Senior Deep Learning Architect

Job Summary

A company is looking for a Senior Deep Learning Performance Architect.

Key Responsibilities

• Design novel GPU and system architectures to enhance AI Inference performance and efficiency
• Construct, investigate, and test popular deep learning algorithms and applications
• Collaborate across teams to guide AI direction and influence future algorithms and applications

Required Qualifications

• MS or PhD in a relevant field (CS, EE, Math) or equivalent experience with 5+ years of relevant experience
• Strong mathematical foundation in machine learning and deep learning
• Expert programming skills in C, C++, and/or Python
• Familiarity with GPU computing (CUDA or similar) and HPC (MPI, OpenMP) stack
• Strong knowledge and coursework in computer architecture