Robotics Research Engineer – Embodied Intelligence
About The Position
Glidance is building embodied-intelligence systems for open-world human spaces, beginning with Glide, an autonomous mobility and guidance system intended to help blind and low-vision individuals navigate with greater confidence, safety, and independence. The company views human-scale navigation and interaction as a major unsolved challenge in AI and robotics, and uses real-world deployments to generate data that can advance perception, interaction, and environmental understanding. As a founding member of Glidance's Embodied Intelligence team, the Robotics Research Engineer will work directly with the Head of the Embodied Intelligence lab to invent, build, and deploy perception, reasoning, planning, and learning systems for autonomous wayfinding. The role combines robotics, AI agents, multimodal perception, vision-language models, spatial intelligence, human-in-the-loop learning, and real-world deployment. Systems developed in the role will be deployed on physical robots used by people.
Requirements
- MS or PhD in Computer Science, Robotics, Machine Learning, AI, or a related field.
- Strong software engineering skills in C++ and Python.
- Experience with PyTorch or similar ML frameworks.
- Experience building machine learning or robotics systems beyond coursework.
- Strong problem-solving ability and comfort working in ambiguous environments.
- Ability to rapidly prototype, test, and iterate.
Nice To Haves
- Experience in embodied AI.
- Experience with ROS2 and robotics.
- Experience with vision-language models.
- Experience with multimodal learning.
- Experience with AI agents.
- Experience with perception systems.
- Experience with planning systems.
- Experience with human-robot interaction.
- Experience with autonomous systems.
Responsibilities
- Develop multimodal perception systems that understand pedestrian environments.
- Build agentic systems capable of understanding user intent and environmental context.
- Explore memory, planning, reasoning, and long-horizon task execution.
- Develop evaluation frameworks and metrics for embodied intelligence.
- Build data pipelines supporting closed-loop learning and continuous improvement.
- Analyze real-world deployment data and identify opportunities for model improvement.
- Prototype rapidly, validate ideas through experimentation, and deploy successful solutions.
- Work closely with robotics, firmware, software, cloud, and product teams.
- Deploy and iterate on models running on physical robotic systems.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
