Company profile

Simbe Tech Stack

Autonomous robotics and edge AI for in-store retail intelligence

Retail South San Francisco, California 51–200 employees Founded 2014 Privately Held

Simbe builds store-scanning robots and edge AI that turn retail shelves into structured data, running a ROS 2 and C++ robotics core on NVIDIA Jetson with a PyTorch-to-TensorRT inference path. Four labeling tools (CVAT, Labelbox, Roboflow, Supervisely) point to a heavy computer-vision data operation. Accelerating hiring mixes engineering and data with finance build-out tied to IPO readiness, plus a new IT Security Lead for robot fleet security.

Tech Stack 39 technologies

Core StackSlack C++ Python Docker AWS Redis PyTorch TensorFlow Pandas Jira dbt Terraform Apache Airflow Salesforce 6sense ROS ROS 2 NVIDIA Jetson GCP Azure CVAT Labelbox Roboflow Supervisely ONNX TensorRT CUDA Google Test Apache Beam Tally+9 more

What Simbe Is BuildingChallenges and projects from their job posts

◆Challenges

Scaling finance and accounting for IPO readiness
Security posture and risk across robot fleets
Improving shelf execution in retail operations
Achieving compliance certification
Supporting enterprise customer growth

▲Active Projects

Implementing AI-driven forecasting automation
Security certification program
Security architecture for product features
AI tool governance policy
Continuous regression testing
Developing a 3-statement financial model

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Engineering

Data

Finance

Logistics

Marketing

Security

Support

Seniority

Senior

Mid

Director

Lead

Principal

Notable leadership hires: IT Security Lead

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About Simbe

Simbe, founded in 2014 and headquartered in South San Francisco, California, sells a vertically integrated platform to retailers that tracks in-store conditions. It combines autonomous robots, computer vision, RFID, fixed sensors and edge AI to monitor inventory availability, product placement, pricing, promotions and merchandising. Those insights feed applications, workflows and AI agents used by store teams. The privately held company has 51–200 employees and reports deployments across thousands of stores in nearly a dozen countries.

HeadquartersSouth San Francisco, California

Company Size51–200 employees

Founded2014

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Simbe use?

Simbe uses C++, Python, ROS and ROS 2 on NVIDIA Jetson, with PyTorch, TensorFlow, ONNX, TensorRT and CUDA for vision models, plus AWS, GCP, Azure, Terraform, Airflow, Apache Beam and dbt.

Is Simbe hiring engineers?

Yes. Hiring is accelerating and US-based, led by engineering and data roles, with additional openings in finance, security, marketing, logistics and support, skewed toward senior talent.

What is Simbe working on?

Job posts point to AI-driven financial forecasting, a security certification program, security architecture for product features, AI tool governance, continuous regression testing and an expanded analyst relations program.

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How this profile is built

Simbe'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.