Gatik operates autonomous delivery trucks on short-haul freight routes, built on a safety-critical automotive stack: C++, CUDA and TensorRT for on-vehicle inference, ROS 2, AUTOSAR, MISRA C and ISO 26262 for functional safety, plus LiDAR and CAN-FD integration. Engineering-dominated hiring paired with manufacturing work on NPI and vehicle bring-up points to a shift from R&D toward scaling production fleets.
Gatik, founded in 2017 and headquartered in Santa Clara, California, runs driverless freight delivery networks across North America. Its customers are large retailers and consumer brands that need repeatable, short-haul goods movement. The privately held company employs 201–500 people and builds its own autonomy software, from perception and prediction to motion planning and vehicle controls. It also handles vehicle integration and manufacturing readiness, and is currently hiring in the United States.
Gatik's stack includes C++, Python, CUDA, TensorRT, PyTorch, TensorFlow, ROS 2, AUTOSAR, MISRA C, Bazel, CMake, Docker, Kubernetes and Azure, plus LiDAR, CAN-FD and Automotive Ethernet hardware interfaces.
Yes. Hiring is accelerating and concentrated in engineering, with mid through staff-level roles, plus some manufacturing positions, all based in the United States.
Current work includes multi-sensor fusion, object detection and tracking, multi-modal prediction, scalable training and evaluation infrastructure, chassis controls integration and volume manufacturing of autonomous vehicles.
Other companies in the same industry, closest in size
Gatik'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.
