Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.
We’re looking for a Developer Productivity Intern for **Fall 2025 **who’s passionate about building tools and systems that accelerate engineering velocity. You’ll play a key role in supporting the development of our general-purpose humanoid robot — designed to be manufactured and deployed at scale. This internship is ideal for students graduating in Summer 2026 who are excited to work at the intersection of infrastructure, tooling, and robotics.
**Responsibilities: **
- Contribute to the architecture and implementation of our next-generation, large scale build and deployment infrastructure
- Redefine our development environments for ease of use and an order of magnitude improvement in developer productivity
- Develop backend and frontend tools to support the build infrastructure
- Work closely with firmware, embedded, middleware and AI/ML engineers to ship new platforms and features at unprecedented speed
**Requirements: **
- Currently pursuing or recently completed an undergraduate or graduate degree in Computer Science or a related field
- Available for a minimum 10-week internship (1–2 terms preferred)
- Strong understanding of Linux systems
- Proficient with scripting languages including Python and Bash
- Proficient with git
**Bonus Qualifications: **
- Experience with the Bazel or other build tools (Pants, Buck, CMake, make, etc…)
- Experience with Docker, Kubernetes, or other containerization & container orchestration tools
- Experience with LLMs and other AI tooling
- Experience with any of the major cloud providers (AWS, GCP, Azure)
- Experience with C++ or Rust
- Experience with front-end technologies, including JavaScript, HTML5/CSS, and React.
The US hourly range for this internship position is between $35 - $50/hr.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.