Robotic terraforming for flood mitigation and land elevation
Terranova deploys car-sized robots that inject wood slurry underground to permanently elevate properties and infrastructure out of flood zones. The stack—Python, C++, PyTorch, JAX, ROS 2, plus embedded firmware (STM32, FreeRTOS, Zephyr)—reflects a robotics org balancing real-time autonomy, ML perception, and hardware-level reliability. Hiring is intern-heavy (6 of 16 roles) and engineering-focused (12 of 16), suggesting rapid scaling of field operations and prototype validation cycles; concurrent work on perception models, simulation, and field debugging points to early-stage deployment challenges around latency constraints and machine reliability in harsh environments.
Notable leadership hires: Business Development Director, Chief of Staff
Terranova builds autonomous robotic systems for land elevation and flood resilience. The core product is a four-robot fleet (three operational units plus a mothership) capable of lifting one acre by one foot daily through precision subsurface injection of pulp slurry, with no surface disturbance. The company operates from Berkeley and targets infrastructure owners, municipalities, and development projects seeking proactive flood protection. Active work spans hardware design for harsh field conditions, ML-based perception and motion planning, simulation and hardware-in-the-loop testing, and operational scaling from pilot programs to production deployment.
Core stack includes Python, C++, PyTorch, JAX, ROS 2, and embedded firmware (STM32, FreeRTOS, Zephyr). CAD tools: Onshape, SolidWorks, Fusion 360. PCB design: KiCad, Altium. Communications: I2C, UART, CAN.
Large-scale robotic system deployment, ML perception and planning models, hardware-in-the-loop simulation, coastal and wetland restoration, field reliability testing, and scaling pilot programs to production.
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