Top Tech Jobs & Startup Jobs in Toronto

Research Engineer developing human-robot interaction systems for consumer robots. The role spans robotics research and hands-on engineering across motion, perception, sensing, actuation, thermals, inference, firmware, hardware, datasets, and evaluation. Responsibilities include inventing and testing novel approaches, building real hardware and ML systems, deploying reliable low-latency solutions on edge devices, and documenting reproducible results. Candidates should demonstrate self-directed projects, end-to-end artifacts, hardware experience, ML deployment, and cross-layer technical adaptability.

Support development of consumer character robots through hands-on mechanical prototyping, controls integration, calibration, CAD iteration, fixture design, test-rig operation, reliability testing, and integration troubleshooting. The intern will build rigs, wire sensors, create simple test scripts, document results, and translate mechanical design changes into controls adjustments while working across the physical robotics stack.

Develop and prototype robotic hardware for expressive, interactive consumer robots. Design mechanical systems, electronics, PCBs and embedded integrations, collaborate with ML/software engineers, and iterate on perception and interaction hardware for production-ready robots.

The role involves designing and tuning control systems for robotics, integrating hardware, developing control algorithms, and collaborating with engineers to enhance robot motion and responsiveness.

The Robotics Engineer will design and tune control systems, integrate hardware and software, and work with a team to enhance robot behaviors, emphasizing hands-on experience with robotics and embedded systems.

As an intern, you'll develop software and machine learning systems for robots, focusing on perception, intelligence, behavior, and real-time software integration.

As an Electrical Engineer, you'll design and validate PCBAs for robotic subsystems, conduct hands-on bench work, and debug hardware issues. You'll collaborate on evolving the electrical architecture and support integration with firmware while owning designs from schematic to final product.

The ML Engineer will develop and advance multimodal models for robot perception and behavior, integrating these systems into hardware while collaborating closely with robotics engineers.

The role involves designing and validating electrical systems for robots, performing hands-on work with PCBAs, and supporting hardware integration and debugging.

Design, train, and deploy real-time computer vision and multimodal perception models for person detection, tracking, pose/gesture/emotion recognition, and scene understanding. Build data collection/labeling pipelines, optimize models for edge inference, integrate perception with behavior and firmware, debug failures, and evolve perception architecture from prototype to deployed robot systems.