Analytics Data science and IOT Principal
Summary
Principal role designing and deploying AI/IoT systems for real-time video analytics, sensor data, and edge deployments using NVIDIA tech and cloud/edge integration.
Req ID 36834Must have skills:Hands-on experience with NVIDIA AI, GPU or edge AI technologies.Computer vision, video analytics or sensor-data processing experience.Real-time data ingestion and streaming architecture.Edge deployment experience across cameras, IoT devices or distributed infrastructure.Experience with AI model deployment, testing and optimization.Strong technical understanding of synthetic data, simulation or digital twins.Practical knowledge of containers, Kubernetes, APIs and cloud/edge integration.Ability to support demos, architecture discussions and technical client workshops.Nice to have skills:NVIDIA Metropolis, DeepStream, Jetson, Omniverse, Cosmos, NIM or NeMo experience.Crowd management, smart city, transport, airport, port, campus or public safety experience.Kafka, Flink, Spark Streaming or similar real-time data platforms.VLMs, physical AI, agentic AI or AI-assisted video understanding.Experience creating synthetic data pipelines or scenario libraries.Experience with model validation, monitoring, drift detection and performance benchmarking.Years of experience:For the stronger technical lead: 7–10+ years