Structural Health Monitoring & Critical Infrastructure Engineer

**Company** **Hypotenuse Analytics** **Type** Full-Time · Remote-Hybrid **Team** Critical Infrastructure Intelligence **ABOUT HYPOTENUSE ANALYTICS** Hypotenuse Analytics is building an AI-powered infrastructure intelligence platform for monitoring critical assets using structural sensors, InSAR, LiDAR, drones and BIM data. We combine these signals with construction and environmental context to understand structural condition, detect anomalies and support predictive maintenance. **AI AT HYPOTENUSE** AI tools are part of how we work. Use them. We evaluate judgment, engineering fundamentals and the quality of your reasoning, not whether you can produce polished AI-generated documents. **ABOUT THE ROLE** We are looking for a Civil/Structural Engineer with hands-on SHM or infrastructure monitoring experience. You will work between the engineering, ML and product teams, helping translate real structural behaviour into data, monitoring and AI requirements. **WHAT YOU WILL WORK ON** Design and review SHM strategies for bridges, buildings, highways and other critical infrastructure. Work with accelerometers, strain, displacement, tilt, temperature and other structural sensors. Analyse sensor time-series data and define baselines, thresholds and meaningful anomalies. Support InSAR-based displacement monitoring and correlation with ground sensors. Work with LiDAR, BIM and digital-twin/FEM workflows. Correlate structural behaviour with construction activities, weather and site conditions. Work with ML engineers to validate model outputs against structural and physical behaviour. Support pilot deployments, site surveys, sensor validation and technical reporting. **WHAT WE ARE LOOKING FOR** B.Tech/B.E. in Civil or Structural Engineering; M.Tech/M.S. is a plus. 1–4 years of experience in SHM, structural monitoring, instrumentation or structural engineering. Good understanding of structural behaviour, loads, stress/strain, vibration and deformation. Experience working with structural sensor data or monitoring systems. Ability to interpret engineering drawings and technical documentation. Strong analytical skills and ability to work with ML/software teams. **GOOD TO HAVE** InSAR / SAR, LiDAR, GIS or drone photogrammetry. FEM/FEA, structural dynamics or modal analysis. BIM / Revit / Civil 3D. Python, MATLAB or basic time-series/signal processing. Experience with bridges, tunnels, dams, rail/metro, buildings or construction monitoring. **WHAT WE VALUE** We care about engineering judgment more than a long list of tools. You should be able to look at a sensor anomaly and ask what physical mechanism could have produced it, rather than assuming every threshold breach means the structure is failing.