Solutions Architect, AI and ML
Benefits:
Equity
Benefits
Education Requirements:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields
Experience Requirements:
3+ Years in Solutions Architecture
3+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow
Other Requirements:
Active contributions to open-source AI inference projects
Experience optimizing and deploying large MoE LLMs at scale
Experience with Multi-GPU Multi-node Inference technologies
Responsibilities:
Help cloud customers craft and maintain GPU-accelerated inference pipelines
Enhance performance tuning using TensorRT, vLLM, and Triton Inference Server
Offer technical mentorship to cloud customers implementing AI inference at scale
Build custom PoCs for solutions addressing business needs
Partner with Sales Account Managers to identify new business opportunities
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