion (vision + tactile, vision + IMU, etc.) and demonstrating measurable performance gains in robotic benchmarks.



