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# Robotics Solutions Advisor

- **Company:** Kforce Inc.
- **Location:** Washington, DC, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Architecture, Large Language Models, Information Technology
- **Published:** June 11, 2026
- **Apply:** https://www.clearancejobs.com/jobs/8969979/robotics-solutions-advisor

## About the Role

Robotics
Embodied AI
Autonomous systems
Robot learning
Foundation models
Physical AI

15+ years of experience in leadership roles across:

Research institutions or academia
Advanced AI labs
Robotics or deep tech startups
Enterprise innovation environments

Proven contributions demonstrated through:

Published research or technical papers
Patents or intellectual property
Startup creation or scaling efforts
Commercialized products or deployments
Participation in or influence on industry standards

Advanced degree (PhD or equivalent experience) in AI, Robotics, Computer Science, or a related field

Strong track record of innovation and thought leadership in emerging technologies

Established professional network spanning industry, academia, and investment communities

Preferred Experience
Prior experience serving in an advisory or consulting capacity
Background launching or scaling venture-backed organizations
Experience transitioning research into production environments
Familiarity with world foundation models, visual-language-action (VLA) systems, or humanoid robotics

## Description

We are seeking a highly accomplished expert to serve as a strategic advisor focused on Physical AI and advanced robotics. This individual will work closely with senior leadership to help define long-term direction, guide innovation efforts, and provide insight across emerging technologies, commercialization strategy, and ecosystem partnerships., Provide executive-level guidance on strategy related to robotics, autonomous systems, and Physical AI
Assess and refine technical roadmaps, research priorities, and innovation initiatives
Offer insight into emerging advancements in embodied AI, robot learning, and foundation models
Advise on system architecture, scalability, and commercialization approaches
Connect leadership with key stakeholders across industry, academia, and investment communities
Support growth initiatives including partnerships, talent strategy, and market positioning


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