Head of Embodied Intelligence

Glidance•Seattle, WA

About The Position

Glidance is seeking an AI leader to build and lead its frontier AI capability for autonomous wayfinding in complex human environments. The role will define the architecture, research direction, and long-term vision for embodied AI while developing the team and technical culture needed to deliver it. It spans embodied AI, multimodal perception, vision-language systems, agentic reasoning, spatial intelligence, human-in-the-loop learning, long-horizon planning, and real-world robotic deployment. The work supports Glide, an autonomous mobility and guidance system designed to help blind and low-vision individuals move with greater confidence, safety, and independence.

Requirements

MS or PhD in Computer Science, Robotics, Machine Learning, AI, or a related field.
Strong experience in embodied AI, robotics AI, multimodal AI, perception systems, agentic systems, or autonomous systems.
Strong understanding of vision-language models, multimodal perception, AI agents, planning systems, and contextual reasoning architectures.
Strong software engineering capability with Python and ML frameworks such as PyTorch.
Experience leading teams, mentoring engineers or researchers, or driving large technical initiatives.

Responsibilities

Define and drive Glidance’s long-term embodied AI strategy.
Build a frontier lab culture focused on rapid experimentation and real-world validation.
Recruit, mentor, and grow an AI and embodied intelligence team.
Architect multimodal systems integrating perception, reasoning, planning, memory, action, and learning.
Advance perception systems for complex, dynamic human environments.
Work with vision-language models, multimodal foundation models, perception systems, and agentic architectures.
Develop systems capable of long-term contextual understanding and adaptive behavior.
Build infrastructure for training, evaluation, deployment, and closed-loop learning.
Work with data generated by deployed Glide systems in real human environments.
Collaborate with robotics, software, firmware, cloud, and product teams.
Deploy and iterate on models running on robotic systems used daily by blind and low-vision users.