The role involves designing and implementing MLOps pipelines, optimizing machine learning processes, and ensuring model performance and compliance in a collaborative environment.

Lead development of web tools for autonomous driving, mentor engineers, and collaborate on technical architecture, focusing on responsive applications and cloud infrastructure.

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.

Lead the strategy and execution of the autonomy stack for Waabi Driver, ensuring alignment across teams, managing product lifecycles, and making data-driven decisions to commercialize autonomous features.

The Systems Engineer will develop and implement safety frameworks for autonomous technology, analyze performance metrics, and ensure safety readiness through simulation and testing.

The Senior Systems Engineer will develop safety frameworks for autonomous vehicles, manage safety methodologies, and mentor team members, focusing on safety and performance metrics.

The Senior Manager will cultivate relationships across government levels, track legislation, build support programs, and represent Waabi in industry associations, with a focus on Canadian policy and public affairs.

Design and develop Waabi's observability stack, optimize performance, build automation tooling, and support application requirements while leading projects and mentoring teams.

The role involves developing low-level embedded software for vehicle control, integrating sensors, collaborating with various teams, and ensuring safety standards are met while mentoring junior developers.

Develop and maintain production-quality software for self-driving technology. Collaborate with teams, lead discussions, and mentor engineers.

As a Senior or Staff Software Engineer on the Localization team, you will design algorithms for state estimation systems, optimizing multi-sensor data fusion for real-time vehicle localization in autonomous driving.

As a Senior Software Engineer on the Mapping team, you will architect and develop robust, scalable systems for autonomous vehicle mapping, collaborating with multidisciplinary experts and handling complex data processing.

As a Research Engineer, you will integrate ML models into planning stacks, develop testing interfaces, and collaborate with teams to enhance autonomous truck capabilities.

The Research Engineer will develop online mapping algorithms, collaborate on datasets, and contribute to ML solutions for autonomous vehicles.

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

As a Senior/Staff Research Engineer, you will develop simulation software for autonomous driving, focusing on architecture, data pipelines, and productionizing research.

Support and integrate perception algorithms in self-driving vehicles, ensuring code quality and solving integration challenges across multiple sensor modalities and deep learning models.

As a Senior/Staff Software Engineer, you'll architect and implement scenario frameworks for simulation software, collaborate on development, and ensure code quality and API design.

As a Research Scientist, you will design AI technologies for motion planning in self-driving trucks, focusing on deep learning and seamless integration into production systems.

Collaborate with research scientists on algorithm design, improve model development, and develop a framework for mixed precision training of models.