Atomic VC Benefits Overview

Develop and maintain embedded Linux device platforms from BSP through application level. Own reliable on-device video pipelines using RTSP, GStreamer or FFmpeg, WebRTC, and hardware acceleration. Collaborate across hardware, ML, backend, and mobile teams; drive features through production; diagnose remote fleet issues; and establish observability, reliability, and recovery standards for devices operating on consumer home networks.

Own the architecture, quality, and technical direction of a production perception system for home security hardware. Develop robust computer vision and machine learning pipelines for multi-camera tracking, sensor fusion, object identity, and edge GPU inference. Define evaluation metrics, regression infrastructure, observability, and failure handling while optimizing accuracy, latency, and cost. Lead cross-functional technical decisions and mentor engineers across perception, hardware, cloud, and product teams.

Build and deploy domain-specific AI agents and AI-native workflow systems for operating companies. Responsibilities include developing evaluation infrastructure, fine-tuning and routing frontier and open models, migrating legacy datasets, observing customer workflows, creating reusable AI engineering infrastructure and playbooks, and managing embedded AI engineers while spending approximately 90% of the time building.