Tools & Infrastructure is a small, growing team that builds software for hardware test setups, lab research rigs, lab automation, and proprietary hardware-research tooling. The team works at the intersection of machine learning, hardware, and software, enabling researchers and hardware engineers to run experiments, collect data, and trust their results. The role designs and builds macOS tools and applications, primarily using Python and Swift, and develops company-wide tools that are supported as products for internal users. It involves taking problems from initial discussions with lab users through design, implementation, deployment, and iteration. The engineer also integrates instruments, sensors, and custom hardware; builds supporting infrastructure such as dashboards, databases, data pipelines, and reporting; and implements algorithms that turn raw measurements into usable results. Windows environments may also need support when required by lab equipment or vendor software. The role uses advanced AI coding tools as part of daily development and contributes to design and code reviews and the quality and maintainability of the team's tools.
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Job Type
Full-time
Career Level
Mid Level