Principal AI Compiler Engineer

Responsibilities

• 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.
• 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)

Requirements

• Experience with automotive or safety-critical systems.
• Background in heterogeneous SoCs (CPU/GPU/DSP/NPU)
• Performance modeling or hardware-software co-design experienc
• At Renesas, you can:
• Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.
• Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people's lives easier, safe and secure.
• Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day.
• Are you ready to own your success and make your mark?
• Join Renesas. Shape Your Future with Us .

Benefits

Additional Information

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.

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Company Intel

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