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/distributed AI architectures, Python, Modern AI/ML frameworks, GPU-accelerated computing, Streaming/real-time systems, Control and optimization systems
Preferred skills
Reinforcement learning, Time-series analytics, Digital twins, Vision-language/multimodal AI, Cyber-physical systems (OT)
Technologies
Python, GPU, Edge compute platforms, Industrial automation platforms, Robotics platforms
Responsibilities
Develop AI-native systems for real-time reasoning and autonomous operation; Design and deploy AI solutions on edge compute platforms with CPU/GPU acceleration; 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, robotics, and sensors; Collaborate with AI research, controls engineering, and industrial operations teams
Seniority
Senior, hands-on IC
