Top Tech Jobs & Startup Jobs in Vancouver

The Research Engineer will design scalable evaluation systems for multimodal generative AI models, integrating metrics and automated pipelines for model assessment and improvement.

Lead and hands-on build Luma's inference serving platform: architect scheduling, routing, autoscaling, and observability across thousands of GPUs; operate and optimize heterogeneous fleets; ship new model architectures from research to production; own SLOs, cost, incidents, and team hiring/mentorship.

The role involves using AI tools to rapidly develop software, working across product and engineering teams, and owning software projects end-to-end.

This role requires shaping technical direction, leveraging AI tools for production systems, and making crucial decisions to align product intent with engineering realities.

The role focuses on optimizing AI models for efficiency, involving GPU/CPU code profiling, high-performance programming, and developing performance tools.

Act as a creative strategist for top brands using generative AI, designing workflows, and producing high-craft content while educating the creative community.

As a senior Product Designer, you'll lead the design process, create innovative interactions, and collaborate on product strategy, transforming concepts into shippable features.

The Lead Infrastructure and Reliability Engineer will enhance GPU operations, define scalability strategies, and develop organizational strengths in a high-demand AI infrastructure setting.

Lead global compute capacity and platform strategy for training and inference: plan multi-year capacity, manage vendor/cloud partnerships, direct infrastructure and datacenter teams, optimize cluster efficiency (>50% MFU), oversee large capital deployments, and serve as executive liaison to silicon vendors and hyperscalers to enable world-model and robotics workloads.