Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and team-oriented candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai.

You will…

- Be part of a multidisciplinary team of Research Scientists and Engineers building the content backbone of a best-in-class multi-sensor simulation stack.
- Architect and own asset pipelines end-to-end : From raw sensor logs all the way into simulation-ready representations (e.g., 3DGS, NeRF, mesh, hybrid), validation, packaging, and serving into Waabi World.
- Design schemas, formats, and storage for a heterogeneous asset library spanning traditional mesh/material assets,



neural representations, and generative-model outputs. Ownership of design decisions ranging from formats and compression, to streaming, and cross-renderer interop.
- Build tooling and visualization that lets research scientists, simulation engineers, and technical artists inspect, compare, debug, and curate assets at the scale of tens of thousands of items — including search, similarity, lineage, and regression review.
- Integrate cutting-edge research into the pipeline — collaborate with the neural rendering and generative AI teams to productionize the latest reconstruction, diffusion, and world-model techniques as first-class steps in the asset lifecycle.
- Collaborate with autonomy and safety teams to ensure the asset catalog meets the diversity, realism, and coverage demands of training and closed-loop evaluation.

Qualifications:

📌 Senior / Staff Research Engineer, Simulation Assets & Content Systems (Toronto)
🏢 Waabi
📍 Toronto