Autonomous underwater vehicles for defense and maritime operations
Vatn Systems designs and manufactures autonomous underwater vehicles (AUVs) for defense, research, and commercial maritime use. The stack—ROS 2, PyTorch, Jetson, LiDAR, embedded Linux, and MATLAB—reflects a hardware-first autonomy engineering org moving from prototype to production. Current hiring (12 roles across engineering, manufacturing, and sales in the last 30 days) and active projects around electrical system design, NPI integration, and fleet health monitoring signal the transition from R&D into scalable manufacturing and customer delivery.
Vatn Systems builds modular, swarming autonomous underwater vehicles for defense and maritime missions. Founded in 2023, the company operates from Portsmouth, RI with 51–200 employees. The product surfaces autonomy (ROS 2, PyTorch, Jetson), sensing (LiDAR, sonar), and embedded systems (C/C++, Rust, embedded Linux), combined with manufacturing (Fanuc automation, Arena PLM for product lifecycle) and go-to-market infrastructure (Salesforce, NetSuite, SAP for supply chain). Active projects span electrical design, production integration, customer onboarding, fleet monitoring, and strategic inventory planning.
Autonomy: ROS 2, PyTorch, TensorRT, Jetson. Sensing: LiDAR, MQTT. Embedded: C/C++, Rust, embedded Linux. PLM/ERP: Arena, NetSuite, SAP, Dynamics 365. Cloud/DevOps: AWS, Docker, Kubernetes. Testing: SonarQube.
Electrical system design, NPI integration, customer onboarding, fleet health monitoring, production scaling, material flow optimization, and long-lead supply chain strategy for autonomous underwater vehicle manufacturing.
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Vatn Systems'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.