Implement state-of-the-art research advances in neural rendering and generative models
Translate cutting-edge autonomous driving solutions into sensor simulations for cameras, lidars and radars
Contribute to building a neural rendering framework that scales perception simulation and AV training (AV 3.0)
Integrate the framework into a cloud environment and automate the pipeline to enable scalable verification and targeted validation of our autonomous trucks
Own development projects within the team, from research to design, implementation, testing and deployment
Design, implement, test and deploy production-ready deliverable software from early prototypes using disciplined software engineering processes
Work within the cloud machine learning ecosystem alongside other related departments across the company
Proactively assess current capabilities to identify areas for improvement and propose solutions aligned with core strategy and operations
Demonstrate project management skills; lead and support less-experienced team members across multiple aspects of project execution, providing coaching and mentorship as needed.

Strong mastery of Python and deep learning frameworks such as PyTorch
PhD or equivalent work experience of at least 6 years in related fields (Computer Science, Robotics, Electrical Engineering) with experience shipping production software
Proven expertise in neural rendering (neural radiance fields and 3D Gaussian splats) and generative models (diffusion models, flow matching)
Experience in graphics, 3D reconstruction or 3D computer vision
Recognized as highly skilled and competent in their discipline; delivers complex, high-impact work with minimal supervision and a high degree of independent judgment
Experience with virtual desktop infrastructure (VDI) and cloud machine learning development environments
Expected to drive alignment between the team’s interfaces and the rest of the organization
Designs, maintains and owns the team’s technical solutions and fosters consensus
Mentors and guides engineers in the group.

Competitive compensation program including bonus and stock option components
100% employer-covered medical, dental and vision premiums for full-time staff
Registered Retirement Savings Plan (RRSP) with a 6% employer match
Flexible scheduling and generous paid time off (available immediately after the start date)
Accidental Death & Dismemberment (AD&D) and life insurance

Principal Machine Learning Engineer – Neural Rendering

Key skills