Top Engineering Jobs in Toronto

Lead and grow a team of Forward Deployed Engineers (FDEs) to scope technical data programs, design pipelines and measurement, write instructions, and ensure data quality. Own hiring, onboarding, staffing, craft standards, tooling for reuse, and cross-functional alignment to keep FDEs focused on high-level technical work and career development.

Lead a distributed team of data scientists and engineers, focusing on data infrastructure and ML systems while collaborating with product and marketing teams.

Develop, implement, troubleshoot, and optimize non-destructive testing (NDT) systems across manufacturing. Evaluate inspection technologies, support equipment selection and validation, analyze inspection data to identify root causes and trends, create standardized work instructions, and drive continuous improvement alongside production and engineering teams.

Lead product and process development activities including APQP, prototype builds, validation, PFMEAs, capacity studies, and production transfers. Support troubleshooting, continuous improvement, quality planning, and ensure compliance with IATF 16949 and ISO 14001.

Leads a distributed team of security and infrastructure engineers responsible for securing NVIDIA’s large-scale DGX Cloud GPU fleet. Sets technical direction for security control planes and foundational services, oversees hiring and talent development, drives measurable risk reduction, and ensures operationally ready engineering delivery. The role requires cross-functional influence across platform, SRE, networking, and security teams, along with expertise in cloud-native architecture, Kubernetes, identity and access, policy enforcement, and vulnerability management.

Lead a team of 4–6 engineers to turn research prototypes into reliable, scalable systems. Establish technical strategy, architecture, and squad-level outcomes; bridge research and engineering; build testing, observability, deployment, and operational practices; mentor engineers and influence hiring and organizational design across the company.

Lead and grow the HB Assistant engineering team, own end-to-end delivery and architecture for web and mobile agentic experiences, partner with Product/Design/Data, drive engineering excellence (quality, monitoring, latency, data validation), and recruit top talent in a fast-moving AI-native environment.

Lead and grow a backend and AI engineering team building AI-powered tax products. Hire, mentor, set technical direction, scope AI features end-to-end, collaborate with PM and Design, remove cross-team blockers, and improve engineering processes while developing domain expertise in tax workflows.

Build and maintain AWS infrastructure using Terraform, CI/CD pipelines with GitHub Actions, and multi-region Kubernetes clusters. Improve Helm charts, observability, security, and developer experience while collaborating with product teams and participating in business-hours on-call rotation.

Lead EMC certification activities as a DAD/DAR delegate: review and approve certification documentation, lead compliance demonstrations and test validations, apply TCCA/FAA/EASA regulations, interface with regulators, approve engineering changes, and mentor engineering teams to ensure continued airworthiness.

Lead a team to improve the reliability of advanced compute clusters and manage failure analysis and debugging processes.

Lead and develop Tech Leads and software teams to deliver cloud-native, API-centric solutions. Drive hiring, performance, architecture alignment, code reviews, process improvements, cross-functional collaboration, and AI-first engineering adoption while ensuring team health and delivery.

Lead and/or staff-level technical roles to design, build, and operate petabyte-scale batch and streaming data pipelines, APIs, and analytical platforms. Responsibilities include platform architecture, data modeling, query and API design, reliability, observability, performance optimization, cross-team coordination, and mentoring engineers through a transformation to workload-aware, near real-time data systems.

As a Senior Engineering Manager in Data Engineering, you'll lead a team to build a Data Platform, improve engineering practices, and ensure project delivery through effective collaboration and system architecture design.

As a Machine Learning Engineer II, you will build advanced ML models and systems, collaborate with teams, and improve personalized experiences on Pinterest.

As Senior Manager/Manager, you will manage the Supply Chain Engineering team, design facilities, optimize operations, and integrate solutions to enhance supply chain performance.

Lead a multi-site engineering team to develop and execute a 5-year capital plan and deliver capital projects across US and Canada. Oversee Capital Initiative Management, procurement strategy, project KPIs (safety, food safety, CQV, schedule, budget), mentor staff, and drive continuous improvement and cross-functional collaboration. ~50% travel.

Design and lead architecture for real-time screening, detection, and investigation systems to enforce sanctions and AML rules. Build high-throughput, low-latency APIs and distributed pipelines, enable multi-tenant risk-as-a-service, integrate ML/LLM tooling for reviewer augmentation, drive cross-functional alignment, mentor engineers, and ensure operational reliability including on-call ownership.

Lead delivery of enterprise solutions combining Microsoft Power Platform with modern front-end frameworks (React, Angular, Next.js) and Azure services. Guide architecture, integrate APIs, enforce security and scalability, mentor developers, drive AI-assisted development, and support client-facing discovery and solution strategy while growing practice capabilities and delivery standards.

Lead and mentor a team of Forward Deployed Engineers to build and deploy agentic solutions with Cohere's North platform in on‑premises enterprise environments. Own technical implementation through delivery, collaborate with Product/Engineering/Sales, drive customer relationships, and scale agent development and deployment processes.

Lead QBiT's financial operations: manage budgets, deposits and reimbursements, pursue funding applications, co-lead sponsorship strategy and outreach, report at executive meetings, and oversee the Director of Sponsorship.

Lead internal operations for QBiT: manage events, hiring coordination, travel logistics for conferences/competitions, support sponsorship logistics, oversee Directors of Business and Science, and report at executive meetings.

Lead sponsor outreach and relationship-building, produce sponsorship materials, apply for grants, collaborate with the CFO, and report updates at finance meetings to secure funding for QBiT.

Lead and oversee a QBiT biomedical design project from ideation through final design. Responsibilities include structuring timelines, delegating and supervising team members, tracking technical tasks, preparing projects for competitions/conferences, attending executive meetings, and taking initiative on research and design outside scheduled meetings.

Manage QBiTs marketing: develop branding strategy, create and schedule social media content, design promotional materials, maintain website content, and coordinate promotional campaigns with outreach and communications teams.