Senior Deep Learning Systems Architect
Core
Design hardware accelerator and processor architectures enabling state-of-the-art machine learning and data analytics algorithms on next-generation mobile, embedded, and datacenter platforms.
Role type
Senior Deep Learning Systems Architect
Builds
Next-generation GPUs and AI systems
Domain
Semiconductor hardware architecture + Deep Learning
Deliverable
production ML models | infrastructure
Required skills
Deep Neural Networks fundamentals, DNN training frameworks (PyTorch, TensorFlow, JAX), Computer architecture, Numerical analysis, Performance analysis and optimization, C++, Python
Preferred skills
GPU computing (CUDA, OpenCL, OpenACC), HPC (MPI, OpenMP), MS/PhD in CS/EE
Responsibilities
Co-design architecture for AI systems from conception to prototyping, analyze AI/DL workloads mapping to hardware, identify bottlenecks and propose solutions, build analytical models and implement prototypes, benchmark systems to validate ideas
Seniority
Senior, hands-on IC
