Senior GPU Architect, Deep Learning
Core
Design new hardware features for future processing architectures targeted at deep learning workloads (training and inference) and advance the state of parallel computation.
Role type
Senior IC GPU Architect (Deep Learning)
Builds
Next-generation GPU architectures and parallel programming models for AI computing
Domain
Semiconductor hardware design + Deep Learning
Deliverable
production ML models
Required skills
Computer architecture, parallel processing, high-performance computing, hardware simulation, RTL design, C/C++/Python programming
Preferred skills
Deep learning algorithms, attention mechanisms, signal processing
Technologies
C, C++, Perl, Python, RTL, simulators, databases
Responsibilities
Design hardware features for deep learning workloads, develop software for hardware simulators and test infrastructures, validate and verify functional/performance models, develop test plans and testing infrastructure
Seniority
Senior, hands-on IC
