Forward Deployment Engineer

Forward Deployment Engineer Role Type: Full-Time / TandM 40/hrs. a week/ day shift Salary: To be negotiated Experience: A minimum of 5 years experience Education: PHD To apply for this role, please send your resume to View email address on click.appcast.io Company Overview DOLGO's mission is to preserve the mission-critical expertise that keeps maritime operational through a technology-, data-, and human-centered approach. We are a Synthetic Anthropology business which, in simple terms, is the study of sociology with artificial intelligence and computational modeling The Role Field experience working as a Forward Deployed Engineer on how to deploy complex software into legacy heavy-industry environments. 1. Field Engineering and Edge Computing: Proven experience deploying complex software, IoT, or AI systems in physical, legacy, or heavy-industry environments. You know how to troubleshoot distributed systems outside the comfort of a standard office network. 2. Complexity Science and Applied Mathematics: A strong foundational understanding of network effects, non-linear system dynamics, and graph theory. Mathematically model human and operational networks to identify knowledge transfer. 3. Distributed Systems and API Architecture: Architecting API-driven backends capable of ingesting data from legacy tools and modern communication platforms while orchestrating the flow of tacit, tribal, and Implicit knowledge. Output from the role 1. Computational Anthropology and Qualitative Data Engineering: Translating ethnographic field observations and human-in-the-loop social dynamics into programmable logic, UI/UX workflows, and algorithmic constraints. 2. Human-Computer Interaction HCI and UI/UX Translation: Translating qualitative, ethnographic field data into hard programmable logic and UI adjustments.Ability to rapidly prototype or script front-end workflow modifications on-site to reduce operational friction for users wearing heavy PPE or working in restricted spaces. Most critical technical capabilities 1. Edge Computing and Distributed Systems Engineering: Ability to deploy, monitor, and troubleshoot software on local edge devices, rugged hardware, and mobile units in environments with intermittent, low-bandwidth, or zero-trust connectivity. 2. Multimodal Data Capture and IoT Troubleshooting: Hands-on technical ability to configure, calibrate, and debug hardware-to-software integrations for acoustic capture (walkie-talkies, microphones), visual telemetry, and mobile endpoints. 3. Network Mathematics and Graph Theory: Applied mathematical skills to model non-linear sociotechnical systems and structural workforce dependencies.