Design and deploy state-of-the-art algorithms for robotic perception, planning, and dexterous manipulation.
Train and fine-tune large-scale foundation models (VLAs/VLMs) for real-world industrial tasks.
Develop advanced "sim-to-real" pipelines using them to accelerate policy training.
Investigate, benchmark, and report on emerging robotics trends and academic breakthroughs to keep ahead of the curve.
Write clean, scalable, and maintainable code leveraging modern system programming languages and following software engineering best practices.
Work closely with Business Units to optimize robotic systems for new AI-driven capabilities.
Document your research through technical reports, white papers, and high-impact publications.

Bachelor's Degree or Equivalent Years of Relevant Work Experience.
Typically requires 5+ Years of related work experience.
Graduate degree (Masters or PhD) in Computer Science, Robotics, or related field.
5+ years of hands-on experience in robotics research or high-tech R&D (can include graduate research).
A proven track record of research excellence with publications in top conferences / journals.
Deep theoretical and practical knowledge in Reinforcement Learning, Vision Language Models, and/or World Models.
Experience in robotic grasping, 6D pose estimation, and multi-modal sensor fusion (Vision, Tactile, Force/Torque).
Excellent talent for software design and the ability to understand unfamiliar systems and their workings.
Experience developing and curating large multi-modal training dataset from real-world and synthetic data.
Hand-on experience with PyTorch, TensorFlow.
Skill in using simulation environments for data generation and policy verification.
A track record of solving complex, unstructured problems in the robotics domain.

Robotics Researcher – Physical AI

Key skills