Gatik operates driverless delivery networks across North America for major retailers and consumer brands. The stack—Python, C++, ROS 2, PyTorch, LiDAR, simulation tools (Gazebo, Carla), and real-time software frameworks—reflects a systems-engineering-heavy operation. Active hiring skews toward senior engineers (4 of 7 roles) and mirrors internal pain points: scaling engineering teams and motion-planning improvements for emergency scenarios signal they're solving hard autonomy problems at operational scale.
Gatik runs autonomous freight delivery networks for large retailers and consumer brands across North America. The company operates a fleet of driverless vehicles handling last-mile and middle-mile delivery at scale. Engineering work spans motion planning and decision-making systems, simulation architecture, real-time autonomy software, and vehicle hardware integration. The organization is growing; concurrent focus on HR infrastructure and engineering scaling suggests they're transitioning from startup to operational company while maintaining technical velocity.
Python, C++, ROS 2, PyTorch, LiDAR sensors, Gazebo and Carla simulation platforms, Docker, Jenkins, and automotive-grade protocols (CAN-FD, Automotive Ethernet) for real-time vehicle control.
Motion planning and decision-making systems, simulation architecture, real-time autonomy software, vehicle hardware integration, and scaling HR operations to support rapid growth.
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.