Embodied AI Researcher — Robotics, Vision, Perception

Aimlroles; Alpharetta (GA); In loco; USD 154.000 - 198.000; Tempo pieno

Descrizione del lavoro

Cisco's embodied AI team is advancing perception, navigation, and manipulation for robots, spanning cloud/edge model orchestration, world models, and mobile platforms. We seek a researcher with a solid foundation in computer vision and ML to contribute across research threads rather than a single niche.

The role emphasizes collaboration with orchestration, navigation, and manipulation teams, and contributing to real-world robotics deployments and publications.

Competenze

• PhD in Computer Science, Electrical Engineering, Robotics, or a closely related field.
• 1+ year relevant research experience (industry, postdoctoral, or equivalent).
• Experience in computer vision and/or machine learning, with experience using deep learning frameworks (e.g. PyTorch, TensorFlow).
• Experience in one or more of the following languages (C++, Java, Python)
• Experience delivering research outcomes through peer-reviewed publications, patents, prototypes, or other measurable technical contributions.

Mansioni

• Research and prototype learning-based approaches to perception, planning, and control for embodied agents and robots.
• Collaborate with team members working on orchestration, navigation, and manipulation to bring computer vision and ML expertise to their systems.
• Evaluate and adapt pioneering vision and ML models for real-world robotics use cases.
• Contribute to publications and/or patents as the team builds out its embodied AI research portfolio.

Conoscenze

1+ year research experience

Computer vision & ML

C++/Java/Python

Publications/Patents/Prototypes

Formazione

PhD in CS / EE / Robotics

Strumenti

PyTorch

TensorFlow

Descrizione del lavoro

Cisco's embodied AI team is advancing perception, navigation, and manipulation for robots, spanning cloud/edge model orchestration, world models, and mobile platforms. We seek a researcher with a solid foundation in computer vision and ML to contribute across research threads rather than a single niche.

The role emphasizes collaboration with orchestration, navigation, and manipulation teams, and contributing to real-world robotics deployments and publications.