{"id":1195157,"url":"https://alion.io/job/halliburton-overseas-limited-nigata-base-reliability-engineer-iiot-connected-assets","title":"Reliability Engineer-IIoT & Connected Assets","company":{"id":5054,"name":"Halliburton","domain":"halliburton.com","url":"https://alion.io/company/halliburton-corp","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":6685,"max":11030,"currency":"USD","period":"month","gross":null,"usd_annual":132360},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Machine Learning","optional":false},{"name":"MQTT","optional":false},{"name":"PoC Library","optional":false},{"name":"Power BI","optional":false}],"status":"live","first_seen_at":"2026-09-04T07:00:00Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-09-25T05:06:18Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.\nPosition Summary\nWe 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.\nThe 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.\nThis 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.\nJob Duties\nUnderstand the equipment, systems, and process\nRead and interpret mechanical, electrical/electronic, hydraulic, and P&I drawings, OEM service manuals, and specifications.\nDevelop a working understanding of how assets and their sub-systems function within their operating conditions and surrounding process.\nAssess equipment criticality to focus reliability effort where it delivers the most value.\nInvestigate failures and determine root cause\nLead and review failure-mode analysis (FMEA / FMECA) - including analyses produced by the reliability team - and root-cause analysis across mechanical and electronic failure mechanisms.\nEngage internal and external technology teams, vendors, and subject-matter experts to determine failure mechanisms.\nCharacterize 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.\nResearch detection technology and select sensors\nResearch 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.\nChoose the correct sensors for process and equipment measurement in industrial environments; define what to measure, where, and the measurement technique.\nSelect 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.\nWrite the technical specifications for sensors and instrumentation.\nDefine diagnosis and prognosis logic and health-scoring inputs that detect deviations early, balancing detection confidence against false alarms.\nBuild prototypes, run pilots and PoCs\nPropose hypotheses and validate them with data; specify, source, wire, and assemble sensor kits, edge hardware, and electronic prototypes.\nTest sensors on prototypes and validate the quality of their readings.\nGet 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.\nDesign and run pilots and PoCs end-to-end with clear success criteria; measure results and iterate.\nAccount for field reality throughout: hazardous-area constraints, ruggedization, packaging/enclosures, connectivity, and serviceability.\nIntegrate with the IIoT product and shape the roadmap\nWork 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.\nRelate sensor readings to failure-detection logic and hand PoC results to the development team to build new monitoring algorithms.\nPropose validated use cases and partner with the Product Manager to agree on a prioritized development roadmap.\nEngage software/architecture developers, SMEs, and OEM/sensor vendors to align technical decisions and unblock execution.\nOrganize and standardize failure data\nOrganize failure data and build a standardized failure database.\nDocument findings, designs, and standards (sensor selection, install standards, health logic by sub-system) so they scale across equipment types and product lines.\nExtract and leverage the right data - for the right reasons - to support detection, prevention, and decisions.\nDrive KPIs, deployment, and stakeholder engagement\nEngage product-line and area operations leaders through weekly meetings to drive the deviation / anomaly review process.\nPropose and track KPIs to measure reliability improvement and program success.\nLead technology deployment within the area, including stakeholder communication and end-user training.\nPlan and deliver work in an agile cadence as part of the reliability team.\nBuild business cases and lifecycle / cost reporting\nProduce equipment life and reliability reports and total-cost-of-ownership (TCO) analyses.\nBuild business cases (e.g., life-cycle cost, NPV, ROI) to justify and fund the development of technology solutions.\nPresent findings, prototype results, and recommendations clearly to peers and management\nQualifications\n Education: Bachelor’s degree in Electronics, Electrical, or Mechanical Engineering (or closely related field). Equivalent practical experience will be considered.\nExperience: 5+ years in reliability, maintenance, failure analysis, test, or equipment/instrumentation engineering.\nFailure mechanisms: Working understanding of both mechanical and electronic failure mechanisms and how they progress.\nFailure analysis: Hands-on experience running FMEA / FMECA and root-cause analysis on physical equipment.\nSensors & instrumentation: Practical knowledge of sensors for process and equipment measurement in industrial environments - selecting the correct sensors, writing technical specifications, testing on prototypes, and relating readings to failure-detection logic.\nHands-on prototyping: Able to build, wire, and test electronic and sensor prototypes - not only specify them on paper.\nProblem-solving & autonomy: Self-directed - able to scope, research, propose, run, and report on work with limited supervision, while contributing as part of a team.\nLocation & travel: Based in Houston, on-site, and willing/able to travel to equipment and shop locations.\nTechnical Skills & Knowledge\n Reliability & failure analysis: Reliability, maintainability, availability & risk management (RAM); failure analysis / root cause; FMEA / FMECA; reliability block diagrams; Weibull analysis; tribology.\nInstrumentation & 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.\nCondition Monitoring & Equipment Diagnostics: Hydraulic systems, lubrication systems, oil condition monitoring, fluid analysis, vibration analysis, thermal monitoring, and failure detection techniques.\n Controls & industrial connectivity: Control systems, SCADA, PLCs, and closed control loops; industrial communication protocols (CAN bus / J1939, MQTT, OPC, Modbus).\nMaintenance strategies & asset management: Condition-based, preventive, run-to-failure, and failure-finding strategies; condition-monitoring techniques; asset management.\n Digital & data: Digital transformation / machine learning / Industry 4.0; business intelligence (e.g., Power BI); data extraction and analysis.\n Cost & business: Life-cycle cost; financial analysis for business cases (TCO, NPV, ROI, IRR, cost Pareto and trending).\n Systems & process: SAP (PM module); project management; agile ways of working; management of change; operations and equipment knowledge across PSLs.\n HSE & continuous improvement: HSE basics and safe driving; continuous-improvement certification (e.g., CI Bronze / Red level).\n Preferred / Nice-to-Have\nEmbedded/electronics prototyping depth: microcontrollers, data loggers, edge devices, wiring, and sensor integration.\nExperience in industrial, heavy-equipment, or rotating-equipment environments, hydraulic power units, pumps, engines, including control systems and industrial networks.\nExperience selecting, specifying, and deploying instrumentation in hazardous locations, including Class I Div 2, ATEX, and IECEx environments.\nCore Competencies\nContinuous improvement; innovation and creative thinking.\nAgile ways of working - planning and delivering in short, iterative cycles.\nSystematic Problem Search & Understanding\nResults Analysis & Data-Driven Evaluation\nBusiness acumen - understanding the business and customer needs and developing new opportunities.\nAbility to extract and leverage the right data for the right reasons.\nInfluencing people, creating relationships, and digital communication across functions.\nDecision-making, including operational decisions; managing change; planning and organizing.\nWorking Conditions\nOn-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.\nCandidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available, including Senior Technical Professional.\nWorld Class Benefits:\nAt Halliburton, we're committed to providing you and your family with a comprehensive and affordable benefits package - which means we offer support for your physical, emotional, financial and parental needs, both now and in the future. When you join our team, you'll have access to a wide range of resources designed to help you thrive at work and at home. By clicking here, you can review a summary of the benefits available once you join.\nHalliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.\nLocation\n3000 N. Sam Houston Parkway E., Houston, Texas, 77032, United States\nJob Details\nRequisition Number: 210161\nExperience Level: Experienced Hire\nJob Family: Engineering/Science/Technology\nProduct Service Line: Maintenance PSL\nFull Time / Part Time: Full Time\nAdditional Locations for this position:\n Compensation Information\nCompensation is competitive and commensurate with experience.\nTech Prof-Maintenance: $6,685 - $11,030/Month\nTech Prof-Maintenance, Sr: $7,828 - $12,916/Month","description_format":"text","description_chars":11756,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Petroleum & Mining Engineering","Oil & Gas"],"lifecycle":[{"event":"open","at":"2026-09-24T18:37:58Z"}],"liveness":{"score":55,"band":"ok","label":"Likely open","p_open":1,"p_active":0.733,"p_room":0.75,"age_days":20,"expected_fill_days":22,"reasons":["conf:0","win:late","comp:brand"],"computed_at":"2026-09-25T05:45:01Z"},"pay":{"stated_usd_annual":132360,"is_top_pay":false},"html_url":"https://alion.io/job/halliburton-overseas-limited-nigata-base-reliability-engineer-iiot-connected-assets","json_url":"https://alion.io/job/halliburton-overseas-limited-nigata-base-reliability-engineer-iiot-connected-assets.json","meta":{"generated_at":"2026-09-26T02:01:38Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2018,"day_limit":5000,"remaining_today":2982,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}