Renesas Electronics America

Staff Engineer, AI Compiler - Automotive SoC

Renesas Electronics America$130K — $155K *
Manufacturing & Automotive
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • MS/PhD in Computer Science, Electrical Engineering, or related field
  • Extensive experience in AI compilers and accelerator backends
  • Expert in graph and performance optimization for NPUs or custom accelerators
  • Familiarity with MLIR, LLVM, and TVM or similar systems
  • Proficient in C/C++ and Python programming
  • Deep understanding of AI inference workloads like CNNs and transformers
  • Strong communication skills with agile development experience

Responsibilities

  • Design and implement an AI compiler toolchain for Renesas SoC platforms
  • Innovate graph transformations, scheduling, and code generation strategies
  • Integrate with AI frameworks such as PyTorch and TensorFlow using AI agents
  • Optimize quantization and memory planning with AI-guided techniques
  • Collaborate with hardware and software architects to enhance compiler features
  • Identify and solve performance bottlenecks through AI-enabled profiling
  • Improve validation and regression pipelines using AI for compiler correctness
  • Enhance the developer experience with streamlined support and documentation

Benefits

  • Competitive benefits package
  • Opportunities for professional development
  • Collaborative and innovative working environment
  • Access to cutting-edge technology and projects
  • Focus on work-life balance and employee wellbeing
Full Job Description
Job Description

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

We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.

Are you ready to join our team and shape the future with us?

Videos To Watch
https://www.youtube.com/embed/k-zs4tB6nNc

About Renesas Electronics America

Renesas Electronics America is a leading supplier of advanced semiconductor solutions including microcontrollers, SoC solutions and a broad range of analog and power devices, with operations spanning research, development, design and manufacturing for a wide range of applications.
Learn more about Renesas Electronics America
Size
2,000 employees
Industry

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