Autonomous maritime systems for defense intelligence and ocean operations
Saildrone builds uncrewed surface vehicles for military intelligence, surveillance, and maritime security in extreme ocean environments. The stack reflects a hardware-first, software-intensive operation: embedded Linux (Yocto, NXP i.MX8), real-time compute (NVIDIA Jetson, TensorRT), cloud infrastructure (AWS Lambda, SQS, Kubernetes), and classical control (Kalman filters). The hiring profile is engineering-dominant (16 roles) with acute manufacturing and supply-chain focus (4 manufacturing + 6 ops roles), matched against pain points in scaling production, electrical reliability, and meeting defense timelines—indicating a company transitioning from prototype to operational deployment.
Saildrone designs and operates autonomous maritime platforms engineered for defense missions including persistent ISR, threat detection, and wide-area ocean intelligence. The product combines AI-driven autonomy, advanced sensor payloads, and long-duration renewable-powered endurance to operate in remote, hostile ocean environments. Core competencies span embedded systems (onboard software stack, Linux computer bring-up, complex PCB design), cloud-connected command and control, and validation against maritime and defense standards. The company is actively scaling manufacturing footprint and supply-chain architecture to support global defense deployments.
Embedded: C++, Yocto Linux, NXP i.MX8, Altium 365 (PCB design), NVIDIA Jetson, TensorRT. Cloud: AWS (Lambda, SNS, SQS), Kubernetes, PostgreSQL. Auth/ops: Okta, OAuth, OIDC, Ansible. Build: Bazel, NX.
Alameda, California. The company is privately held with 201–500 employees, currently hiring exclusively in the United States.
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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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