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Developer Productivity Intern [Winter 2027]

figureai · San Jose, CA · San Jose, California, United States
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<div class="content-intro"><p class="p1">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.</p></div><p>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.</p> <p><strong>Responsibilities:</strong></p> <ul> <li> <p>Contribute to the architecture and implementation of our next-generation, large scale build and deployment infrastructure.</p> </li> <li> <p>Redefine our development environments for ease of use and an order of magnitude improvement in developer productivity.</p> </li> <li> <p>Develop backend and frontend tools to support the build infrastructure.</p> </li> <li> <p>Work closely with firmware, embedded, middleware and AI/ML engineers to ship new platforms and features at unprecedented speed.</p> </li> </ul> <p><strong>Requirements:</strong></p> <ul> <li> <p>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.</p> </li> <li> <p>Strong Linux and systems fundamentals: networking, storage, processes, and containers.</p> </li> <li> <p>Proficient in at least one of Go, Rust, C++, or Python.</p> </li> </ul> <p><strong>Bonus Qualifications:</strong></p> <ul> <li> <p>Projects using distributed systems, content-addressable storage, or cachingExperience with Bazel.</p> </li> <li> <p>Experience deploying services with Kubernetes, Terraform, or similar infrastructure-as-code tooling.</p> </li> <li> <p>Experience with LLMs and other AI toolingExperience with any of the major cloud providers (AWS, GCP, Azure).</p> </li> </ul> <p>The US base pay range for this full-time position is $40.00 to $45.00 per hour.</p> <p class="p1">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.</p>

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