RADAR builds sensing hardware and software that gives physical retailers real-time visibility into store inventory. The stack spans the full device-to-cloud path: FPGA work in VHDL/Verilog on Xilinx, embedded Linux via Yocto, Android apps in Kotlin, and a GCP data layer of BigQuery, Beam, Airflow and Kubeflow. Job posts focus on field service metrics like MTTR and first-time fixes, plus SOC 2, signaling a shift from deployment to scaled fleet operations.
RADAR is a New York-based, privately held retail technology company founded in 2013 with 51–200 employees. It combines RFID sensing, computer vision and software to track what merchandise a store holds and where it sits. Retailers use the platform to improve inventory accuracy, fulfill online orders from stores, and cut time staff spend locating products. The company designs its own hardware alongside cloud analytics and mobile tools, and currently hires in the United States across engineering, operations, support, design and HR.
RADAR uses Python, Go, C++, Java and Kotlin, with BigQuery, Apache Beam, Spark, Airflow and Kubeflow for data, Kubernetes, Terraform and Argo CD for infrastructure, and FPGA tooling (VHDL, Verilog, Xilinx) plus Yocto for hardware.
Current initiatives include fleetwide RFID solutions, customer-facing analytics dashboards, improving the field maintenance model, scaling internal technology infrastructure and implementing a SOC 2 compliance program.
RADAR is headquartered in New York, NY, and hires in the United States across engineering, operations, support, design and HR roles.
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RADAR'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.
