Top Tech Jobs & Startup Jobs in Montreal

Design, build, and own end-to-end 3D asset pipelines and tooling for a multi-sensor simulation stack. Architect formats, storage, validation, packaging, and serving for meshes, neural representations, and generative outputs. Create visualization and curation tools at scale, integrate neural rendering and generative research into production, and collaborate with autonomy and safety teams to meet realism and coverage requirements.

The role involves building standardized training frameworks, profiling model performance, collaborating with teams, and improving related tooling.

The Applied Data Scientist will analyze performance data of Waabi's autonomy systems, develop automated dashboards, and collaborate across teams to drive insights for performance improvements.

The role involves designing frameworks for autonomy evaluation, implementing performance measurement methodologies, and developing analytical models for self-driving technologies. The applied scientist will collaborate with cross-functional teams, prototype analyses, and ensure rigorous evaluation standards are met.

Lead the financial close process, manage consolidations, ensure accurate US GAAP reporting, automate accounting tasks with AI, and support audits.

As a Research Engineer in Sensor Simulation, you will develop multi-sensor rendering systems for self-driving technologies, collaborate with scientists and engineers, and work on innovative solutions using machine learning and neural rendering techniques.

The Distillation Lead will define and implement strategies for model distillation and compression, collaborating with various teams to deliver efficient models for real-time systems and simulations.

Lead cross-functional platform integration programs, mapping dependencies across hardware, embedded software, autonomy, safety, and operations. Define integrated plans, track VnV and test campaigns, surface risks with data-backed mitigation options, own executive reporting, and build scalable processes, tooling, and dependency maps to deliver milestones on time at fleet scale.

As a Research Engineer, you will develop algorithms for world models focusing on generative and predictive modeling within complex environments, optimizing model deployment, and collaborating with research teams.

Collaborate to scale self-driving systems, build training frameworks, profile model performance, and evaluate emerging technologies for training and inference.