Powertrain Controls Engineer Jobs in Ontario (NOW HIRING)

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Scope of Position

• Supports the controls, connectivity, and data collection systems of manufacturing equipment, assembly lines, test stands, CNC machines, robotics, programmable controllers, sensor networks, and real-time monitoring systems to enable Industry 4.0 initiatives.

Minimum Requirements

• Bachelor's Degree in Engineering, Mechatronics, Electrical Engineering, Computer Engineering, Industrial Automation, or related technical field.
• 3-5 years of experience in manufacturing, controls engineering, industrial automation, or Industrial IoT environments.
• Strong understanding of manufacturing processes and production equipment.
• Experience working in automotive Tier-1 or Tier-2 manufacturing environments preferred.
• Experience supporting plant launches and automation projects is considered an asset.
• Strong analytical and troubleshooting skills.
• Excellent communication and collaboration skills.
• Ability to work independently and manage multiple priorities.

Vacancy: Immediate, Open Position

Annual Compensation Range: $70,000 to $80,000

Job Specific Responsibilities

• Troubleshoots production equipment and automation systems, including PLCs, CNC machines, robotics, sensors, and associated infrastructure.
• Develops and implements machine connectivity solutions using DBXX standards, CBM architecture, OPC UA, MQTT, Modbus, and industrial networking protocols.
• Programs, configures, and supports PLCs, HMIs, industrial devices, and acquisition systems used throughout the operation.
• Develops specifications for data extraction, sensor integration, and system interfaces.
• Designs and implements automation and Industrial IoT solutions for equipment monitoring, testing, and performance analysis.
• Supports installation, commissioning, debugging, and validation of automation, digitalization, and Industry 4.0 initiatives.
• Collaborates with Engineering, Maintenance, Operations, IT, and vendors to deploy technology solutions that improve efficiency and reliability.
• Develops and supports JavaScript, Python scripts, SQL queries, APIs, and automated workflows to collect, process, and analyze operational information.
• Creates and maintain Grafana dashboards to improve live data visibility, reduce downtime, and support continuous improvement.
• Supports predictive maintenance and condition-based initiatives through sensor deployment and trend analysis.
• Utilizes problem-solving techniques such as 8D, root cause analysis, design of experiments, and mistake proofing to resolve technical issues and improve performance.
• Assists in defining project scope, estimating costs, and evaluating investments related to automation, digitalization, and Industry 4.0 projects.
• Maintains knowledge of emerging technologies, industry standards, and best practices related to smart manufacturing and Industrial IoT.
• Interfaces with machine builders, controls engineers, and product engineers to integrate automation, reporting, and equipment performance requirements.
• Supports standardization and continuous improvement efforts related to DBXX implementation, machine integration, and facility-wide data architecture.
• Familiarity with Allen-Bradley and Siemens PLCs, HMI development, CNC machine controls, robotics integration, Ethernet/IP, Profinet, and Modbus TCP/IP is required.
• Must possess working knowledge of CBM, DBXX, OPC UA, MQTT, Kepware, Ignition, JavaScript, Python, SQL, Power BI, Grafana, sensor integration, predictive maintenance, and Industry 4.0 technologies.

AI Disclosure:

As part of our commitment to a fair, consistent, and efficient recruitment process, we may artificial intelligence (AI) tool 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 with our systems and is handled in accordance with our privacy and data protection policies.

If you have any questions or concerns about this process, feel free to contact our Talend Attraction team.

At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

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.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.