Top Engineering Jobs in Toronto, ON

Develop, test, and maintain CAM automation (HyperMill) workflows, macros, and tool libraries; align CAD/design libraries to support feature recognition; coordinate between Design, Machining, IT, and suppliers; standardize machining processes and tooling templates; provide training, documentation, and shop-floor support; analyze and improve automation performance.

Analyze and optimize tooling, assembly and joining processes for automotive body and chassis. Lead process improvements, PFMEA, root cause analysis, fixture design, automation and data-driven decisions. Support project planning, client communication, and cross-functional execution while ensuring quality and delivery.

Develop and validate static and dynamic discrete-event/agent-based simulation models to improve throughput, de-bottleneck, and optimize material flow in automotive production. Collect and analyze process data, run what-if scenarios, perform statistical analyses and DOE, estimate resources and fleet needs, and provide data-driven recommendations while interacting with stakeholders and managing project data.

Lead and support R&D and manufacturing projects from concept through deployment. Manage milestones, budgets, testing, fabrication, and installation. Develop and validate automation, machine vision, control systems, and data-driven solutions. Perform engineering analyses (DFMEA, DFA, DFM, GD&T), troubleshooting, process optimization, and hands-on equipment programming and testing. Collaborate across teams and drive continuous improvement.

Design and govern solution and target architectures across IT and OT, focusing on IoT and hybrid infrastructures (on-premise, edge, cloud). Conduct business and system analyses, define target architectures, evaluate demands for compliance, provide governance during implementation, maintain artifacts in LeanIX, and coach stakeholders. Includes international travel.

Lead R&D and manufacturing projects from concept to launch, manage milestones, budgets and resources, design and validate automation and machine vision systems, perform hands-on testing and machine programming, conduct engineering analyses (DFMEA, DFA, DFM, GD&T), drive continuous improvement and ensure compliance with automotive quality standards.

Lead die process and development projects for automotive stamping: ensure on-time delivery and quality, run formability and spring-back analyses, perform FEA correlation, conduct tooling and soft-tool reviews, support try-outs (T1/FPG), coordinate vendors/customers, train teams, audit KPIs, and drive continuous improvement and root-cause actions.

Support engineering teams in product and CAD design, create and revise drawings using GD&T, coordinate trials and vendors, perform data analysis, assist with equipment and workcell design, tooling/gauging, ergonomic and continuous improvement projects, and provide cross-department engineering support.

Lead a team to design, deploy, and maintain Industrial IoT and cloud-connected smart factory solutions. Build AWS-based, AI-enabled workflows, manage IaC (Terraform), CI/CD, monitoring, and collaborate with cross-functional teams to improve manufacturing performance.

Coordinate and maintain die program documentation; manage external design vendors and internal/customer design reviews; release designs for manufacturing; support tooling, FEA, sales and program management; define machining processes; support packaging studies and QMS procedures; drive continuous improvement and QAS re-work processes; perform die design/changes and provide technical support across manufacturing and engineering functions.