Senior Research Scientist - Robotics & AI

Quick Facts

• Role: Senior Research Scientist – Robotics & AI

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

Description

As a Senior Research Scientist – Robotics & AI, you will conduct research and engineering in core AI and machine learning to enable industrial embodied AI across computer vision, autonomous navigation, and adaptive manipulation for manufacturing, shop-floor automation, logistics, and material handling. You will advance industrial robotics by leveraging large vision-language-action models to improve real-time factory reasoning, multi-robot coordination, and operational safety. You will collaborate with manufacturing and product teams to transfer validated solutions from simulation to physical shop-floor systems and document results through publications and patents.

Responsibilities

• Conduct R&D and engineering in AI/ML for industrial embodied AI

• Develop capabilities for computer vision, autonomous navigation, and adaptive manipulation

• Integrate large vision-language-action models for factory reasoning and multi-robot coordination

• Ensure high-reliability system integration from simulation to physical hardware

• Collaborate cross-functionally with manufacturing engineering, plant operations, and product development

• Engage with relevant consortia, automation communities, and industrial robotics conferences

• Publish research and contribute to industry white papers and patent submissions

Requirements

• Ph.D. in Computer Science, Robotics, or related field OR Master’s degree with at least 2/4 years industry experience after graduation

• Minimum 5 years R&D experience, primarily in AI including computer vision and robotic/automotive motion and behavioral planning

• Proficiency in Python, C++, and/or Rust

• Knowledge of TensorFlow or PyTorch

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

• Strong interpersonal, communication, and teamwork skills

• Strong portfolio of publications in relevant ML/deep learning/robotics/computer vision journals and conferences

Benefits

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

• Premium health coverage

• 401(k) with generous matching

• Paid time off, parental leave

• Financial planning and goal-setting resources

• Comprehensive life and disability protection