Teams at Peripheral

Supports founders and the Chief of Staff across operations, finance, administration, marketing, communications, office and people operations, sports events, logistics, vendor management, and special projects. The intern will manage projects end-to-end, build systems and processes, coordinate across functions, and help execute high-priority initiatives in a fast-paced, in-person startup environment.

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.

Lead research and development of real-time, photorealistic 3D and 4D reconstruction models for spatial intelligence. Set the research agenda, guide architecture and training strategy, manage datasets and evaluations, and deploy models into production. Lead and grow researchers and infrastructure engineers while evaluating emerging research, contributing to publications and patents, and driving experimentation across multi-node GPU environments.