Sr Staff Application Engineer

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. Join Renesas and help drive the next generation of technology with the world's leading innovators. We are seeking an experienced Key Account Manager in the California Bay Area to join Renesas' Ecosystem Partners team and lead engagement with one of our most strategic global semiconductor customers. This customer is a leading provider of networking, broadband, custom silicon, storage, and AI infrastructure solutions serving hyperscale cloud, enterprise, and communications markets. In this role, you will drive strategic ecosystem initiatives, foster technical and business partnerships, and expand Renesas content through reference designs, platform engagements, and next-generation infrastructure programs.  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 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  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.  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 Nice to Have  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  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, a