Teams at Peripheral

Lead the company’s technical execution engine by establishing planning systems, operating rhythms, and communication frameworks. Partner with founders and engineering leaders to drive high-impact initiatives across AI, computer vision, hardware, and cloud infrastructure. Own product launches, customer deployments, partner initiatives, risk management, cross-functional alignment, and scalable processes that improve engineering velocity and support company growth.

Support research and engineering experiments in 3D reconstruction, neural rendering, and spatial modeling. Implement and evaluate ML techniques, develop experiment tooling, analyze model outputs, diagnose failures, optimize and integrate promising models into production systems, and document findings. The role requires Python, PyTorch, foundational ML and 3D computer vision knowledge, and in-office work in Toronto without immigration sponsorship.

Leads the Capture Systems team and architects spatial data capture infrastructure using cameras, LiDAR, mechatronics, firmware, and software. Responsibilities include managing multidisciplinary engineers, setting technical direction, making hardware and software architecture decisions, driving calibration, sensor fusion, 3D reconstruction, and state estimation, partnering with leadership and downstream teams, and managing camera installation plans for large venues.