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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.

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 AI frameworks, software architectures, inference pipelines, model-deployment methodologies, and reference implementations.
Lead the evaluation, development, and adoption of machine learning, deep learning, foundation-model, 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 systems.
Drive hardware/software partitioning across MCUs, MPUs, AI accelerators, NPUs, DSPs, FPGAs, and cloud resources.
Define efficient deployment strategies for AI workloads on resource-constrained embedded platforms.
Evaluate and optimize AI models for accuracy, latency, memory footprint, power consumption, and cost.
Collaborate closely with product groups, software teams, system architects, and research partners to integrate AI capabilities into future solutions.
Support strategic customer engagements and act as a trusted advisor on AI architecture and deployment.
Monitor advances in AI/ML research and identify opportunities for product differentiation and innovation.
Contribute to AI reference architectures, technical papers, application notes, patents, and ecosystem initiatives.
Provide mentoring and technical leadership to engineering teams across the organization.

Requirements

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
PhD in Applied Mathematics, Machine Learning, Signal Processing, Computer Vision, or related discipline
Experience developing patented AI technologies or algorithms
Publications in AI, machine learning, signal processing, or computer vision
Experience with foundation models, multimodal AI, and agentic AI systems
Experience with sensor analytics and anomaly detection
Experience in embedded AI deployment
Familiarity with semiconductor architectures and AI acceleration technologies
Industry experience spanning multiple domains such as industrial automation, automotive, healthcare, robotics, aerospace, IoT, or consumer electronics

Skills

AI/ML
Advanced analytics
Signal processing
Computer vision
Intelligent embedded systems
Machine Learning
Deep Learning
Statistical Modeling
Sensor Analytics
Data Fusion
Pattern Recognition
Predictive Analytics
Time-Series Analysis
Explainable AI
Edge AI
PyTorch
TensorFlow
ONNX
ML model optimization
Data pipelines
AI deployment frameworks
Embedded systems
Edge computing platforms
Heterogeneous compute architectures
MCUs
MPUs
NPUs
DSPs
AI accelerators
Performance optimization
Power optimization
Memory optimization
Foundation models
Multimodal AI
Agentic AI systems
Sensor analytics
Anomaly detection
Semiconductor architectures
AI acceleration technologies

Location

California Bay Area

Work Type

Regular (PERM)
No Remote Work Available

Experience Level

10+ years of experience
Technical leadership role

Education Level

Master's or Ph.D. degree in Computer Science, Applied Mathematics, Artificial Intelligence, Electrical Engineering, Physics, Data Science, or a related field.
PhD in Applied Mathematics, Machine Learning, Signal Processing, Computer Vision, or related discipline

Benefits

Competitive benefits package

About the Company

Renesas Electronics Americas (REA) is a global semiconductor leader delivering innovative embedded solutions that enable billions of connected, intelligent, and sustainable devices worldwide.
We combine the resources and stability of a multi-billion-dollar global organization with the speed, collaboration, and customer focus of an entrepreneurial technology company.
Our products and solutions support some of the industry's most exciting innovations across AI infrastructure, cloud and networking platforms, automotive systems, industrial automation, robotics, and IoT applications.
Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier.
With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world‑leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.
At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together.
This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.

Equal Opportunity

Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law.
For more information, please read our Diversity & Inclusion Statement.
Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.