Autonomous maritime systems and defense manufacturing for naval operations
BlackSea Technologies builds unmanned surface vessels and autonomy platforms for defense customers, with a tech stack spanning embedded systems (C++, PX4, Pixhawk, ArduPilot), cloud infrastructure (Kubernetes, Docker), and manufacturing CAD (SolidWorks, Altium, Mastercam). The company is actively adopting RAG, signaling a push toward AI-assisted autonomy and data pipelines. Engineering dominates the hiring mix (12 of 19 open roles), with concurrent focus on manufacturing and CI/CD integration — reflecting a scaled production cadence and push to automate fielding cycles.
BlackSea Technologies delivers autonomous maritime platforms and mission-support systems to government customers across defense and naval operations. The product line spans unmanned surface vessels, modular payloads, at-sea sustainment, and expeditionary logistics infrastructure. The company operates a vertically integrated model: design (rapid prototyping, preliminary design, concept studies), production (scaled manufacturing lines), and fielding support (deployed systems, edge connectivity, network resilience). Teams bring naval engineering and special operations domain expertise. The Baltimore-based firm is privately held with 201–500 employees and hires exclusively in the United States.
Core stack: C++, Python, Docker, Kubernetes for autonomy and cloud services. Embedded: PX4, Pixhawk, ArduPilot, Starlink. CAD/design: SolidWorks, Altium Designer, Rhino, Mastercam. ERP/business: SAP, Oracle, Business Central, Deltek, Jira. Currently adopting RAG for AI-assisted tooling.
Active projects include core autonomy platform development, mesh networking architecture, AI-assisted tools, CI/CD integration, prototype systems for military and commercial programs, data pipelines, and modifications to existing marine systems. Pain points center on autonomous fleet communication, edge connectivity resilience, and securing autonomous networks.
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BlackSea Technologies'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 →
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