Senior GPU Architect, Deep Learning
Core
Define and drive future GPU architectures for deep learning and accelerated computing, translating workload insights into differentiated hardware features.
Role type
Senior IC hardware architect (GPU)
Builds
Future GPU products for training and inference workloads
Domain
Semiconductor hardware / Deep Learning acceleration
Deliverable
production ML models
Required skills
GPU architecture, microarchitecture, performance/power/area tradeoffs, C/C++/Python, architectural modeling, parallel computing, memory systems, high performance computing
Preferred skills
Memory subsystem architecture, interconnects, coherence, scheduling, execution pipelines, pre-silicon performance studies, silicon bring-up, large-scale deep learning model behavior
Technologies
C, C++, Python, RTL, silicon
Responsibilities
Define new GPU hardware features, drive microarchitectural exploration, analyze workload behavior, evaluate performance tradeoffs, develop functional models, collaborate with design/verification/software teams, create architecture specifications
Seniority
Senior, hands-on IC
