Cyngn builds DriveMod, a self-driving system retrofitted onto heavy-duty industrial vehicles for material handling. The stack pairs a robotics core (C++, ROS 2, CUDA, GTSAM, LiDAR) with embedded safety tooling (MISRA C, ISO 26262, ARM Cortex-M) and a Kubernetes/Istio/Terraform cloud layer, while job posts point to multi-site fleet scaling and cloud-edge compute cost as live pressures. Hiring is minimal and entirely senior, led by a DevOps Lead search.
Notable leadership hires: DevOps Lead
Cyngn is a publicly traded company headquartered in Mountain View, California, founded in 2013 and employing 51–200 people. It develops autonomous tuggers and forklifts built on established OEM vehicle platforms, aimed at warehouse, manufacturing, and industrial sites that move heavy goods indoors and outdoors. Its DriveMod technology lets vehicles navigate without dedicated site infrastructure and switch back to manual operation when needed. Fleets are monitored and managed remotely through a fleet management system, and the company's hiring is based in the United States.
Cyngn uses C++, Python, ROS and ROS 2, CUDA, GTSAM and LiDAR for autonomy, MISRA C and ISO 26262 for embedded safety, and AWS, Kubernetes, Istio, Terraform and Helm for cloud infrastructure.
Hiring is minimal and focused on senior engineering and product roles in the United States, including a DevOps Lead position tied to cloud and vehicle infrastructure.
Current work includes calibration, localization and mapping improvements, performance validation tooling, the Cyngn Insight fleet management platform, edge computing integration and large-scale vehicle telemetry processing.
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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.
