Elevate AI processing with a pioneering semiconductor company as a Senior Machine Learning Compiler Engineer. Focus on optimizing compilers for innovative processing architectures in a hybrid or remote setting.
This full-time role is ideal for an engineer with over five years of experience in compiler engineering, particularly in deep learning contexts. You will build compilers for mapping neural networks onto unconventional compute arrays and collaborate with hardware teams to enhance model performance. This position is part of a highly selective team dedicated to groundbreaking technology that pushes the boundaries of AI.
Key Responsibilities:
• Optimize compilers for deep neural networks
• Fit ML models onto unique computing architectures
• Develop compiler infrastructure using LLVM and MLIR
• Collaborate closely with hardware and ML teams
• Apply compiler design principles to non-traditional architectures
Requirements:
• 5+ years in compiler engineering focused on ML
• Strong experience with LLVM and MLIR
• Familiarity with FPGA and neuromorphic architectures
• Proven ability to translate neural networks to hardware
• Passion for cutting-edge AI technology
Contribute to revolutionary AI processing advancements in a dedicated startup environment.
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