Magna is looking for a Smart Factory Manager to lead a team responsible for developing software to support digitizing production lines and implementing streaming machine controls.
Compensation
Starting at $110,000 US & CAD
Responsibilities
Develop and implement modern smart factory solutions that connect legacy manufacturing equipment to scalable digital infrastructure.
Design, deploy, and maintain Industrial IoT (IIoT) applications operating both on-premises and in cloud environments.
Build and manage cloud-native infrastructure using Infrastructure as Code (IaC) methodologies, including Terraform.
Develop and support AWS-based solutions for leveraging services such as AWS IoT, AWS Lambda, AWS Bedrock, and AgentCore for AI-driven manufacturing and operational use cases.
Design and implement AI-enabled workflows, intelligent agents, and automation solutions to improve operational efficiency and decision-making.
Lead Mayan-based automation initiatives supporting tool installation and warranty phases, combining technical leadership with disciplined program execution to improve installation consistency, reduce warranty exposure, and drive scalable automation across factory and field operations.
Compensation
$120,000.00 - $165,000.00
Responsibilities
Lead and develop a team of engineers for Mayan automation programs
Own end-to-end execution of Mayan automation for installation and warranty programs
Partner with stakeholders to identify install pain points and cost‑reduction opportunities
Oversee development of test plans, scripts, diagnostics, and troubleshooting workflows
Drive test automation, modularization, and standardization of testing
Requirements
Bachelor’s degree in Engineering or a related technical discipline
Lead Mayan automation initiatives supporting tool installation and warranty phases, combining technical leadership with disciplined program execution to improve installation consistency and reduce warranty exposure.
Compensation
Salary: $120,000.00 - $165,000.00
Responsibilities
Lead and develop a team of engineers for Mayan automation programs across SPG BUs
Own end-to-end execution of Mayan automation for installation and warranty programs
Partner with BU Intelligence and Install/Warranty stakeholders to identify pain points and cost‑reduction opportunities
Oversee development and continuous improvement of test plans, Mayan scripts, diagnostics, and troubleshooting workflows
Drive test automation, modularization, and standardization of testing, execution, and reporting
Requirements
Bachelor’s degree in Engineering or a related technical discipline
The role focuses on partnering with business and technology stakeholders to craft and execute transformation strategies in Cognitive Manufacturing, focusing on Industry 4.0, AI/ML, GenAI, IoT, and smart factories.
Responsibilities
Lead defined workstreams at Manufacturing clients to address pressing industry issues related to updating and transforming manufacturing facilities and value chains.
Analyze and improve processes across customer experience, R&D, NPI, product industrialization, parts reuse, engineering change, end-to-end supply chain, manufacturing, distribution, quality, maintenance, service, sales, HR, finance.
Facilitate stakeholder interviews, current-state assessments, process walkthroughs, design workshops and future-state working sessions across business, engineering, manufacturing, quality, supply chain, IT, OT and service teams.
Document current-state processes, root causes, pain points, data flows, business rules, system dependencies, manual workarounds and value leakage across the manufacturing value chain.
Develop future-state process concepts and capability maps that connect NPI, engineering change, parts reuse, EBOM-MBOM-SBOM alignment, process planning, production execution, quality, maintenance, logistics and service feedback.
Provide unified leadership for Technology and Engineering to define and execute the technology roadmap for automation, robotics, digital manufacturing, and industrialisation across the Singapore Component Repair operations.
Responsibilities
Define and lead the multi-year technology strategy for the Singapore Component Repair plants.
Unify technical functions including Special Processes, Automation & Robotics, Machining, Tooling, and NPI under a cohesive strategy.
Ensure robust process capability, methods, and problem-solving that support quality, delivery, and cost objectives.
Own and execute a Smart Factory roadmap covering automation, robotics, MES/PLM/SCADA integration.
Identify, prioritize, and industrialise high-value digital and AI/ML use cases.
Requirements
Bachelor’s degree in Engineering (Manufacturing, Electrical, Mechatronics or related field)
We are a leading company in the wireless broadband communications industry looking for talented professionals with a winning attitude.
Job Description
C-FPM-APM-08
Education
Work Experience
Language
Skills
Career Development、 Defining Roles And Responsibilities、 Distributed Control System (DCS)、 Diversity Strategies、 Engineering Management、 Evaluating Staff、 Global Mobility Programs、 High Potential Identification、 HR Strategy、 Industrial Control System、 Leadership Training and Development、 Lean Enterprise、 Organizational Effectiveness、 Process Control、 Production Management、 Programmable Logic Controllers Programming、 Project Commissioning、 Project Engineering、 Six Sigma、 Smart Factory、 Smart Manufacturing、 Supervisory Control and Data Acquisition (SCADA)、 Transferable Skills Analysis、 Tridium/Niagara Framework、 Value Stream Mapping (VSM)
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