Senior Staff Application Technology Architect – Artificial Intelligence & Machine Learning

Job Title

Senior Staff Application Technology Architect – Artificial Intelligence & Machine Learning

Role Summary

Lead definition and technical direction of AI and ML technologies for embedded and edge systems. Act as a cross-functional technical authority working with product, software, systems, and customers to deliver AI-enabled solutions across multiple market segments.

Work focuses on architecture, model deployment, hardware/software partitioning, and optimization of AI workloads on resource-constrained platforms.

Experience Level

Senior - requires substantial leadership and technical experience. The role requests 10+ years of relevant experience.

Responsibilities

The role owns AI/ML architecture, drives solution roadmaps, and provides technical leadership across product and customer engagements.

• Define and own AI/ML technology architectures for embedded, edge, cloud-connected, and sensor-based systems.
• Translate customer problems and market trends into AI solution architectures and technology roadmaps.
• Drive development of reusable AI frameworks, inference pipelines, model-deployment methodologies, and reference implementations.
• Lead evaluation and adoption of machine learning, deep learning, foundation models, and agentic-AI technologies.
• Define architectures for sensor intelligence, signal processing, computer vision, anomaly detection, predictive analytics, sensor fusion, autonomous decision making, and multimodal AI.
• Drive hardware/software partitioning across MCUs, MPUs, AI accelerators (NPUs), DSPs, FPGAs, and cloud resources.
• Define efficient deployment strategies and optimize AI workloads for accuracy, latency, memory footprint, power consumption, and cost on resource-constrained platforms.
• Collaborate with product groups, software teams, system architects, and research partners to integrate AI capabilities into products.
• Support strategic customer engagements and act as a trusted technical advisor on AI architecture and deployment.
• Mentor engineering teams and provide technical leadership; contribute to reference architectures, papers, patents, and ecosystem initiatives.

Requirements

Must-have technical skills, experience, and leadership expected for immediate contribution.

• 10+ years of experience in AI/ML, advanced analytics, signal processing, computer vision, or intelligent embedded systems.
• Proven track record in senior technical roles such as AI Architect, Principal AI Engineer, Chief Architect, or equivalent.
• Expertise in machine learning and deep learning methods, statistical modeling, time-series and predictive analytics, explainable AI, and edge AI.
• Strong software and tooling experience: PyTorch, TensorFlow, ONNX, model optimization, data pipelines, and AI deployment frameworks.
• Deep understanding of embedded systems and edge computing platforms, heterogeneous compute architectures, and AI acceleration technologies.
• Experience evaluating and optimizing models for latency, memory, power, and cost; and partitioning workloads across hardware targets.
• Nice-to-have: publications, patents, or a PhD; experience with foundation models, multimodal or agentic AI; domain experience in industrial automation, automotive, healthcare, robotics, aerospace, IoT, or consumer electronics.
• Nice-to-have: hands-on experience with sensor analytics, anomaly detection, and embedded AI deployment.

Education Requirements

Master's or Ph.D. in Computer Science, Applied Mathematics, Artificial Intelligence, Electrical Engineering, Physics, Data Science, or a related field. (Source lists Master's or Ph.D.; related technical degrees acceptable.)

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.