Top Engineering Jobs in Toronto

The Principal Technical Product Manager will lead cross-functional teams in product strategy, feature development, and lifecycle management for a new unannounced AAA mobile game, using data analysis to guide decisions.

The Senior Design Manager will oversee design compliance for underground subway stations, lead project teams, manage RFI responses, and ensure alignment with engineering standards and owner specifications.

Lead and scale Inspiren's embedded firmware organization: define technical roadmap, architectures, standards, and AI-augmented workflows; oversee multi-modal sensing firmware (mmWave, optical, audio), multi-protocol communications, SoC strategy, OTA and secure/HIPAA-compliant systems; manage JDM partnerships and cross-functional alignment across R&D, NPI, and sustaining engineering.

Manage a technical team focused on Git and Git-related infrastructure, balancing upstream open-source work with GitLab priorities. Drive long-horizon scalability, performance, and architectural projects while fostering technical rigor, ownership, mentoring, and strong asynchronous communication across distributed teams.

The Head of Engineering, Platform will manage the engineering execution from architecture to delivery, focusing on improving AI workflows and team efficiency, while ensuring quality and reliability.

The Staff Product Manager will shape product strategy, lead cross-team collaborations, and drive user-centered digital product development while mentoring other product managers.

Lead a team of ML engineers to develop and improve fraud detection models, defining strategies and fostering collaboration across functions to ensure effective model integration.

Lead creation of an enterprise Agile & AI performance measurement practice. Define frameworks, KPIs, tooling strategy, governance, and analytics to measure delivery flow, predictability, quality, value, and the impact of GenAI/automation. Build a high-performing team, translate metrics into executive insights, and partner across engineering, finance, and transformation to drive informed investment and operating model decisions.

This is an open application for engineering candidates. Applicants should submit a resume and describe their passions, preferred work, and potential contributions. The company will contact candidates when a suitable engineering opportunity becomes available.

Own the technical baseline and integrated execution of test and launch infrastructure from design through construction and commissioning. Manage third-party engineering firms, requirements, specifications, design reviews, schedules, budgets, vendor technical evaluations, change control, constructability, RFIs, and commissioning acceptance. Coordinate engineering, procurement, construction, and facilities teams while serving as the program’s engineering authority.

Lead a cross-functional engineering team spanning iOS, Android, and server platforms. Own the membership and rewards platform, including roadmap strategy, architecture, reliability, observability, technical debt, and on-call operations. Partner with Product, Design, Data Science, Partnerships, and Rider Pay to scale consumer loyalty products. Develop engineers through goal-setting, opportunity matching, and timely feedback.

The Research Engineer will design agentic software systems, focusing on AI agents' collaboration in software engineering, prototype frameworks, and optimize engineering processes.

The role involves designing and implementing agentic applications, experimenting with methodologies in AI, and enhancing human-AI interactions while collaborating with researchers and designers.

Design and verify MRI-compatible medical devices by integrating hardware, software, and imaging sequence development. Create and execute system-level test procedures, perform MRI verification testing and reporting, develop MATLAB scripts and simulations, support regulatory/QMS activities, investigate failures, and travel (20–50%) to MRI sites for testing.

Lead and grow a Data Engineering team to build production data pipelines, medallion datasets, and reusable data products. Drive architecture, engineering standards, design reviews, and cross-functional delivery. Partner with Product, Analytics, Data Science, and Platform to enable governed, reliable data foundations for analytics and AI. Mentor engineers and manage multiple concurrent initiatives to deliver predictable outcomes.

The intern will own an impactful project, using AI and developing scalable APIs while collaborating with design, sales, and marketing teams.

This apprenticeship offers mentorship, formal training, and hands-on coding experience. Responsibilities include completing training, collaborating with mentors, and shipping working code.

Lead and mentor a team of Forward Deployed Engineers in building and optimizing LLM inference workloads, delivering high-performance AI applications, and collaborating with cross-functional teams.

Lead pre-sales and application engineering for energy storage systems (ESS): manage proposals and pipeline, coach and develop the team, collaborate with sales, R&D and engineering to design tailored ESS solutions, and present technical-commercial value to customers.

Lead a systems engineering team to design, deploy, and operate scalable AWS infrastructure. Author infrastructure-as-code, improve observability and automation, mentor engineers, partner with product teams on security, reliability, and performance, and hire top talent to support global SaaS capabilities.

Lead a team of up to 12 engineers to build and operate critical parts of an AI-native healthcare automation platform. Drive technical execution, architecture, reliability, incident response, hiring, onboarding, and cross-functional execution while ensuring enterprise security, compliance, and scalable customer deployments.

Lead and mentor a team of engineers in developing B2B travel technology solutions, ensuring system reliability and quality feature delivery while managing client partnerships.

Lead engineering efforts, manage technical teams, ensure software quality, drive automation, and guide product strategies in machine learning security.

The Engineering Manager will drive operational excellence, guide technical execution, coach engineers, foster collaboration, and integrate AI-assisted development practices.

Lead technical architect providing cross-project technical leadership and strategic direction. Make long-term architectural decisions, resolve complex design issues, drive processes and projects, mentor engineers, and partner with sales, accounts and executives to influence product strategy and customer outcomes.