Senior Staff Application Technology Architect – Edge Artificial Intelligence & Machine Learning
Core
Define, drive, and evolve AI/ML technologies for intelligent embedded and edge computing solutions, bridging algorithms, sensor analytics, and semiconductor technologies.
Role type
Senior Staff Application Technology Architect (Edge AI & ML)
Builds
AI-enabled solutions for embedded systems, edge computing, and intelligent sensor platforms
Domain
Semiconductor industry + Edge AI / Embedded Systems
Deliverable
production ML models
Required skills
Machine Learning, Deep Learning, Signal Processing, Computer Vision, Sensor Analytics, Data Fusion, Pattern Recognition, Predictive Analytics, Time-Series Analysis, Explainable AI, Edge AI
Preferred skills
Foundation models, Multimodal AI, Agentic AI, Patented AI technologies, Publications in AI/ML
Technologies
PyTorch, TensorFlow, ONNX, AI deployment frameworks, MCUs, MPUs, NPUs, DSPs, FPGAs
Responsibilities
Define AI/ML technology architectures spanning embedded systems and edge computing; Translate customer challenges into AI solution architectures and roadmaps; Drive development of reusable AI frameworks and inference pipelines; Evaluate and optimize AI models for accuracy, latency, and power consumption; Provide mentoring and technical leadership to engineering teams.
Seniority
Senior Staff, hands-on IC with strategic leadership
