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Cyngn Tech Stack

Autonomous industrial vehicles for material handling and logistics

Automation Machinery Manufacturing Mountain View, California 51–200 employees Founded 2013 Public Company
cyngn.com LinkedIn

Cyngn builds self-driving tuggers and forklifts for warehouse and manufacturing operations. The tech stack—C++, Python, ROS 2, LiDAR, and Kubernetes—reflects a robotics-first, full-autonomy approach to industrial vehicles rather than a software-overlay play. Active hiring across engineering (6 roles) plus mechanical design and localization work signals heavy focus on hardware-software integration and scaling from single-site deployments to multi-site fleet operations.

Tech Stack 22 technologies

Core StackC++ Python SolidWorks Rippling Go Java React Redux TypeScript AWS Terraform Kubernetes JavaScript gRPC bash Altium Designer Arena PLM ROS ROS 2 Ubuntu LiDAR WebSockets

What Cyngn Is Building

◆Challenges

  • Improving calibration and localization subsystems
  • Scaling autonomy to large, multi-site fleets
  • Long sales cycles
  • Supply chain challenges
  • High-velocity onboarding
  • Compliance risk mitigation
  • Precision in autonomous tech
  • Assessing automation readiness
  • Maintaining fleet support
  • Map maintenance

▲Active Projects

  • Calibration, localization, and mapping subsystem improvements
  • Performance validation tooling development
  • Cyngn insight and fleet management platform
  • Funnel design
  • Pipeline analytics
  • Forecasting frameworks
  • Mechanical design and release of vehicle systems
  • Product development cycles from concept to production
  • Test fixture development for mechanisms
  • Automated performance management frameworks

Hiring Activity

Accelerating10 roles · 7 in 30d

Department

Engineering
6
Ops
2
HR
1
Product
1

Seniority

Senior
6
Mid
2
Manager
1
Staff
1
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About Cyngn

Cyngn manufactures autonomous industrial vehicles—tuggers and forklifts—that operate indoors and outdoors without special infrastructure. The DriveMod platform runs on vehicles sourced from legacy OEMs like Motrec and BYD, combining their durability with Cyngn's autonomy stack. The company sells to mid-market and enterprise manufacturing and logistics operations. Products include fleet management software (Cyngn Insight), remote monitoring, and data collection for optimization. The business model is hardware-plus-software-as-a-service with a sales-cycle challenge common to capital equipment.

HeadquartersMountain View, California
Company Size51–200 employees
Founded2013
Hiring MarketsUnited States

Frequently Asked Questions

What technology does Cyngn use for autonomous driving?

C++, Python, ROS 2, and LiDAR form the core autonomy stack. Localization, calibration, and mapping subsystems are active development areas. Vehicles run on Ubuntu with Kubernetes for fleet orchestration and AWS cloud infrastructure.

What are Cyngn's main operational challenges?

Scaling autonomy across multi-site fleets, improving calibration and localization precision, managing long sales cycles, supply chain constraints, and maintaining fleet support infrastructure are documented pain points.

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How this profile is built

Cyngn'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.