Senior Staff Application Technology Architect – Edge Artificial Intelligence & Machine Learning

Job Title

Senior Staff Application Technology Architect Edge Artificial Intelligence & Machine Learning

Role Summary

Technical authority for Edge AI/ML who defines architectures, roadmaps, and reusable frameworks for intelligent embedded and edge computing solutions. Collaborates with product teams, system architects, software groups, and customers to integrate AI capabilities across sensor, vision, and analytics applications.

Focus areas include on-device inference, hardware/software partitioning, model optimization for constrained platforms, and driving adoption of AI-enabled semiconductor solutions.

Experience Level

Senior - 10+ years of experience in AI/ML, advanced analytics, signal processing, computer vision, or intelligent embedded systems; prior technical leadership as an AI architect, principal engineer, or equivalent.

Responsibilities

The role leads AI architecture, design, and technical strategy for edge and embedded systems. Key responsibilities include:

• Define and own AI/ML architectures across embedded systems, edge devices, cloud-connected systems, and sensor solutions.
• Translate customer and market needs into AI solution architectures and technology roadmaps.
• Drive development of reusable AI frameworks, inference pipelines, model deployment methodologies, and reference implementations.
• Evaluate and adopt machine learning, deep learning, foundation-model, and agentic-AI technologies for product use.
• Design architectures for sensor intelligence, signal processing, computer vision, anomaly detection, predictive analytics, sensor fusion, and multimodal AI systems.
• Define hardware/software partitioning across MCUs, MPUs, NPUs, DSPs, FPGAs, AI accelerators, and cloud resources.
• Develop efficient deployment strategies and optimize models for accuracy, latency, memory, power, and cost on resource-constrained platforms.
• Collaborate with product, software, and research teams to integrate AI capabilities into solutions and support strategic customer engagements.
• Monitor AI/ML research trends and contribute to reference architectures, technical papers, patents, and ecosystem initiatives.
• Provide mentoring and technical leadership to engineering teams across the organization.

Requirements

Must-have technical skills, experience, and responsibilities:

• 10+ years experience in AI/ML, advanced analytics, signal processing, computer vision, or embedded intelligence.
• Proven track record in technical leadership roles (AI Architect, Principal AI Engineer, Chief Architect, AI Research Lead, or equivalent).
• Expertise in machine learning, deep learning, statistical modeling, explainable AI, time-series analysis, and predictive analytics.
• Experience with PyTorch, TensorFlow, ONNX, model optimization, data pipelines, and AI deployment frameworks.
• Strong understanding of embedded systems, edge computing platforms, and heterogeneous compute architectures (MCUs, MPUs, NPUs, DSPs, AI accelerators).
• Demonstrated ability to optimize performance, power, memory footprint, and cost for embedded AI workloads.
• Experience advising customers and collaborating cross-functionally to deliver productized AI solutions.

Nice-to-have:

• Experience developing patented AI technologies or algorithms and publishing in AI, ML, signal processing, or computer vision.
• Experience with foundation models, multimodal AI, agentic AI systems, sensor analytics, and anomaly detection.
• Practical experience deploying AI on embedded platforms and familiarity with semiconductor architectures and AI acceleration technologies.
• Industry experience across domains such as industrial automation, automotive, healthcare, robotics, aerospace, IoT, or consumer electronics.

Education Requirements

Master's or Ph.D. degree in Computer Science, Applied Mathematics, Artificial Intelligence, Electrical Engineering, Physics, Data Science, or a related field (explicitly listed in the posting).

About the Company

Company: Renesas

Headquarters: Hitachinaka, Japan

Renesas is a global leader in embedded semiconductor solutions, providing high-quality products across automotive, industrial, infrastructure, and IoT sectors. With over 22,000 employees in more than 30 countries, the company focuses on scalable solutions that enhance user experience and drive innovation while committed to sustainability and energy efficiency.