Figure AI.
Figure AI is known for its humanoid robotics interviews testing bipedal locomotion, manipulation systems, and integrating large language models with physical robots.
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Everything you need to know before your Figure AI interview.
To prepare for a Figure AI interview, research the company thoroughly, practice role specific questions using the STAR method, and prepare thoughtful questions to ask your interviewer. Orbyt's free Figure AI interview guide provides 6 questions to expect and 4 smart questions to ask, composed by Orbyt for tech interviews rather than taken from any company question bank, plus a free AI tool that generates questions tailored to your specific role in seconds.
The Figure AI interview process.
Figure AI's process includes a technical screen and 3 to 4 interview rounds covering robotics, ML, and systems engineering. Expect questions spanning mechanical design, perception, and AI integration. The process takes 2 to 4 weeks.
What Figure AI looks for.
Figure AI values engineers who can build humanoid robots that work alongside humans. They want people who understand locomotion control, dexterous manipulation, perception systems, and how to connect language models with physical robot actions in real world environments.
Figure AI interview questions to expect.
These are the kinds of questions candidates commonly face in Figure AI and similar interviews. Prepare a specific story for each, ideally with the STAR method.
Why do you want to work at Figure AI, and what do you know about how we build?
What does good collaboration look like to you on a technical team?
How do you approach a problem you have never seen before?
How do you keep your skills current as tools and frameworks change?
Describe a time you explained something technical to a non-technical audience.
Describe a time you had to balance speed and quality under a deadline.
Smart questions to ask in your Figure AI interview.
Asking thoughtful questions shows genuine interest and helps you decide if Figure AI is the right fit for you.
How do you measure the impact of this team's work?
What does the path from this role to the next one look like?
How are technical decisions made and disagreements resolved here?
What is the biggest technical challenge Figure AI is focused on right now?
How to prepare.
Study bipedal locomotion control, balance systems, and whole body motion planning
Prepare for questions about robotic manipulation, grasping, and object interaction in unstructured environments
Research how LLMs can be grounded in physical actions for task understanding and planning
Practice designing systems that bridge high level language commands and low level motor control
Common mistakes.
Focusing only on AI without understanding the mechanical and control engineering challenges of robotics
Not appreciating the difficulty of real world perception and manipulation in unstructured environments
Treating robot AI as a pure software problem without considering physical constraints and safety
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