Top Engineering Jobs in Vancouver

The Senior Program Manager will lead cross-functional programs in engineering, optimize processes, and enhance efficiency while driving alignment across teams.

Lead a team of backend engineers to build cloud inference services on Kubernetes, focusing on operational excellence, incident response, and engineering best practices.

The Engineering Leader will oversee software and data teams, ensuring product delivery and operational excellence in robotics and IoT systems.

The Director of Software Engineering will lead the engineering team for Mobility Core services, drive architectural roadmaps, foster a culture of innovation, and collaborate with product partners to exceed customer expectations.

Lead and mentor engineering teams to deliver high-quality, AI-driven software, ensuring accountability and continuous improvement in development processes.

Lead Data Acquisition Team, drive AI-augmented development, establish specification-driven methodology, oversee data pipeline architecture and ensure operational excellence.

The Engineering Manager will lead and mentor engineering teams, drive performance, collaborate with product managers, and optimize engineering processes while ensuring high-quality solutions and team growth.

The Technical Program Manager will coordinate releases, manage dependencies, ensure effective communication with stakeholders, and establish release processes for multiple AI product teams.

As the Senior Advisor of Value Engineering Operations, you will build systems and workflows to support operations, improve resource adoption, and ensure quality while scaling Value Engineering.

Own end-to-end engineering for a product domain, drive large latency improvements, build observability and model-selection systems, lead execution rituals, translate product goals into deliverables, operationalize continuous quality evaluation, and enforce engineering best practices to ensure reliability and scalability.

Lead and scale the iOS mobile platform end-to-end: own architecture, roadmap, delivery, and reliability. Drive major performance and crash-rate improvements, build observability and automated testing, coordinate closely with Product/Design/Backend, and improve EHR integrations and technical debt while establishing mobile engineering processes and execution cadence.

Lead strategy, design, and execution of platform integrations connecting Sully.ai's AI clinicians to EHRs and partner APIs. Build and scale the integrations team, ensure HIPAA-compliant, secure, and reliable connectors, ship SDKs and CI/CD/observability standards, and deliver production EHR connectors while partnering with Product, Clinical, Security, and Customer Success.

Lead and manage engineering teams focusing on AI integration and fullstack development, ensuring high-performance systems and product quality.

The Strategic Finance Business Partner collaborates with Product and Engineering to manage financial planning, analysis, and reporting, guiding strategic investments and initiatives, including budgeting and M&A evaluation.

Lead and scale AI/ML teams, ensuring high-quality product delivery while shaping technical direction and fostering team development.

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

Oversee and drive delivery of multiple engineering initiatives, collaborating with cross-functional teams to ensure alignment with company objectives and successful project execution while identifying process improvements.

The Senior Manager, Device Quality Engineering oversees software quality and design excellence in medical technology, leading teams and ensuring compliance with regulations throughout product development.

Lead the design and development of reinforcement learning environments, managing a high-performing team and ensuring technical excellence while collaborating cross-functionally.

The AI/ML Engineering Manager leads ML engineering teams, manages client engagements, shapes architecture, ensures technical quality, and drives business growth through ML operations.