Top Engineering Jobs in Toronto

Engineering co-op student supporting automotive powertrain manufacturing through product and tooling design, CAD drawings, trial coordination, data analysis, vendor coordination, cycle-time studies, root-cause problem solving, equipment installation, workcell improvements, ergonomic assessments, and continuous improvement projects. The role also assists with documentation, shipping, quality initiatives, cost reduction, and engineering support for other departments.

Leads engineering technicians supporting Honeywell Aerospace’s electronic fabrication business. Provides technical guidance, troubleshoots mechanical and engineering process issues, collaborates cross-functionally, drives continuous improvement, implements best practices, and ensures quality, efficiency, and timely project delivery. The role requires technical expertise in mechanical systems, team leadership, problem-solving, fabrication drawing interpretation, and familiarity with CAD and engineering tools.

Defines and governs the end-to-end architecture for GM’s scalable co-simulation and virtual integration ecosystem. Responsibilities include establishing interfaces, packaging, execution, configuration, traceability, observability, quality standards, supplier requirements, and technical roadmaps across virtual ECUs, models, software, networks, and test environments. The role leads cross-functional architecture decisions, supports issue resolution, mentors engineers, and aligns global teams while partnering with specialized pipeline, toolchain, quality, and program organizations.

Serve as the senior technical authority for security engineering in Canada's regulated environment. Engineer and operate security controls across on-premises, cloud, and isolated infrastructure; build automation and infrastructure-as-code; support identity, vulnerability, logging, and cloud security tooling; drive remediation against CIS and NIST baselines; and produce operational and executive security posture reporting.

Serve as the senior technical authority for security engineering in Canada’s regulated environment. Engineer and operate security controls across cloud, on-premises, and isolated infrastructure; build automation and infrastructure-as-code; support identity, vulnerability, logging, and cloud security tooling; drive remediation against CIS and NIST baselines; and produce security posture reporting. The role requires expertise in Linux, automation, DevOps, network security, system hardening, and at least two specialized security domains.

Leads multiple software engineering teams building scalable, resilient applications that reduce fraud and improve customer experience. Responsibilities include people leadership, talent and succession planning, engineering craftsmanship, application availability, resilience, scalability, hands-on development, technology experimentation, and mentoring. The role also influences product and business stakeholders on strategy and roadmaps.

Lead the Messaging Experience engineering team responsible for Braze’s Canvas and Campaign creation workflows. Own the multi-year roadmap, set engineering direction and processes, develop engineers and technical leads, manage hiring, and partner with Product and Design to deliver polished, scalable customer-facing web applications. Drive front-end quality, iterative product development, usability, architecture, and engineering excellence across multiple workstreams.

Leads hands-on data and software engineering across the full development lifecycle. Owns technical design, architecture, development, engineering standards, developer experience, and fault-tolerant application systems. Provides technical guidance to stakeholders, establishes best practices, contributes to high-level design, and mentors junior and intermediate engineers. The role requires expertise in application development, data modeling, cloud platforms, and modern software engineering practices within an agile financial-services environment.

Leads and grows software engineering teams, including hiring, coaching, performance management, and career development. Defines technical strategy and roadmaps for backend, frontend, mobile, API, and AI-powered products. Oversees architecture, design reviews, cross-functional delivery, and production systems at scale while translating ambiguous customer problems into measurable outcomes. Partners with product, design, and customer teams and raises engineering quality, velocity, and organizational standards.

Provides Level 3 customer support for HPE Slingshot software and HPC environments. Analyzes, reproduces, isolates, and resolves complex software and system issues; performs diagnostics, testing, upgrades, and documentation; escalates unresolved issues to R&D; supports customers during incidents and maintenance windows; and mentors junior staff. The role requires expertise in Linux, HPC networking, storage, cluster management, monitoring, automation, and enterprise-scale supercomputing systems.

Lead ADAS infrastructure validation and software test engineering across open-loop, HIL, and SIL environments. Develop test plans, automation, validation roadmaps, and compliance testing for communication, diagnostics, cybersecurity, OTA, and vehicle safety. Coordinate cross-functional teams, manage validation projects and readiness, analyze requirements and defects, prioritize sprint testing, report results, and drive testing best practices and continuous improvement. The role requires extensive black-box testing, test automation, automotive protocols, and ADAS controller validation experience.

Leads modernization of large-scale embedded software test systems for software-defined vehicles. Defines architecture, automation, test execution, configuration and variation management, traceability, quality gates, regression strategies, data models, APIs, diagnostics, and CI/CD integrations across virtual and physical environments. Provides technical leadership, mentors engineers, improves testing speed and reliability, and enables analytics through Databricks.

Leads the design and operation of reliable, scalable, observable cloud-native data platforms supporting vehicle telemetry and ingestion. Responsibilities include production readiness, CI/CD, SLOs, monitoring, incident response, automation, AI workflow evaluation, post-incident improvements, customer partnership, technical direction, and mentoring. The role requires hands-on programming, cloud infrastructure, observability, GitOps, and high-scale systems expertise, with participation in a weekly on-call rotation.

Leads a software engineering team responsible for vehicle data platform components across Android, Linux, and QNX. Oversees hiring, architecture, delivery, testing, releases, field support, reliability, telemetry, incident response, and technical direction. Partners with cloud, cybersecurity, privacy, platform, and application teams to deliver scalable software on resource-constrained vehicle ECUs and manage data flows to the cloud.

Lead technical direction for a unified vehicle data platform spanning control planes, data planes, SDKs, logging, and fleet management. Design and maintain production software for Android, Linux, and QNX ECUs, optimize constrained resources, integrate cloud services, and establish reliability, observability, privacy, and security standards. Lead cross-organizational initiatives, production incident response, roadmap development, open-source contributions, and mentorship of engineers.

Leads the Diagnostics Infrastructure team developing reusable fault detection and diagnostic software for autonomous-driving and active-safety systems. Responsibilities include people leadership, technical roadmap ownership, architecture, C/C++ and Python software delivery, automotive diagnostics, cross-functional integration, quality practices, risk management, and release execution across vehicle programs. The role requires embedded Linux and POSIX experience, UDS knowledge, and occasional travel to GM facilities, suppliers, and test sites.

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.

Architects end-to-end CI/CD and quality-gating systems for embedded and software-defined vehicle platforms. Establishes delivery pipelines, artifact promotion, mainline protections, validation gates, GitHub Enterprise workflows, cloud infrastructure, observability, and release controls. Defines integration strategies across ECUs, MCUs, SoCs, containers, vehicle systems, and virtual or hardware test environments. Leads cross-functional architecture decisions, advises senior leadership, improves pipeline reliability, and drives measurable gains in software quality, integration predictability, and release confidence.

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.

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.

Build and operate scalable vehicle data pipelines, workflows, monitoring, dashboards, alerts, and observability solutions. Investigate data quality and operational issues across vehicle campaigns, software packages, populations, and lifecycle systems. Define requirements, metrics, testing, governance, lineage, and support processes while improving reliability, performance, scalability, and cost. Collaborate across engineering and program teams, communicate technical findings, establish best practices, and mentor others.

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 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.

Develop and execute automated end-to-end testing for connected vehicle data and control-plane systems spanning embedded components, physical test assets, cloud infrastructure, and analytics platforms. Perform HIL and SIL testing, integration and performance validation, data integrity checks, observability, defect triage, and root-cause analysis. Build CI/CD-integrated regression suites, collaborate with embedded and cloud engineering teams, and document test frameworks, results, and performance standards.

Lead Legora’s Legal Engineering function in Canada from Toronto. Build and manage the team and Team Lead layer, establish operating standards, partner with commercial and engagement teams, oversee strategic enterprise implementations, and develop repeatable legal AI workflows. The role also owns senior client relationships, hiring, performance management, market strategy, product feedback, and cross-functional execution while connecting legal engineering to adoption, expansion, and revenue.