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What you’ll be doing:
Analyze performance of various machine learning/deep learning algorithms on different GPU architectures
Identify architecture and software performance bottlenecks and propose optimizations
Explore new features and hardware capabilities on deep learning applications
What we need to see:
BSc. MS or PhD in relevant discipline (CS, EE, Math, etc.,)
4+ years of working experience in relevant directions will be a plus
Be familiar with GPU or Accelerator-based deep learning platform and software stack
A strong background in computer architecture
Be familiar with LLM or generative AI deep learning algorithms
Experience on system architecture design and performance optimization
Familiar with machine learning and deep learning frameworks
These jobs might be a good fit