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San Jose, California, United States
Onsite
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.
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.
Bonus Qualifications:
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).
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.
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