Research Engineer, Sensor Signal Processing
Waabi · Toronto, ON
Roboticshybrid
At a glance
Highlights
- Turn raw camera, LiDAR and radar data into useful signals for autonomous driving.
- Handle massive sensor data with low latency and high reliability at scale.
- Contribute to high-impact research for top conferences and journals.
Ideal candidate
A rigorous signal processing thinker who loves turning math into real-time systems. You thrive in multidisciplinary teams and care about practical, scalable impact on autonomous driving, plus high-impact research.
Requirements
- Thorough understanding of classical and learning-based signal processing fundamentals
- Ability to apply mathematics to design robust numerical algorithms for real-world sensors
- Experience with high-throughput, latency-sensitive algorithms under limited compute and memory
- Comfortable rapidly prototyping in Python, Julia, or MATLAB and shipping production software
Lab profile
About Waabi
Leader in Physical AI powering commercial autonomous trucks and robotaxis.
What they build
- Commercial autonomous trucks
- Robotaxis
Known for
- Physical AI leadership
- World-class team
- Founded by AI visionary Raquel Urtasun
- Partnerships across AI, automotive, logistics and deep tech
Key facts
- Offices in Toronto, San Francisco, Dallas, and Pittsburgh
- Backed by leaders in AI, automotive, logistics, and deep tech
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