As a data infrastructure engineer, you’ll sit at the intersection of data, infrastructure, robotics, decision-making systems, and machine learning, with an opportunity to own and make an impact on many different areas. As a robotics and machine learning-centric agriculture company, data is central to everything we do, and we need someone with strong opinions on best practices and a passion for making data available to users and systems throughout the organization. We run both on-premise and cloud-based compute and database infrastructure, and you’ll partner with DevOps engineering to make sure that our data infrastructure is serving the needs of the organization. The robotics and decision-making apparatus is running 24/7 and coordinating activities around our automated farm, and you will develop deep domain expertise in the implications of such systems on our data design and strategy. Our machine learning team are heavy users of data and data infrastructure, and you’ll work closely with them to design and implement infrastructure to support deep learning for plant simulation and image processing and analysis. The ideal candidate for this role will enjoy a balance between spending the bulk of their time working broadly across many different problem spaces related to data, while occasionally needing to go deep in an area of need to design, own and lead new efforts.

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