Recruiters struggle to identify candidates with practical embodied AI and robotics skills in hiring software

Recruitment platforms lack effective ways to assess and filter candidates with hands-on embodied AI, robotics, and physical automation expertise. Hiring managers cannot distinguish between theoretical AI knowledge and practical embodied intelligence capabilities, leading to mismatched hires and prolonged vacancy periods for specialized technical roles. Current ATS systems and job matching algorithms don't capture the nuanced skill requirements of embodied AI positions.