AI System Architect – Principal

AI System Architect – Principal

Requirements

• MS, PHD, MSEE with 12+ years of experience or PhD with 8+ years of applicable experience
• Solid grasp through academic or industry experience in multiple of the relevant areas – computer architecture, hardware software codesign, CPU/GPU kernel development, ML fundamentals (particularly DNNs)
• Programming fluency in C/C++, Python and familiarity with common ML frameworks (e.g. PyTorch) is preferred
• Prior experience developing algorithms for GPUs or DSPs is desired
• Research background with publication record in top-tier architecture, or machine learning venues is a huge plus (such as ISCA, MICRO, ASPLOS, HPCA, ICLR, NeurIPS, etc.)
• Self-motivated team player with strong sense of collaboration and initiative

Responsibilities

• Contribute to the definition of key software stack components while also feeding forward into the next hardware generation
• Keep up with the latest research in ML architecture and algorithms space, and collaborate with different partner teams including software and hardware engineering
• Map machine learning workloads into functional, performant algorithms using d-Matrix architecture
• Propose new features to enable or accelerate these algorithms
• Study the benefits of proposed features with performance models and generate software references

Preferred Qualifications

• Programming fluency in Python and familiarity with common ML frameworks (e.g. PyTorch) is preferred
• Prior experience developing algorithms for GPUs or DSPs is desired
• Research background with publication record in top-tier architecture, or machine learning venues is a huge plus (such as ISCA, MICRO, ASPLOS, HPCA, ICLR, NeurIPS, etc.)