Tokyo Renesas Electronics Full time
Job Summary: We're seeking a talented AI Model Optimization, Quantization and Framework Engineer to develop AI compiler frameworks and accelerate machine learning workloads on next-generation AI hardware.

About the Role:
  • Develop AI compiler frameworks to optimize deep learning models and accelerate machine learning workloads on next-generation AI hardware.
  • Analyze deep learning models and develop techniques to lower them efficiently on AI platforms.
  • Collaborate with AI researchers to improve model performance and optimize compiler frameworks.
  • Work closely with hardware design teams to develop compiler optimizations for high-performance computing.
  • Design and develop software development best practices to optimize features, optimization, and performance tuning techniques.

About the Company: Renesas is a top global semiconductor company that strives to develop a safer, healthier, greener, and smarter world. We aim to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure, and IoT markets. Our robust product portfolio includes world-leading MCUs, SoCs, analog, and power products, plus Winning Combination solutions that curate these complementary products. We employ roughly 21,000 people in more than 30 countries worldwide and are committed to diversity and inclusion.

About the Team: Our AI & Cloud Engineering (ACE) Division and Hybrid Compiler team are developing a comprehensive AI Compiler strategy that delivers a highly flexible platform to explore new DL/ML model architectures. We are a global team of around 100 software engineers, and we are planning to triple in size in the next three years.

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