Advanced Analytics Research Scientist - Industrial Edge Intelligence
Core
Design and deploy AI-native industrial automation systems capable of real-time reasoning, autonomous operation, and adaptive optimization at the edge.
Role type
Senior IC AI engineer/scientist (industrial edge intelligence)
Builds
AI-native industrial automation systems, edge inference architectures, and autonomous operational behaviors
Domain
Industrial automation, edge AI, cyber-physical systems
Deliverable
production ML models
Required skills
Edge AI systems, Machine learning systems engineering, Autonomous systems, Industrial AI, Embedded or distributed AI architectures, Python, Modern AI/ML frameworks, GPU-accelerated computing, Streaming and real-time systems, Control and optimization systems
Preferred skills
Reinforcement learning, Adaptive control, Time-series analytics, Anomaly detection, Digital twins, Simulation environments, Vision-language or multimodal AI systems, Cyber-physical systems, OT
Technologies
Python, GPU, Edge compute platforms, Streaming analytics, Distributed AI architectures
Responsibilities
Develop AI-native industrial systems for real-time reasoning and decision making, Design and deploy AI solutions on edge compute platforms, Build architectures combining generative AI, small language models, and reinforcement learning, Ensure low-latency AI execution within industrial environments, Integrate AI capabilities with industrial automation systems and robotics platforms, Collaborate with teams spanning AI research, controls engineering, and industrial operations
Seniority
Senior, hands-on IC
