Sr Staff Application Engineer
Core
Define, drive, and evolve AI/ML technologies for intelligent embedded and edge computing solutions, bridging advanced algorithms, sensor analytics, and semiconductor technologies.
Role type
Sr Staff AI Architect (Embedded/Edge)
Builds
Reusable AI frameworks, inference pipelines, model-deployment methodologies, and reference implementations for edge intelligence.
Domain
Embedded systems, Edge computing, Semiconductor technologies, AI/ML
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, Model Optimization, Hardware/Software Partitioning
Preferred skills
Foundation Models, Multimodal AI, Agentic AI, Patented AI technologies, Publications in AI/ML
Technologies
PyTorch, TensorFlow, ONNX, AI accelerators, 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 deployment strategies; Evaluate and optimize AI models for accuracy, latency, and power; Collaborate with product groups and research partners to integrate AI capabilities; Provide mentoring and technical leadership to engineering teams.
Seniority
Sr Staff, hands-on IC with strategic leadership
