1. What is a Software Engineer?

As a Software Engineer at Figure AI, you are not simply building web applications or backend services; you are engineering the intelligence and functionality of general-purpose humanoid robots. This role sits at the intersection of artificial intelligence, robotics, and systems engineering. You are tasked with deploying code that operates in the physical world, meaning your software directly influences how a robot perceives, moves through, and manipulates its environment.

The impact of this position is profound. Figure AI is racing to deploy autonomous humanoids into the workforce to address labor shortages and improve safety. Your code contributes to critical subsystems, whether that is the "Never Fall" safety protocols, robotic integration, vision processing, or the underlying infrastructure that allows the fleet to learn and operate. You will work in a high-velocity environment where software reliability is paramount—a bug here doesn't just crash an app; it could cause physical hardware failure.

Candidates successful in this role are typically driven by the challenge of embodied AI. You will collaborate closely with mechanical engineers, control theorists, and AI researchers to translate complex models into real-time, production-grade software. This is a role for engineers who want to see their code walk, lift, and interact with the real world.

2. Common Interview Questions

These questions are based on real interview experiences from candidates who interviewed at this company. You can practice answering them interactively on Dataford to better prepare for your interview.

3. Getting Ready for Your Interviews

Preparation for Figure AI requires a shift in mindset from standard tech interviews. While algorithmic competence is necessary, the team prioritizes practical engineering and the ability to ship software in a complex, hardware-constrained environment.

Key Evaluation Criteria:

• Technical Ownership & Depth – You must be able to discuss your past projects with extreme granularity. Interviewers will drill down into why you made specific architectural choices, how you handled trade-offs, and the specific lines of code you owned.
• System Integration & Design – Figure AI evaluates how well you understand the broader system. You need to demonstrate how your software interacts with hardware components, sensors, and other services. Expect to discuss latency, concurrency, and resource constraints.
• Cross-Functional Communication – You will likely interview with people outside of pure software engineering, including operations or hardware specialists. Your ability to explain technical concepts to diverse stakeholders (e.g., explaining warehouse logic to non-engineers) is a critical filter.
• Adaptability and Grit – The environment is fast-paced and can be ambiguous. Interviewers look for signals that you can navigate shifting requirements, handle "startup chaos," and deliver results without hand-holding.

4. Interview Process Overview

The interview process at Figure AI is known for being fast-paced and direct. Unlike large tech companies with rigid, months-long cycles, Figure AI moves quickly—often completing the loop from application to decision in as little as two weeks. However, the process can also be unpredictable; candidates have reported variations ranging from purely conversational screens to intense technical case studies.

Typically, the process begins with a resume screen, which may bypass a traditional recruiter call and go directly to an engineer or hiring manager. If you pass this stage, you will move into a series of technical rounds. A distinctive feature of Figure's process is the potential for a Case Study presentation, which requires significant preparation time. The final stage is an onsite (or virtual onsite) loop involving back-to-back interviews with various team members, including Staff Engineers and potentially cross-functional partners from operations or compliance.

This timeline illustrates a compressed but rigorous schedule. Note that the Case Study phase is a major pivot point; this is where you demonstrate your ability to solve open-ended problems similar to what you would face on the job. Be prepared for a process that prioritizes speed and immediate feedback, but requires you to be flexible with scheduling and format changes.

5. Deep Dive into Evaluation Areas

Your interviews will focus heavily on your practical experience and your ability to apply engineering principles to novel problems. Based on candidate reports, the following areas are critical for the Software Engineer role.

Project Deep Dive

This is often the most significant part of the interview. Rather than generic coding puzzles, interviewers prefer to dissect a project you have already built. They want to see the depth of your contribution.

Be ready to go over:

• Architectural decisions – Why did you choose this stack? What were the alternatives?
• Technical challenges – What was the hardest bug you squashed? How did you debug a system that involved multiple moving parts?
• Ownership – Be honest about what you did versus what the team did. They will probe until they hit the limit of your knowledge.

Case Study & System Design

For many candidates, Figure AI assigns a take-home or presentation-based case study. This is designed to test your ability to synthesize information and propose a viable solution under time constraints.

Be ready to go over:

• Problem structuring – How do you break down a vague prompt (e.g., "Design a deployment system for a robot fleet") into actionable engineering tasks?
• Trade-offs – Speed vs. accuracy, cost vs. reliability, edge vs. cloud processing.
• Presentation skills – You may present this to a panel. Clarity, confidence, and the ability to defend your design against critique are essential.

Cross-Functional & Operational Fit

Figure AI is a physical product company. You may face questions that seem unrelated to code, such as warehouse logistics, trade compliance, or operational workflows.

Be ready to go over:

• Operational logic – Understanding how software impacts the physical supply chain or robot operations.
• Stakeholder management – How you handle requests from non-technical teams.
• Advanced concepts – Real-time constraints, safety-critical systems, and hardware-in-the-loop testing.

Example questions or scenarios:

• "Pick a recent project and explain the most complex technical hurdle you overcame."
• "How would you design a safety override system for a robot operating in a warehouse?"
• "Explain a technical concept to someone with a background in trade compliance or logistics."