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The ML Features Solutions Engineer will develop, optimize, and deploy core machine learning features for enterprise applications while collaborating with cross-functional teams to ensure production-grade quality and performance.

The Principal Engineer will lead post-silicon validation and debugging of high-speed IO and memory subsystems, ensuring performance and reliability for AI compute platforms.

Responsible for post-silicon validation, debug, and validation of high-speed IO and memory subsystems to ensure reliable AI systems. Lead efforts in debugging, product validation, and development of tools for automation.

Lead development and optimization of the compiler stack for ML systems, collaborate across teams, integrate and deploy products, map ML operations to hardware, and drive compiler infrastructure innovation and performance debugging.