Top Engineering Jobs in Toronto, ON

Develop and lead embedded software for low-voltage automotive power distribution, including controls, diagnostics, communications, and safety-compliant system design. Create and test software across component, system, and vehicle levels using SiL, HiL, and automated testing. Apply C/C++, AUTOSAR, ISO 26262, MISRA, CI/CD, DevOps, and automotive communication protocols. Collaborate with hardware, calibration, requirements, and agile teams while reviewing code, maintaining traceability, and supporting software quality practices.

Designs and maintains CI/CD pipelines for virtual ECUs, embedded software, and simulation artifacts. Automates build, testing, packaging, and deployment workflows across C++, Python, MATLAB/Simulink, and model-based toolchains. Operates Docker and Kubernetes environments, implements GitOps, improves developer velocity, adds pipeline observability, and supports cloud-based software-in-the-loop execution. Collaborates with embedded, simulation, and controls teams on large-scale virtual validation.

Leads end-to-end simulation architecture for GM’s Vehicle Body Controls domain. Defines co-simulation packages, simulation bills of materials, behavioral models, configuration strategies, documentation standards, and CI/CD integration. Governs architecture across programs, ECUs, vehicle domains, and model years while partnering with systems, software, pipeline, and tools teams. Establishes quality gates, conducts design reviews, drives technical alignment, and supports training. Requires substantial embedded controls, SIL/HIL, co-simulation, test environment, and software architecture experience.

Develop and maintain vehicle data platform software across control plane, data plane, logging, SDK, and cloud integrations. Deliver production software for Android, Linux, and QNX ECUs with constrained resources, optimize connectivity and performance, implement testing and observability, troubleshoot field issues, collaborate across technical teams, contribute to open source, and mentor junior engineers.

Lead architecture and development of diagnostic infrastructure software, applications, libraries, and interfaces for autonomous vehicle platforms. Own UDS and DTC management strategy, deliver high-quality C++ solutions, review engineering changes, troubleshoot vehicle communication logs, and support Software Defined Vehicle architectures. Collaborate across cybersecurity, manufacturing, service, and platform teams; mentor developers; participate in hiring; and represent the organization in ISO and SAE industry groups.

Design, build, and operate Java/Spring Boot backend services supporting vehicle configuration, campaign delivery, remote device management, and OTA workflows at global scale. Lead API security hardening, legacy endpoint retirement, service communication architecture, observability, technology modernization, and technical debt reduction. Integrate agent-assisted development tools into engineering workflows and mentor engineers on backend design, service ownership, and operational excellence.

Design, build, and operate cloud-based CI/CD platforms and pipelines supporting embedded software production, automated builds, testing, virtualization, and co-simulation. Integrate physical and virtual test environments, improve platform reliability and performance, automate provisioning and maintenance, troubleshoot infrastructure and pipeline issues, and establish DevOps best practices. Serve as a subject matter expert while collaborating with software, test, IT, cybersecurity, and supplier teams.

Architect enterprise-scale CI/CD platforms for embedded, simulation, and cloud workloads. Define engineering standards for branching, releases, quality gates, GitOps, Kubernetes, progressive delivery, Terraform-based infrastructure, security, compliance, and observability. Lead high-impact productivity initiatives, solve complex technical problems, connect multiple engineering programs, and mentor DevOps and simulation developers. The role focuses on virtualized vehicle software and safety-critical embedded real-time systems.

Leads architecture and development of GM’s simulation scenario platform, TypeScript/Python SDK, graphical editing tools, and scalable Python infrastructure. Responsibilities include scenario serialization and validation, cloud compute integration, technical roadmap ownership, complex project delivery, API and code-quality standards, and mentoring engineers. The role supports safe validation of autonomous-driving systems and may involve 3D graphics, simulation, DSLs, game engines, data visualization, and robotics systems.

Leads modernization of large-scale embedded software build systems by migrating Make and shell workflows to Bazel. Designs reusable rules, toolchains, platforms, and repository standards; integrates build infrastructure with CI/CD, testing, releases, security, and observability. Drives reproducibility, performance, caching, reliability, developer adoption, and measurable productivity improvements. Requires deep real-time and safety-critical software expertise, strong Python and engineering-tooling skills, and experience evaluating AI-enabled developer workflows.