Robotics Solutions Advisor

Kforce Inc.
Washington, DC, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Systems Architecture Large Language Models Information Technology

Job 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

Requirements

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

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