AI Compiler Engineer

2 weeks ago


Beijing, Beijing, China Renesas Electronics Full time
Job Title: AI Compiler Engineer

We are seeking a highly skilled AI Compiler Engineer to join our team at Renesas Electronics. As a key member of our AI & Cloud Engineering Division, you will be responsible for developing and optimizing AI compiler frameworks to accelerate machine learning workloads on next-generation AI hardware.

Key Responsibilities:
  • Design and develop AI compiler frameworks to optimize machine learning workloads on various hardware architectures.
  • Collaborate with AI researchers to analyze deep learning models and develop efficient compiler optimizations.
  • Partner with hardware design teams to develop compiler optimizations for high-performance computing.
  • Apply software development best practices to design features, optimization, and performance tuning techniques.
Requirements:
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Mathematics, Physics, Electrical Engineering, or related field.
  • Experience in C/C++, Python, or other related programming languages.
  • Experience in accelerating deep learning models or libraries on hardware architectures.
  • Experience with Post-Training Quantization (PTQ), Quantization-Aware Training (QAT), and other quantization techniques.
  • Experience working with machine learning frameworks such as PyTorch, TensorFlow, ONNX, etc.
  • Ability to speak and write in English at a business level.
About Us:

Renesas Electronics is a leading automotive electronics supplier globally. Our AI & Cloud Engineering Division is focused on developing the latest AI and cloud technologies to deliver the best AI inference for advanced driver safety engineers building self-driving vehicles and other high-performance compute products.

We are a newly formed organization of around 100 software engineers, and we are planning to triple in size in the next three years. If you are successful and living outside of our Tokyo, Beijing, and Singapore sites, we can support your relocation to one of the three sites based on team needs.



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