Senior Staff AI Compiler Engineer

MS/PhD (or equivalent experience) in Computer Science, EE, or related field

Hands-on experience with compilers, AI systems, or high-performance software, and a genuine interest in using AI to enhance engineering productivity and drive innovation.

Comfortable coding in C/C++ and Python, able to contribute to established codebases, and open to collaborating with teammates and AI agents.

Understanding of machine learning models, computational graphs, and operator concepts, with a willingness to learn how AI can support and streamline processes.

Familier with compiler frameworks (TVM, MLIR, LLVM, etc.) or proprietary stacks, and interest in learning how to extend their features with AI-driven approaches.

General knowledge of CPU/GPU/accelerator architecture, memory systems, and optimization principles, with enthusiasm for working on hardware-software integration projects.

Renesas is an embedded semiconductor solution provider driven by its Purpose ‘

To Make Our Lives Easier

.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power.

With a diverse team of over 22,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘

To Make Our Lives Easier

.’

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.

Responsibilitiess:

Develop an AI compiler toolchain, working with AI agents to map neural networks onto Renesas SoC platforms.

Creating and testing new graph transformations, lowering, scheduling, and code generation methods for CPUs and custom accelerators, using insights from AI-powered analytics.

Work on integrating popular AI frameworks like PyTorch, TensorFlow, and ONNX, using AI agents to support new model architectures and operations more quickly.

Improve quantization, operator fusion, memory planning, and layout transformations, learning from both team members and AI-guided designs for better performance.