Hardware-agnostic autonomy software for robots in unstructured field sites
FieldAI builds autonomy software that lets different robot types navigate and work in unmapped, infrastructure-free environments. Its stack pairs robotics staples (ROS 2, C++, LiDAR, I2C, PTP) with a heavy data layer (Spark, Ray, Databricks, Snowflake, Kafka, Dagster), pointing to a fleet-data pipeline feeding field foundation models. Hiring is accelerating and overwhelmingly senior engineering, with projects spanning perception, large-scale mapping and federal autonomy programs.
FieldAI develops general-purpose robot intelligence designed to run on multiple robot form factors in unstructured physical settings without relying on prior maps or GPS. Its systems are deployed at customer sites across construction, energy, security and manufacturing. The company is privately held, headquartered in Irvine, California, and employs 201–500 people. It hires primarily in the United States and Singapore, with engineering making up the bulk of its team growth alongside smaller sales, product and research functions.
FieldAI uses Python, C++, Go and ROS 2 for robotics, LiDAR and I2C on the hardware side, and AWS, GCP, Kubernetes, Terraform, Spark, Ray, Databricks, Snowflake and Kafka for data and infrastructure.
FieldAI is headquartered in Irvine, California, and currently hires in the United States and Singapore.
FieldAI is building perception systems for autonomous robots, large-scale mapping, field foundation models, a data ingestion platform and a perception stack for federal autonomy programs.
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FieldAI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.