Reliability Engineer-IIoT & Connected Assets (Houston, TX, US, 77032)

Job Duties Understand the equipment, systems, and process Read and interpret mechanical, electrical/electronic, hydraulic, and P&I drawings, OEM service manuals, and specifications. Develop a working understanding of how assets and their sub-systems function within their operating conditions and surrounding process. Assess equipment criticality to focus reliability effort where it delivers the most value. Investigate failures and determine root cause Lead and review failure-mode analysis (FMEA / FMECA) — including analyses produced by the reliability team — and root-cause analysis across mechanical and electronic failure mechanisms. Engage internal and external technology teams, vendors, and subject-matter experts to determine failure mechanisms. Characterize each failure mechanism — how it develops, its measurable symptoms, and the lead time to act — and define how data can be used to identify and prevent it. Research detection technology and select sensors Research and benchmark sensing, monitoring, and diagnostic technologies against each failure mechanism — vibration, oil quality/condition, temperature, pressure, flow, electrical signals/signature, acoustic, and equipment-bus data. Choose the correct sensors for process and equipment measurement in industrial environments; define what to measure, where, and the measurement technique. Select instrumentation and signal types (e.g., 4–20 mA, 0–5 V / 0.5–4.5 V, RTD/thermocouple, digital I/O, CAN / J1939) and define alert/alarm criteria. Write the technical specifications for sensors and instrumentation. Define diagnosis and prognosis logic and health-scoring inputs that detect deviations early, balancing detection confidence against false alarms. Build prototypes, run pilots and PoCs Propose hypotheses and validate them with data; specify, source, wire, and assemble sensor kits, edge hardware, and electronic prototypes. Test sensors on prototypes and validate the quality of their readings. Get hands-on and "feet in the mud" — install, instrument, and test on real equipment in the lab, shop, and field; capture and validate data quality. Design and run pilots and PoCs end-to-end with clear success criteria; measure results and iterate. Account for field reality throughout: hazardous-area constraints, ruggedization, packaging/enclosures, connectivity, and serviceability. Integrate with the IIoT product and shape the roadmap Work as part of the team — with the IIoT Product Manager, technology, and development teams — to integrate validated sensors and prototypes into the current IIoT solution across the Detect – Design – Deploy cycle. Relate sensor readings to failure-detection logic and hand PoC results to the development team to build new monitoring algorithms. Propose validated use cases and partner with the Product Manager to agree on a prioritized development roadmap. Engage software/architecture developers, SMEs, and OEM/sensor vendors to align technical decisions and unblock execution. Organize and standardize failure data Organize failure data and build a standardized failure d