We bring clarity to physical risk, enabling leaders to engage with confidence and enact resilient business critical decisions. Today's environmental, economic, and infrastructure challenges are deeply interconnected, yet the data required to understand these relationships is scattered across siloed and aging systems. Neural Earth enables operational execution; delivering a single decision intelligence platform that unifies planetary, governmental, and asset-level data, always on and always learning. This is technical work that requires patience. It requires teams willing to operate at the intersection of AI research, geospatial science, distributed systems, and enterprise deployment. It is also incredibly rewarding. Join us at Neural Earth, the next frontier is here.
The Staff Platform Engineer will be the technical backbone of Neural’s geospatial infrastructure, responsible for designing, building, and scaling the cloud-native platform that powers all of our AI and geospatial products. You will own the developer experience for internal engineering teams, architect CI/CD pipelines, manage container orchestration, and ensure our systems are reliable, observable, and performant at scale. This role bridges the gap between data engineering, DevOps, and software architecture, with a deep emphasis on geospatial workloads.
The ideal candidate has extensive experience building and operating production infrastructure for data-intensive applications, particularly those involving large-scale raster, vector, and time-series geospatial datasets. You will partner closely with AI/ML engineers, data scientists, and product teams to ensure that models and applications can be deployed, monitored, and iterated upon rapidly.
This is a full-time, remote position.
