Engineering technician

GE Vernova, Inc.; Markham; On-site; CAD 70,000 - 95,000; Full time

Job summary

GE Vernova, Inc. in Markham, Ontario, seeks an Engineering Technician to support product development in a cross‑functional team.

You will oversee end‑to‑end activities for new product introductions, including equipment assembly, test preparation, and AI‑assisted diagnostics. Key duties include assembling prototypes and production units, conducting advanced troubleshooting across subsystems, validating AI‑drafted test protocols, and contributing to design optimization and documentation.

Qualifications

• Bachelor's degree in Electrical Engineering or equivalent.
• Minimum 4 years in a hardware-focused technical role.
• System-level diagnostic expertise across complex subsystems.
• Digital proficiency with AI-driven diagnostic and documentation tools.

Responsibilities

• Assemble prototypes and production units, building engineering models.
• Perform advanced troubleshooting with AI diagnostic tools.
• Prepare and validate AI-drafted test protocols against hardware performance.
• Optimize designs and intermodule dependencies.
• Support engineering, manufacturing, and service documentation.

Skills

Troubleshooting

Diagnostics

Documentation

Communication

Team collaboration

Education

Bachelor's degree in Electrical Engineering

Job description

Job Description Summary

The Engineering Technician performs complex assignments in support of product development within a cross-functional environment. This position serves as a key technical resource for the team, responsible for end-to-end support of new product introductions and product support, including equipment assembly, test preparation, advanced system-level troubleshooting, and the integration of AI-driven tools to enhance development and diagnostic efficiency.

Job Description

Roles and Responsibilities

• System Assembly & Construction: Perform complex assembly for both prototype and production units while building and evaluating sophisticated engineering models.
• Advanced Troubleshooting: Conduct comprehensive fault analysis at the subsystem and system levels, leveraging AI diagnostic tools to resolve complex multi-variable issues.
• Testing & Validation: Prepare and execute diagnostic procedures, verifying the accuracy of AI-drafted test protocols against real-world hardware performance.
• Design Optimization: Conduct rigorous diagnostic testing and implement necessary corrections to improve existing designs, processes, and intermodule dependencies.
• Technical Documentation: Support the creation of engineering, manufacturing, and service documentation to ensure operational clarity.
• Operational Support: Provide ongoing technical support for production and field service operations to maintain high-quality system performance.
• Quality Monitoring: Monitor defect trends, communicating critical technical issues to the engineering team.
• Mentorship & Knowledge Sharing: Support training materials development and provide technical guidance to team members, utilizing AI tools to rapidly reference procedures and best practices.

Required Qualifications

• Educational Foundation: Bachelor's degree in Electrical Engineering or an equivalent combination of formal education and hands‑on technical experience.
• Professional Experience: Minimum of 4 years in a hardware-focused technical role, with a proven track record in high‑complexity environments.
• System-Level Diagnostic Expertise: Demonstrated ability to perform advanced troubleshooting across complex, multi-variable subsystems and integrated systems.
• Digital Proficiency: Advanced proficiency in navigating, utilizing, and modifying computerized work systems, including the integration of AI-driven diagnostic and documentation tools.

Desired Characteristics

• Proactive Problem-Solving: Ability to independently identify technical issues, draw logical conclusions, and implement practical solutions with minimal guidance.
• Applied Technical Proficiency: Hands‑on experience with standard electronics lab equipment and a solid grasp of testing methods to validate hardware performance.
• Technical Communication: Capability to interpret complex technical information and translate it into clear, effective verbal and written communication for the team.
• Continuous Learning Mindset: An active interest in staying current with emerging technology and a willingness to adopt new tools, such as AI-assisted workflows.
• Collaborative Autonomy: Proven capacity to manage tasks independently while effectively prioritizing work and supporting team goals.

Additional Information

Relocation Assistance Provided: No