Blue Water Autonomy is building fully autonomous ships with a hardware-first engineering organization (23 of 26 hires are engineers). The stack spans embedded systems (C++, CUDA, ROS 2), cloud orchestration (Kubernetes, AWS, GCP), and marine-grade simulation and CAD tools (ANSYS, Solidworks, LabVIEW), reflecting the complexity of autonomous maritime operations. Active projects reveal a company scaling simultaneously on three fronts: perception and sensor fusion for ocean environments, core platform software and hardware systems, and international business development—a tension visible in their stated pain points around balancing rigor with speed and expanding reliability infrastructure.
Blue Water Autonomy designs and fields autonomous ships for U.S. Navy and commercial customers. The team operates from Boston with 11–50 employees, predominantly engineers working on autonomous maritime platforms. Their work spans perception systems for maritime navigation, sensor data pipelines optimized for ocean conditions, core hardware architecture for shipboard deployment, and field testing on live vessels. The company is actively hiring across engineering roles (mid-level, lead, and junior) and accelerating recruitment, with all positions currently posted in the United States.
Autonomous ships designed for U.S. Navy and commercial customers. The platform includes perception and sensor fusion for maritime navigation, core hardware systems, software for autonomous fleet operations, and associated field testing and calibration capabilities.
Embedded (C++, CUDA, ROS 2, Linux), cloud (AWS, GCP, Kubernetes), simulation and CAD (ANSYS, Solidworks, LabVIEW, Mathcad), and backend (PostgreSQL, Python, Go, JavaScript). The mix reflects both ship-grade reliability requirements and rapid iteration demands.
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