Drive cutting-edge AI development as a Kernel Engineer. Specialize in optimizing deep learning operations and enhancing hardware-software intersections to maximize performance and efficiency.

This role involves developing high-performance software for AI and HPC workloads. As a key player in a world-class team, you will focus on performance tuning, validation, and design of ML and HPC kernels. Besides, you will create a library of parallel algorithms that enhance compute utilization while pushing the limits of AI model training efficiency.

Key Responsibilities:
• Develop design specifications for ML and algebra kernels
• Create optimized kernel routines in assembly and CSL
• Measure software performance using mathematical models
• Implement unit and system testing methodologies
• Research trends in Machine Learning and kernel architecture

Requirements:
• Degree (Bachelor's/Master's/PhD) in relevant fields
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