Staff Engineer, AI Compiler - Automotive SoC

Renesas Electronics is searching for a hands-on AI Compiler Engineer who thrives at the convergence of cutting-edge AI, compiler tech, and hardware design. Here, you’ll not only architect and scale a production-class AI compiler toolchain, but also rethink how AI automates, optimizes, and accelerates every step of building and deploying neural networks on Renesas SoCs. You’ll work shoulder-to-shoulder with visionary engineers—both human and AI—enabling adaptive compilers that learn, evolve, and redefine what’s possible for embedded intelligence. With a relentless focus on hardware-software co-design, you’ll collaborate across teams to translate high-level AI models into blazing-fast, energy-efficient executables, unlocking the full potential of our silicon for real-world impact. Innovation here isn’t a catchphrase—it’s your everyday. What You’ll Do · Own the design, implementation, and evolution of an AI compiler toolchain that leverages AI agents to seamlessly map neural networks onto Renesas SoC platforms. · Pioneer new graph transformations, lowering, scheduling, and codegen strategies for CPUs and custom accelerators, driven by insights from AI-powered analytics. · Build deep integrations with leading AI frameworks (PyTorch, TensorFlow, ONNX, and more), using AI agents to rapidly onboard new model architectures and ops. · Push the envelope on quantization, operator fusion, memory planning, and layout transformations—combining human expertise and AI-guided design for state-of-the-art results. · Partner with hardware and software architects, kernel hackers, and AI agents to co-design next-gen compiler and accelerator features, aligning silicon and code for maximum impact. · Diagnose and crush performance bottlenecks with AI-enabled profiling and diagnostics, relentlessly tuning for latency, throughput, and power efficiency. · Level up validation, benchmarking, and regression pipelines by harnessing AI agents—ensuring compiler correctness and world-class performanc