AI Engineer Search
AI Engineer Search for Embodied AI and Robotics Talent
Review embodied-AI role fit, planning and control depth, and physical-system validation instead of treating a research title as practical robot experience.
Example query
“Find embodied AI engineers with hands-on robot control experience”
Search criteria
What the search evaluated
Search summary
Embodied AI and Robot Control Search
Results
Reviewed result rows
Fully matched
Robot Control Engineer 01
Robotics Software Engineer · Autonomous robotics organization
Combined robot manipulation learning with vehicle-control work using classical control methods on physical robotic systems.
Public source: Public Talent Pool
Review match evidence
This row was grouped from the public professional evidence available when the search snapshot was created. Verify the original source, scope, and recency before making a hiring or outreach decision.
Autonomous Systems Engineer 02
Robotics Research Engineer · Autonomous mobility company
Delivered planning and control systems across quadrotors and autonomous vehicles with real-world robotics validation.
Public source: LinkedIn
Review match evidence
This row was grouped from the public professional evidence available when the search snapshot was created. Verify the original source, scope, and recency before making a hiring or outreach decision.
Humanoid Motion Planning Lead 03
Motion Planning Lead · Humanoid robotics company
Led whole-body motion planning and control work spanning humanoid and compliant robotic systems.
Public source: LinkedIn
Review match evidence
This row was grouped from the public professional evidence available when the search snapshot was created. Verify the original source, scope, and recency before making a hiring or outreach decision.
Embodied Control Director 04
Embodied AI Control Director · Robotics and mobility company
Owned humanoid control using reinforcement learning, imitation learning, and model-predictive control with hardware validation.
Public source: Public Talent Pool
Review match evidence
This row was grouped from the public professional evidence available when the search snapshot was created. Verify the original source, scope, and recency before making a hiring or outreach decision.
Manipulation Platform Engineer 05
Robotics Software Engineer · Industrial robotics platform
Integrated manipulation, control, and software-development-kit capabilities on physical collaborative robot arms.
Public source: LinkedIn
Review match evidence
This row was grouped from the public professional evidence available when the search snapshot was created. Verify the original source, scope, and recency before making a hiring or outreach decision.
Legged Robotics Engineer 06
Locomotion and Controls Engineer · Legged robotics company
Built contact planning, locomotion, and control software for physical legged robotic platforms.
Public source: LinkedIn
Review match evidence
This row was grouped from the public professional evidence available when the search snapshot was created. Verify the original source, scope, and recency before making a hiring or outreach decision.
Robot Manipulation Researcher 07
Robotics Research Engineer · Applied robotics laboratory
Applied learned manipulation and task-and-motion planning on physical robots rather than simulation-only benchmarks.
Public source: LinkedIn
Review match evidence
This row was grouped from the public professional evidence available when the search snapshot was created. Verify the original source, scope, and recency before making a hiring or outreach decision.
Field Robotics Engineer 08
Autonomous Systems Engineer · Field robotics organization
Worked hands-on with aerial and ground vehicles, robot middleware, flight controls, and simulation-to-real deployment.
Public source: Public Talent Pool
Review match evidence
This row was grouped from the public professional evidence available when the search snapshot was created. Verify the original source, scope, and recency before making a hiring or outreach decision.
Humanoid Controls Engineer 09
Controls and State Estimation Engineer · Humanoid robotics program
Built controls and state-estimation capabilities for a production-oriented humanoid robotics program.
Public source: LinkedIn
Review match evidence
This row was grouped from the public professional evidence available when the search snapshot was created. Verify the original source, scope, and recency before making a hiring or outreach decision.
Autonomous Vehicle Controls Lead 10
Planning and Controls Lead · Autonomous vehicle company
Led machine-learning planning and control work for autonomous vehicles with hands-on real-world testing.
Public source: LinkedIn
Review match evidence
This row was grouped from the public professional evidence available when the search snapshot was created. Verify the original source, scope, and recency before making a hiring or outreach decision.
An anonymized editorial subset of a completed 57-result search after one Find More request: twelve fully matched, thirty-six partially matched, and nine unscored profiles. Human review found one duplicate identity, leaving eleven valid unique fully matched people; ten evidence-rich rows were selected. A second expansion was unnecessary because the publication target had been reached. Names, exact employers, profile links, contact details, and unreviewed fields are intentionally omitted. AI-generated avatars are illustrative and do not depict the people represented in these rows.
Market Landscape
Context for how teams search and evaluate talent today.
Fully matched group
12 profiles
Partially matched group
36 profiles
Unique valid full
11 profiles
Unscored group
9 profiles
Key Trends
Embodied-AI titles appeared without direct robot-control evidence in several partial results
Planning, controls, manipulation, and locomotion evidence distinguished practical work from broad robotics claims
Professional and enriched records provided complementary role and physical-system context
One duplicate identity was removed before ten rows were selected
Common Misconceptions
Robotics research proves hands-on robot-control experience
RealityThe validated search required direct planning, control, manipulation, locomotion, or physical-system evidence rather than inferring practical experience from research alone.
An embodied-AI title establishes every technical requirement
RealitySeveral partial results had relevant titles but lacked direct proof of robot-control implementation or physical validation.
How RightWho Works
Not keyword matching. Not database filtering. Evidence-driven intelligence.
Blueprint Generation
Evaluate embodied-AI role scope, hands-on robot control, planning or controls depth, and physical-system validation as separate criteria. Preserve missing evidence instead of inferring practical work from research activity.
Evidence We Collect
- Professional role and experience records from LinkedIn
- Enriched professional records from FullEnrich and Apollo
- Reviewable planning, controls, manipulation, or locomotion work
- Physical robot testing or deployment evidence
3D Profile Dimensions
- Embodied-AI or robotics role fit
- Robot-control implementation experience
- Physical-system validation evidence
- Evidence completeness and scoring status
Illustrative Evaluation Framework
Adapt these dimensions and weights to the role, then review the evidence behind each match.
Embodied AI Role Fit
30%Signals
Sources
Robot Control Depth
35%Signals
Sources
Physical-System Evidence
35%Signals
Sources
Evidence Gaps to Verify
- A research claim is used as a substitute for hands-on robot-control evidence
- An embodied-AI title lacks direct control implementation support
- Physical validation is inferred from simulation-only work
- An unscored or missing dimension is presented as satisfied
Supporting Evidence
- Embodied-AI responsibility is directly described
- Planning or control work has reviewable supporting evidence
- Physical robot validation is supported separately
- Research, software, and real-world claims remain clearly distinguished
Example Workflow
An illustrative workflow showing how evidence-first sourcing supports a shortlist.
Scenario
Validated search for hands-on embodied AI engineers
The Challenge
Embodied-AI role or research evidence can be visible while hands-on robot-control support remains incomplete.
RightWho's Approach
The live search displayed embodied-AI role fit, robot-control evidence, planning or controls depth, physical validation, and relevant background.
Outcome
The completed search returned 57 profiles after one Find More request: twelve fully matched, thirty-six partially matched, and nine unscored. Human review removed one duplicate identity, leaving eleven valid unique fully matched people; ten were selected for the public preview.
Illustrative Output
57
Results found
10
Published rows
9
Unscored
Frequently Asked Questions
What made a robotics result fully matched?+
The strongest results combined embodied-AI or robotics scope with direct planning, control, manipulation, locomotion, or physical-system evidence.
Why were thirty-six results only partially matched?+
Several showed an embodied-AI or robotics title but lacked direct support for hands-on robot-control implementation.
Does robotics research prove hands-on control experience?+
No. Research can support role relevance, but hands-on robot-control work needs separate, reviewable implementation or physical-system evidence.
Did Find More change the result count?+
Yes. One Find More round increased the result set to 57 and added two fully matched rows. A second round was unnecessary after human review established more than ten unique valid matches.
How current and complete are these findings?+
This page reflects a completed August 2026 validation run with nine unscored results. Public evidence can be incomplete or outdated, and the duplicate identity was not published twice.
This page presents an editorially anonymized subset of a real RightWho search using public professional information and reviewable qualification criteria.
Limitations: Only reviewed rows are shown. Public evidence can be incomplete or outdated, unscored rows are excluded, and search results must not be treated as an automated hiring or outreach decision.
Explore More
Review Hands-On Robot Control Evidence
Run the validated search and inspect planning, control, and physical-system support without filling evidence gaps by inference.
Search for Robotics Engineers