Renesas Electronics Americas (REA) is a global semiconductor leader delivering innovative embedded solutions that enable billions of connected, intelligent, and sustainable devices worldwide.
About the role
In this role, you will serve as a technical authority for AI and machine learning, bridging advanced algorithms, sensor analytics, edge computing, and semiconductor technologies. You will collaborate with product groups, system architects, software teams, and strategic customers to develop innovative AI-enabled solutions that deliver differentiated value across multiple market segments.
What they're looking for
- Master's or Ph.D. degree in Computer Science, Applied Mathematics, Artificial Intelligence, Electrical Engineering, Physics, Data Science, or a related field
- 10+ years of experience in AI/ML, advanced analytics, signal processing, computer vision, or intelligent embedded systems
- Proven track record as an AI Architect, Principal AI Engineer, Chief Architect, AI Research Lead, or equivalent technical leadership role
- Proven Expertise In: Machine Learning, Deep Learning, Statistical Modeling, Signal Processing, Computer Vision, Sensor Analytics, Data Fusion, Pattern Recognition, Predictive Analytics, Time-Series Analysis, Explainable AI, Edge AI
- Strong Experience With: PyTorch, TensorFlow, ONNX, ML model optimization, Data pipelines, AI deployment frameworks
- Strong Understanding Of: Embedded systems, Edge computing platforms, Heterogeneous compute architectures, MCUs, MPUs, NPUs, DSPs, and AI accelerators, Performance, power, and memory optimization
More about this role
About the Role
We are looking for an experienced and visionary AI Architect to define, drive, and evolve artificial intelligence and machine learning technologies across a broad range of intelligent embedded and edge computing solutions.
In this role, you will serve as a technical authority for AI and machine learning, bridging advanced algorithms, sensor analytics, edge computing, and semiconductor technologies. You will collaborate with product groups, system architects, software teams, and strategic customers to develop innovative AI-enabled solutions that deliver differentiated value across multiple market segments.
Your work will help shape the company's AI strategy, accelerate adoption of edge intelligence, and enable next-generation intelligent systems through advanced machine learning, signal processing, perception, and data analytics technologies.
Key Responsibilities
Define and own AI/ML technology architectures spanning embedded systems, edge computing, cloud-connected systems, and intelligent sensor solutions.
Translate customer challenges, market opportunities, and technology trends into AI solution architectures and technology roadmaps.
Drive development of reusable...
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