Developer Productivity Intern [Winter 2027]

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We are looking for a Developer Productivity Intern to join the Developer Productivity team. You will design and build infrastructure and tools for Figure that accelerate the software development lifecycle. Your work will have a broad impact across the security, cost, and performance of all Figure development.

The US base pay range for this full-time position is $40.00 to $45.00 per hour.

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.

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

Rising senior or recent graduate in Computer Science, Computer Engineering, or a related field, must be graduating within one yearMinimum 10 weeks working at Figure headquarters.; Strong Linux and systems fundamentals: networking, storage, processes, and containers.; Proficient in at least one of Go, Rust, C++, or Python.

Nice to have

Projects using distributed systems, content-addressable storage, or cachingExperience with Bazel.; Experience deploying services with Kubernetes, Terraform, or similar infrastructure-as-code tooling.; Experience with LLMs and other AI toolingExperience with any of the major cloud providers (AWS, GCP, Azure).