Research Scientist, Robotics & AI

Quick Facts

• Role: Research Scientist (Robotics & AI)

• Focus: Embodied and cyber-physical AI for industrial robotics

• Areas: Computer vision, autonomous navigation, adaptive manipulation, multi-robot coordination, operational safety

Description

As a Research Scientist, you conduct research and engineering in core AI and machine learning to enable industrial embodied AI for manufacturing, shop-floor automation, logistics, and material handling. You will incorporate advances in large vision-language-action models to improve real-time factory reasoning, multi-robot coordination, and operational safety, and collaborate with manufacturing engineering and plant teams to transfer technology from simulation to physical shop-floor systems. You will implement solutions for complex industrial challenges and document results through publications, white papers, and/or patent submissions.

Responsibilities

• Conduct research and engineering in AI/ML for embodied industrial robotics (computer vision, autonomous navigation, adaptive manipulation)

• Enhance industrial robotics using large vision-language-action models for real-time reasoning, multi-robot coordination, and safety

• Collaborate cross-functionally to transfer technology from simulation to physical shop-floor hardware and system integration

• Implement research results for high-reliability system integration in smart manufacturing/Industry 4.0 environments

• Engage with automation communities and industrial robotics conferences

• Publish findings via journals, industry white papers, and/or patents

Requirements

• Ph.D. in Computer Science, Robotics, or a related discipline, or a Master’s degree with 2+ years industry experience after graduation

• At least 5 years of R&D experience (or equivalent graduate research) in AI technologies including computer vision and robotic/automotive motion and behavioral planning

• Proficiency in Python, C++, or Rust (or other common ML languages)

• Knowledge of TensorFlow or PyTorch

• Hands-on reinforcement learning experience for behavior/motion planning, with familiarity of PPO, DQN, DDPG

• Strong interpersonal, communication, and teamwork skills

• Strong portfolio of publications in premier ML, deep learning, robotics, and computer vision venues

Benefits

• Competitive base salary (US-California range: $185,000–$215,000) with annual corporate bonus and long-term incentive bonus

• Premium health coverage

• 401(k) with generous matching

• Financial planning resources

• Ample paid time off

• Parental leave

• Life and disability protection