Key responsibilities:
* capital projects & equipment integration: provide technical maintenance support for all
* new machining equipment related to capital projects, ensuring smooth integration and
* startup.
* equipment redesign & upgrades: lead redesign initiatives for outdated or failing machine
* components to extend equipment lifecycle and improve performance.
* strategic maintenance planning: develop and implement sustainable, cost-efective
* maintenance strategies to maximize equipment availability and reliability throughout its lifecycle.
* preventive & predictive maintenance: champion predictive and condition-based maintenance programs by introducing advanced diagnostic tools and data-driven methodologies.
* troubleshooting & repair supervision: diagnose complex mechanical and electrical
* issues, oversee repair operations, and guide technicians in resolution and execution.
* quality control: verify and inspect the quality of completed maintenance work to ensure adherence to operational standards.
* system updates & optimization: maintain and modify system parameters as needed to improve machine performance and reduce downtime.
* root cause analysis: lead root cause investigations on recurring issues to identify longterm solutions and prevent reoccurrence.
* process improvement: identify opportunities to improve maintenance processes, reduce costs, and enhance equipment eficiency and performance.
* data analysis & reporting: analyze statistical maintenance data to support decisionmaking
* and optimize scheduling and resource allocation.
qualifications:
* bachelor's degree in mechatronics (preferred), mechanical, electrical, or industrial
* engineering (or related field).
* 3+ years of experience in maintenance engineering within a manufacturing environment, preferably in the trucking or heavy equipment industry.
* strong knowledge of mechanical and electrical systems, diagnostic tools, and maintenance software.
* experience with cmms (computerized maintenance management systems) and maintenance scheduling tools.
* solid understanding of predictive maintenance techniques and root cause analysis methodologies.
* excellent leadership, organizational, and communication skills.
* knowledge of automation.
* electrical knowledge.
* automation robots, plc.
* abb, siemens plc.