Engineer ML Kernel

Position: Engineer for ML Kernel Performance
Take on the challenge of optimizing machine learning kernel performance. Your expertise will focus on debugging, tool development, and enhancing inference capabilities across complex systems.
In this role, an engineer will merge software performance analysis with hardware system understanding to ensure ML models operate at peak efficiency. Responsibilities include building sophisticated performance models, optimizing kernel micro code, and developing comprehensive tools to visualize and understand performance data. You'll be instrumental in analyzing runtime behavior on systems to elevate overall throughput and effectiveness.

Key Responsibilities:

• Develop performance models for state-of-the-art ML applications

• Optimize and debug kernel micro code and algorithms

• Monitor and analyze performance across clusters

• Create tools to visualize performance insights
Requirements:

• Bachelors, Masters, or PhD in Electrical Engineering or Computer Science

• Expertise in computer architecture

• 3+ years of experience in performance optimization

• Familiarity with CPU/GPU performance simulators

• Proficient in C++ and Python
Leverage your engineering skills to advance the capabilities of machine learning models through high-performance optimization and innovative tooling.
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