Autonomous uncrewed surface vessels for maritime defense and ocean intelligence
Saildrone builds autonomous maritime vehicles, and its stack shows the split: C++, Bazel, NVIDIA Jetson and TensorRT for onboard perception, with Go, gRPC and Kubernetes on AWS for shore-side fleet systems. Teamcenter, Tulip and CNC point to in-house manufacturing. Finance pain points around DCAA/DCMA compliance and scaling accounting signal a company maturing into a defense prime-style contractor, while Terraform and Okta Workflows adoption shows infrastructure and identity automation underway.
Saildrone is a privately held maritime defense company headquartered in Alameda, California, with 201–500 employees. It designs, manufactures and operates autonomous surface vessels that carry sensor payloads for persistent intelligence, surveillance and threat detection at sea. Its capabilities also span ocean mapping, bathymetry, hydrography and monitoring of activities such as illegal fishing. The company sells to defense customers and runs engineering, operations, manufacturing and finance teams in the United States.
Saildrone uses C++, Python, Go and TypeScript with Bazel, NVIDIA Jetson and TensorRT for edge AI, plus AWS, Kubernetes, PostgreSQL, gRPC and Protocol Buffers. It is adopting Terraform and Okta Workflows.
Saildrone is headquartered in Alameda, California, and currently hires in the United States.
Current initiatives include deploying real-time perception models, firmware for its uncrewed surface vessels, automated security for drones and shore infrastructure, mission planning, and DCAA/DCMA compliance support.
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Saildrone'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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