Reliability Engineer-IIoT & Connected AssetsWe are scaling our IIoT and connected-maintenance product into new product lines and expansion projects, and we need a reliability engineer who can lead that technical growth. The role is built around understanding why equipment fails — mechanically and electronically — and translating that understanding into the right technology to measure, detect, and prevent those failures. The engineer moves fluidly between the desk, the bench, and the field: reading drawings and manuals to understand the equipment and process, analyzing failure mechanisms to find true root cause, getting hands-on to build and test prototypes, and proving the value of solutions with data and a sound business case. A core part of the role is choosing the correct sensors for industrial process and equipment measurement, writing their technical specifications, testing them on prototypes, and relating the resulting readings to the algorithms that detect failures early enough to prevent them. This person owns the technical discovery-to-pilot loop — running failure-mode analysis, selecting detection technologies, and building and field-testing prototypes as proofs of concept inside the IIoT product, then translating validated findings into a development roadmap. They work in an agile team, one of several reliability engineers each focused on a different product line but sharing the same approach, with the autonomy to research, propose, pilot, and present solutions, and regular exposure to cross-functional teams and management.
Job Duties:- Understand the equipment, systems, and process
- Investigate failures and determine root cause
- Research detection technology and select sensors
- Build prototypes, run pilots and PoCsIntegrate with the IIoT product and shape the roadmap
- Organize and standardize failure data
- Drive KPIs, deployment, and stakeholder engagement
Qualifications
Education:
Bachelor's degree in Electronics, Electrical, or Mechanical Engineering (or closely related field). Equivalent practical experience will be considered.
Experience:
5+ years in reliability, maintenance, failure analysis, test, or equipment/instrumentation engineering.
Technical Skills & Knowledge:
Reliability & failure analysis: Reliability, maintainability, availability & risk management (RAM); failure analysis / root cause; FMEA / FMECA; reliability block diagrams; Weibull analysis; tribology.
Instrumentation & sensing: Sensors for process and equipment measurement in industrial environments; sensor selection; technical specification writing; bench and prototype testing; relating readings to failure-detection algorithms.
Condition Monitoring & Equipment Diagnostics: Hydraulic systems, lubrication systems, oil condition monitoring, fluid analysis, vibration analysis, thermal monitoring, and failure detection techniques.
Controls & industrial connectivity: Control systems, SCADA, PLCs, and closed control loops; industrial communication protocols (CAN bus / J1939, MQTT, OPC, Modbus).Maintenance strategies & asset management: Condition-based, preventive, run-to-failure, and failure-finding strategies; condition-monitoring techniques; asset management.
Digital & data: Digital transformation / machine learning / Industry 4.0; business intelligence (e.g., Power BI); data extraction and analysis.
Cost & business: Life-cycle cost; financial analysis for business cases (TCO, NPV, ROI, IRR, cost Pareto and trending).Systems & process: SAP (PM module); project management; agile ways of working; management of change; operations and equipment knowledge across PSLs.
HSE & continuous improvement: HSE basics and safe driving; continuous-improvement certification (e.g., CI Bronze / Red level).
Core Competencies:
Continuous improvement; innovation and creative thinking. Agile ways of working — planning and delivering in short, iterative cycles. Systematic Problem Search & Understanding Results Analysis & Data-Driven Evaluation Business acumen — understanding the business and customer needs and developing new opportunities. Ability to extract and leverage the right data for the right reasons. Influencing people, creating relationships, and digital communication across functions. Decision-making, including operational decisions; managing change; planning and organizing.
Working Conditions:
On-site role in Houston with regular access to desk, lab/prototyping bench, field and shop areas. Field and shop visits involve standard industrial environments and PPE; travel is expected (estimated 20–40%) to field and shop locations, domestic and international.