Lead Architect for AI Model Optimization

Drive cutting-edge AI architecture as a Lead Architect in the Computing Data Application Acceleration Lab. Focus on enhancing model efficacy and hardware efficiency in foundational AI models. Join a visionary team focused on creating a top-tier data analytics platform that integrates software and hardware innovations. This role leads the design of foundational model architectures for various AI subfields, ensuring state-of-the-art performance post-training. You will also propose technical requirements for large-scale distributed training to optimize AI hardware and infrastructure. Key Responsibilities:

• Design foundational architectures for LLM and multimodal models
• Collaborate with organizations to enhance AI training methods
• Analyze computational characteristics for AI performance
• Propose and implement distributed training infrastructures
• Drive innovations in AI hardware and software co-design

Requirements:

• Experience with AI models at 10B+ parameters
• Proficiency in PyTorch and distributed inference techniques
• Understanding of AI chip architectures like GPU and TPU
• PhD preferred in AI architecture or related fields
• Solid publication history in AI systems or design

Elevate AI innovation through impactful architecture design and performance optimization. #J-18808-Ljbffr