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 performance, release after release. • Uplevel the developer experience by streamlining usability, diagnostics, and documentation-AI agents are your copilots for user support, troubleshooting, and rapid iteration. Qualifications • MS/PhD (or equivalent experience) in Computer Science, EE, or related field • Deep experience building AI compilers, accelerator backends, or graph optimization frameworks. • Strong expertise in graph optimization and performance optimization for NPUs or custom accelerators • Experience with MLIR, LLVM, TVM-like systems, or proprietary compiler IRs. • Excellent C/C++ and Python skills • Solid understanding of AI inference workloads (CNNs, transformers, perception or generative models) • Strong communication skills are required, e.g. agile development experience in Scrum team (Product Owner or Scrum Master) Nice to Have: • Experience with automotive or safety-critical systems. • Background in heterogeneous SoCs (CPU/GPU/DSP/NPU) • Performance modeling or hardware-software co-design experienc Additional Information