Top Engineering Jobs in Toronto

Tests and verifies hardware, software, embedded, cloud, networking, and medical device systems. Develops verification plans, test cases, automated protocols, test infrastructure, and compliance documentation. Performs hardware bring-up, debugging, connectivity testing, web API and application testing, defect tracking, and formal testing against medical device standards. Collaborates with hardware, software, cloud, manufacturing, security, and product teams to ensure system reliability, safety, regulatory compliance, and performance.

Leads the design, coordination, and delivery of electrical building systems from concept through construction. Responsibilities include engineering calculations, Revit and AutoCAD documentation, multidisciplinary coordination, code compliance, site investigations, construction administration, project management, client engagement, business development, and mentoring junior staff. The role focuses on power distribution, lighting, emergency power, fire alarm, communications, security, substations, generators, grounding, and utility systems.

Manage engineering capital projects from concept through completion, ensuring schedule, budget, scope, quality, and safety objectives are met. Coordinate internal disciplines, customers, consultants, suppliers, contractors, legal counsel, and procurement. Responsibilities include project planning, budgeting, contracting, technical review, inspections, construction coordination, commissioning, reporting, and issue resolution. The role also supervises project teams, performs engineering calculations and designs, and manages capital projects valued up to $50 million.

Lead the engineering team building Scout, an AI-powered Excel product for creating and updating audit-ready financial models. This player-coach role combines hands-on technical leadership with hiring, mentoring, roadmap ownership, cross-functional collaboration, and operational excellence. The manager will ship reliable client-facing ML/LLM products, establish engineering standards, improve team processes, and build strong relationships with Product, Sales, Customer Success, Support, and financial analysts.

Leads Emburse’s Analytics and Travel Analytics engineering teams, overseeing people development, delivery, data pipelines, dimensional models, embedded analytics, dashboards, and AI-enabled insights. Owns SDLC and agile practices, partners with Product on scope and tradeoffs, ensures secure and compliant data practices, and improves quality, automation, testing, cost management, and delivery predictability. The role also recruits and develops engineering talent across North America and Europe.

Leads NVIDIA’s Performance Engineering team, overseeing benchmarking, performance characterization, data analysis, automation, and product readiness. Defines methodologies and priorities, guides investigations across hardware and software systems, analyzes regressions and bottlenecks, and translates findings into product recommendations. Develops engineers and collaborates with engineering, product, and business teams across global locations. The role spans GPUs, CPUs, operating systems, applications, AI workloads, robotics, and emerging computing platforms.

Leads and develops a software engineering team of 5–6 people, balancing people management with hands-on technical leadership. Responsibilities include reviewing code, guiding architecture, managing integrations, improving development workflows, coaching team members, hiring, and delivering scalable applications on schedule. The role requires collaboration with product, vendors, and cross-functional leaders, along with expertise in C#, .NET, cloud platforms, distributed systems, APIs, databases, DevOps, and secure software development.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

Develops, integrates, tests, and qualifies propulsion systems for advanced air vehicles and precision-strike programs. Responsibilities include propulsion architecture, performance modeling, component and interface design, vehicle integration, ground and flight testing, instrumentation, data analysis, failure investigation, manufacturing transition, and production support. The role requires hands-on work with propulsion hardware and collaboration across mechanical, structural, aerodynamic, electrical, GNC, and systems teams.

Leads platform-level execution of software and AI/ML systems across multiple teams. Oversees shared infrastructure, development tooling, DevOps, CI/CD, cloud cost optimization, architecture, and system integration. Manages the full software development lifecycle, tracks engineering metrics, mentors engineers and managers, and aligns technical priorities with business goals. The role supports scalable, secure, high-availability data and intelligence platforms while driving continuous improvement and operational efficiency.

Design, develop, and maintain high-performance consumer-facing web applications using React, TypeScript, and JavaScript. Lead frontend architecture, performance optimization, accessibility, reusable component development, API integration, experimentation, production troubleshooting, and CI/CD support. Collaborate with Product, Design, QA, Platform, and Architecture teams while mentoring engineers, conducting code reviews, supporting Agile delivery, and improving engineering quality and operational excellence.

Develop and maintain cross-platform consumer mobile applications using React Native, TypeScript, and JavaScript. Build reusable components, integrate REST and GraphQL APIs, optimize performance, implement testing and monitoring, resolve production issues, support CI/CD releases, and apply accessibility and usability principles. Collaborate with product, design, QA, and engineering teams in an Agile environment while contributing to code reviews, architecture, experiments, and continuous improvement.

Build privacy-focused services and infrastructure that support consumer privacy rights across Block. Collaborate with engineering, security, platform, and legal teams to embed privacy solutions, define future privacy technology, mentor engineers, review implementations, and maintain monitoring and system stability. The role involves developing scalable, testable software and creating architectures and processes addressing data governance, data flows, access control, security, and privacy risks.

Build internal services and infrastructure that support privacy initiatives and consumer privacy rights. Collaborate with engineering, security, platform, and legal teams to integrate privacy technologies, define privacy architecture, mentor engineers, review implementations, and maintain reliable privacy solutions. The role focuses on responsible data use, governance, data flows, access controls, and reducing privacy risk across Block’s engineering ecosystem.

Leads platform-level execution of software and AI/ML systems across multiple engineering teams. Oversees shared infrastructure, DevOps, CI/CD, cloud-native architecture, cost optimization, system integration, and full software lifecycle delivery. Partners with product and data teams, guides architectural decisions, mentors engineers, manages stakeholders and technical initiatives, and drives system availability, scalability, maintainability, and continuous improvement.

Provide technical direction for GitLab Dedicated, a managed single-tenant SaaS platform. Lead architecture and transformation across resilience, failover, tenant orchestration, change management, automation, and platform integrations. Identify systemic reliability and scalability risks, establish reusable platform patterns, strengthen service ownership, and guide cross-team technical decisions. Mentor senior engineers and advance engineering excellence across the organization.

Leads the Supabase Spark engineering team by developing people, managing hiring, owning roadmap delivery, coordinating cross-team requests, maintaining service objectives, and handling incidents. The role requires technical credibility in backend and database systems, experience managing remote engineering teams, strong performance management skills, and the ability to build high-trust, asynchronous, globally distributed teams.

Leads an engineering enablement team responsible for platform infrastructure, data, tooling, service standards, and customer implementation capabilities. Manages hiring, coaching, delivery, intake, prioritization, capacity planning, on-call operations, incident response, technical standards, and stakeholder relationships. Partners with Product, Security, Professional Services, and enterprise clients while driving reliability, automation, continuous improvement, and AI-assisted engineering practices.

CoLab is seeking people with mechanical engineering backgrounds for potential future roles spanning customer value management, solutions engineering, forward-deployed engineering, product development, and account executive work. Candidates may apply their engineering experience to customer implementations, technical problem-solving, AI-powered product development, or consultative sales. This is an expression-of-interest posting rather than an active opening. Students should pursue opportunities through university or college co-op and internship programs.

Leads a team of solution engineers advising customers on cloud and artificial intelligence adoption. Oversees end-to-end solution design, demonstrations, proof-of-concept activities, resource planning, coaching, and customer engagement quality. Acts as a trusted technical advisor, coordinates experts and partners, and contributes customer insights to global technology strategies and offerings. Requires extensive technical pre-sales or consulting experience, cloud architecture expertise, and people management experience.

Leads Forward Deployed Engineering teams delivering technical outcomes for major government, defense, and manufacturing programs. Owns technical roadmaps, product scope, production delivery, executive customer relationships, and platform feedback. Builds and scales teams of engineers, product managers, and designers while remaining hands-on with architecture, technical reviews, and early product development. Requires strong product judgment, AI-native workflows, zero-to-one product experience, and the ability to operate across software, hardware, and manufacturing environments.

Leads Forward Deployed Engineering teams delivering technical outcomes for major government, defense, and manufacturing programs. Owns technical roadmaps, product scope, architecture, production delivery, executive customer relationships, and integration of program learnings into Hadrian’s platform. Builds and scales multidisciplinary teams, hires engineers and product leaders, makes tradeoffs involving scope, schedule, cost, quality, and platform leverage, and remains hands-on in early-stage development and technical reviews.

Build production infrastructure features in Go while embedding security into the product. Own vulnerability triage and remediation through patched releases, threat-model new features, conduct security-sensitive code and design reviews, and improve secure engineering practices. Requires deep Kubernetes knowledge, including API server, admission control, RBAC, controllers, kubelet, and attack surfaces such as container breakout and privilege escalation.

Leads the enterprise data platform engineering team and owns its reliability, security, scalability, performance, cost, and operational support. Oversees relational, NoSQL, and analytical platforms; data movement and transformation; infrastructure as code; GitOps; database automation; high availability and disaster recovery; monitoring; compliance; and incident response. Manages engineers, on-call operations, technology selection, vendor evaluations, budgeting, and cross-functional delivery while remaining hands-on in architecture, administration, performance tuning, and complex technical escalations.

Administer and support large-scale cloud and on-premises monitoring deployments across multiple providers. Maintain performance, availability, capacity, permissions, upgrades, and audit compliance. Integrate applications and infrastructure with enterprise monitoring instrumentation, document operational processes, collaborate with technical teams, and mentor colleagues on observability practices. The role requires expertise in monitoring platforms, application performance monitoring, synthetics, end-user experience, infrastructure monitoring, distributed tracing, cloud services, scripting, SQL, and multiple operating systems.