Autonomous reach trucks with remote operator oversight for warehouse logistics
Third Wave Automation builds autonomous reach trucks paired with a shared autonomy platform—ML models handle routine operation while remote humans intervene only when needed. The tech stack (Python, PyTorch, TensorFlow, ROS, Kubernetes) is optimized for real-time robotics and fleet orchestration. Engineering-heavy hiring (5 of 8 roles) focused at senior and lead level, combined with active projects on continual learning and CI/CD infrastructure, suggests they're scaling both the autonomous capabilities and the deployment automation required to ship units onsite in weeks rather than months.
Notable leadership hires: Tech Lead
Third Wave Automation manufactures autonomous reach trucks designed for warehouse and third-party logistics operations. The core product, the TWA Reach, operates via shared autonomy—a system that pairs machine learning decision-making with remote human oversight, enabling faster deployment and safer workflows by keeping operators out of high-risk environments. The platform includes ArmadaFMS for intelligent fleet management. The company operates at 51–200 employees across United States-based engineering, data, operations, and product functions, focused on reducing deployment friction and improving autonomous navigation and reliability at scale.
Python, C++, PyTorch, TensorFlow, GCP, AWS, ROS, Kubernetes, Helm, Terraform, and Bazel. The stack emphasizes robotics middleware (ROS), ML frameworks, and infrastructure-as-code tooling for fleet orchestration.
Union City, California. All current hiring is in the United States.
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