Principal AI Compiler Engineer

Renesas Electronics • Austin, TX

2d • Hybrid

About The Position

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.

Requirements

• 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 Haves

• Experience with automotive or safety-critical systems.
• Background in heterogeneous SoCs (CPU/GPU/DSP/NPU)
• Performance modeling or hardware–software co-design experienc

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal