Gatik operates driverless delivery networks across North America for major retail and consumer brands. The tech stack reveals a mature autonomous-vehicle operation: automotive-grade networking (CAN, Automotive Ethernet), perception (LiDAR, GPS), simulation (Gazebo, high-scale web-based platform), and recent AI additions (Gemini, Claude, LangChain, Pinecone for RAG). Active hiring is heavily weighted toward senior and lead engineers focused on vehicle platform architecture, sensor integration, and sim-to-stack orchestration—signaling investment in production hardening and multi-domain system integration rather than early R&D.
Gatik builds and operates autonomous freight networks for retailers and consumer brands across North America. The company operates purpose-built driverless vehicles in real-world delivery routes, combining hardware (vehicle platforms, sensor suites) with software (autonomous driving stack, simulation, orchestration). Their engineering focus spans vehicle architecture, field performance validation, sensor fusion, and high-fidelity simulation for stress-testing autonomous systems. The organization is split between core engineering and HR scaling functions, operating from Mountain View with 201–500 employees.
Gatik uses CAN/Automotive Ethernet for vehicle networking, LiDAR and GPS for perception, ROS 2 and C++/Python for software, Gazebo and custom web-based simulation for testing, and recently added Claude, Gemini, and LangChain for AI-driven workflows and retrieval systems.
Active projects include autonomous vehicle platform architecture, sensor integration for trucks, field performance improvements, high-scale simulation orchestration, and AI agent workflow automation including secure RAG and identity-aware retrieval systems.
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