Advance Engineer
Indexed description
Group Summary
Magna is an innovative leader in the development and manufacturing of high quality complete seating systems. Our solution includes seating structures, mechanisms and hardware, as well as foam and trim products for global automotive, heavy truck and bus industries. Our capabilities include market and consumer research; full concept development; design and engineering capabilities; testing, validation and world-class manufacturing. Our award-winning seating solutions are developed from consumer research, finding the ease of operation to be comfortable, convenient and connected.
Job Responsibilities
We are seeking an experienced and forward-thinking Advanced Manufacturing Engineer to lead the deployment of digitization, automation, and smart manufacturing technologies across our operations. This role is critical to advancing our plant’s Industry 4.0 initiatives, improving efficiency, elevating data visibility, and driving continuous improvement through modern manufacturing solutions.
Key Responsibilities
- Lead the planning, execution, and validation of automation and digitization projects, including robotics, IIoT systems, MES enhancements, machine connectivity, and data analytics tools.
- Evaluate manufacturing processes and identify opportunities for automation, data collection, and smart technology implementation.
- Support deployment and integration of Industrial IoT sensors, machine monitoring platforms, digital work instructions, and connected operator tools.
- Collaborate with IT, Engineering, Maintenance, and Production teams to ensure seamless commissioning of advanced technology solutions.
- Program, troubleshoot, and optimize automation systems—including PLCs, robots, and vision systems—as part of project deliverables.
- Develop and maintain engineering documentation including PFMEAs, process flows, control plans, and standard work with a digitization-first approach.
- Lead data-driven continuous improvement projects using OEE, downtime analytics, and machine data to drive performance gains.
- Manage vendor relationships and oversee installation, commissioning, and acceptance of new automated equipment.
- Train cross-functional teams on new technologies, ensuring adoption and long-term sustainability.
- Ensure all digitization and automation initiatives comply with safety standards, cybersecurity protocols, and company policies.
- Lead integration projects for new robotic cells, conveyors, end-of-arm tooling, and machine vision systems.
- Perform root cause analysis and corrective actions on automation-related downtime.
- Support plant engineering teams with continuous improvement initiatives to improve cycle time, quality, and throughput.
- Create and maintain documentation: schematics, preventive maintenance plans, and programming standards.
- Train maintenance and production staff on robotic system operation and safety procedures.
- Ensure compliance with OSHA, MIOSHA, and company safety standards.
- Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, Mechatronics, or related field.
- 3+ years of experience in manufacturing engineering, automation engineering, or Industry 4.0 deployment.
- Hands-on experience with PLCs, robotics systems, SCADA/MES platforms, or IIoT devices.
- Strong understanding of data collection, machine connectivity, and industrial communication protocols.
- Experience leading complex technical projects within a manufacturing environment.
- Familiarity with Industry 4.0 platforms, digital twins, or automated quality
AI-Assisted Screening Disclosure
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
Worker Type
Regular / Permanent
Group
Magna Seating
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search