Hayden AI builds camera-and-compute units that ride on vehicles and analyze city streets in real time for safety and transit agencies. Its stack runs on NVIDIA Jetson, CUDA, TensorRT and ONNX Runtime alongside LiDAR and Kalman filtering, which points to serious edge-inference and sensor-fusion engineering. Accelerating, engineering-dominated hiring at senior and staff levels targets moving research prototypes and pilots into production fleets.
Notable leadership hires: Chief of Staff
Hayden AI is a privately held company headquartered in San Francisco, California, with 51–200 employees. It pairs computer vision and machine learning with purpose-built hardware mounted on vehicles to interpret urban environments as they move. Municipal and transit customers use the system to improve street safety and transit performance. Engineering work spans perception models, mapping and localization on embedded cameras, and the AWS-based cloud services that support deployed devices.
Hayden AI uses C++, Python, Go and Java with PyTorch, TensorFlow, OpenCV, CUDA, TensorRT and NVIDIA Jetson on Embedded Linux, plus AWS, Redshift, InfluxDB, Grafana, Datadog, Jenkins, GitLab CI/CD and Docker.
Yes. Hiring is accelerating and concentrated in engineering, mostly at senior and staff levels, with roles based in the United States. It is also recruiting a Chief of Staff.
Next-generation real-time perception systems, SLAM-based mapping and localization for embedded cameras, pose estimation algorithms, and multi-region cloud deployment.
Other companies in the same industry, closest in size
Hayden AI'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.
