RADAR Tech Stack

RFID and computer vision platform for autonomous retail operations

Retail New York, NY 51–200 employees Founded 2013 Privately Held

RADAR combines RFID hardware with computer vision and cloud infrastructure (BigQuery, Airflow, Kubeflow) to automate three core retail functions: inventory management, behavioral analytics, and checkout. The stack shape—heavy embedded systems (FPGA, Verilog, C++, VHDL) paired with ML infrastructure—reflects a hardware-software hybrid. The project backlog is dominated by next-gen sensor design and NPI (new product introduction) supply-chain work, while pain points cluster around deployment reliability and scaling manufacturing, suggesting the company is moving from proof-of-concept toward scaled retail rollout.

Tech Stack 23 technologies

Core StackLinux C++ Python Apache Airflow BigQuery Kubeflow NetSuite SAP Kotlin Java SQL Yocto RFID Ethernet Android Android Jetpack Room Git FPGA Windows macOS VHDL Verilog

What RADAR Is Building

◆Challenges

Reducing loss
Streamline operations
Store deployment issues
Ensuring reliability at massive scale
Scaling people programs
Solving complex people challenges
Meeting clear to build milestones
Process inefficiencies
Maintaining accurate system records across supply chain
Cost-effective supply chain

▲Active Projects

Next generation rfid sensor
Rfid hardware solutions development
First-time-right deployments
Feature engineering pipeline optimization
Onboarding improvements
New product introduction (npi) engineering development builds
Materials planning for npi builds
Procurement of diverse materials for npi builds
Ml infrastructure development
Negotiating long-term agreements with suppliers

Hiring Activity

Accelerating25 roles · 10 in 30d

Department

Engineering

Ops

Support

Design

Product

Seniority

Senior

Mid

Manager

Lead

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About RADAR

RADAR operates a platform that automates physical store operations through RFID tags, computer vision, and real-time inventory systems. The product addresses three buyer needs: automated stock counts and replenishment, real-time visibility into customer-product interactions (mirroring online analytics), and autonomous checkout. Founded in 2013 and headquartered in New York, the company employs 51–200 people and is currently scaling deployment across retail chains. Active hiring is concentrated in engineering and operations, with a notable seniority skew toward senior and lead roles—consistent with the engineering complexity of deploying hardware at scale.

HeadquartersNew York, NY

Company Size51–200 employees

Founded2013

Hiring MarketsUnited States, Peru

Frequently Asked Questions

What is RADAR's tech stack?

RADAR uses SQL, Python, C++, and embedded hardware tools (FPGA, Verilog, VHDL) for sensor and firmware development. Cloud infrastructure includes BigQuery, Apache Airflow, and Kubeflow; enterprise integrations run through NetSuite and SAP.

What is RADAR working on?

Primary projects include next-generation RFID sensor development, NPI (new product introduction) supply-chain and materials planning, deployment optimization, and ML infrastructure for feature engineering and scaling.