Brain Corp builds the autonomy software and cloud backend that let partner OEMs ship and operate commercial robots. The stack spans the full robot lifecycle: embedded C++ on ARM Cortex, RTOS and Embedded Linux, LiDAR and NVIDIA Isaac Sim for simulation, and a GCP, Kubernetes and BigQuery cloud managed with Pulumi and Terraform. Accelerating, engineering-heavy hiring targets fleet log pipelines, embedded GPU performance and perception ML.
Brain Corp is a privately held robotics software company headquartered in San Diego, California, founded in 2009 and employing 201–500 people. It supplies the autonomy platform and supporting software infrastructure that partners use to deploy enterprise robots, with a focus on indoor navigation, automation, retail intelligence and inventory management. The company works closely with OEM partners on robot integration and production support. It operates a cloud-based fleet management layer alongside on-robot software and hires in the United States and the Netherlands.
Brain Corp uses C++, Python, Go and TypeScript, with Embedded Linux, RTOS, ARM Cortex and LiDAR on-robot, plus GCP, Kubernetes, Docker, Pulumi, Terraform, BigQuery and Snowflake in the cloud.
Yes. Hiring is accelerating and concentrated in engineering, with smaller data and operations needs, spanning mid-level through staff and manager seniority in the United States and the Netherlands.
Current work includes expanding fleet management capabilities, cloud platform integration APIs, OEM production support, robotic integration programs, and perception and motion planning ML systems.
Other companies in the same industry, closest in size
Brain Corp'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.