Teams at Peripheral

Designs and operates cloud infrastructure for large-scale ML training and production model serving. Responsibilities include distributed PyTorch training, GPU/TPU clusters, data pipelines for video and sensor data, infrastructure-as-code, CI/CD, observability, security, reliability, and developer tooling. The role partners across research and engineering, supports live customer-facing workloads, and mentors growing infrastructure teams.

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.

Design and build protective enclosures for cameras, LiDARs, and other capture hardware. Develop CAD models, prototypes, and fabrication-ready designs while balancing thermal management, weatherproofing, cable management, manufacturability, and cost. Test and iterate designs in collaboration with embedded, robotics, and electrical engineers, ensuring proper fit and protection for electronics and PCBs. Document designs and contribute to the mechanical design library.