Renesas Electronics is on the hunt for a trailblazing Sr Staff Agentic Models Engineer to supercharge our System-on-Chip (So. C) AI team. If you thrive in a fast-moving, startup-style environment where every day brings new challenges, trends, and opportunities, this role is for you. We're building AI-first products that redefine autonomy and adaptability; our systems are designed to learn, evolve, and make decisions independently. We're looking for someone who’s passionate, self-motivated, and hungry to push boundaries—someone who’s obsessed with staying ahead of the curve and rapidly adapting to the latest in AI and embedded tech. If you have a proven track record in AI, embedded systems, and product innovation, and you love turning groundbreaking ideas into impactful products, join us to shape the future of intelligent devices. Responsibilities: Own the full lifecycle of AI-first agentic systems, from rapid ideation and requirements gathering through architecture, implementation, hands-on testing, and launch—using AI for all stages unless a human touch is essential. Work side-by-side with hardware, software, and product teams to embed AI capabilities that drive agentic behavior—autonomy, continuous learning, and real-time adaptability—directly onto smart devices, with human input only when necessary. Constantly scout, experiment with, and deploy the latest AI models and algorithms -like reinforcement learning and multi-agent systems, adopting new tech every day rather than waiting for monthly cycles. Push the limits by tuning AI solutions for top-tier performance, ultra-efficient power usage, and bulletproof reliability on Renesas So. C platforms, leveraging AI-driven optimization wherever possible. Qualifications. Education: Degree in CS, EE, Math, Stats, or Physics. Showcase your hands-on artifacts in AI product development—with real-world agentic projects or a public GitHub bursting with innovation. Bring deep mastery in agentic AI systems, from building autonomous agents and crafting reinforcement learning solutions to deploying adaptive algorithms and cutting-edge tech like Retrieval-Augmented Generation (RAG), persistent memory operating systems, and collaborative multi-agent architectures. Be fluent in Python and C/ C , and have strong street cred using top-tier AI frameworks like Tensor. Flow and Py. Torch. Crush complex problems, communicate like a pro, and inspire teams with your leadership mojo. Preferred Qualifications Deep chops in hardware/software co-design—think seamlessly fusing code and circuits for next-level products. Hands-on experience building and turbocharging embedded software for devices where every byte and milliwatt counts. A proven track record shipping game-changing AI and embedded products that actually make it to market.