Jobs at Phantom AI

Reviews annotated images and sensor datasets for quality, identifies root causes, collaborates with engineering, product, labeling teams, and vendors to resolve issues, and improves QA workflows, tools, guidelines, and documentation. Makes independent decisions on quality standards and edge cases while supporting scalable labeling operations.

Own and evolve the real-time runtime and data pipelines for an automotive multi-camera vision stack: task orchestration, IPC, sensor ingestion, deterministic latency, portability across ECUs and datacenter, simulation/replay/test infra, vehicle communications, and safety/security engineering.

Design and implement advanced deep learning architectures for ADAS; optimize model performance; collaborate with cross-functional teams for integration and validation.