Senior Deep Learning Computer Architect
Core
Designing hardware accelerator and processor architectures to enable state-of-the-art machine learning and data analytics algorithms on next-generation mobile, embedded, and datacenter platforms.
Role type
Senior IC computer architect (deep learning hardware)
Builds
Next-generation GPUs and AI computing platforms
Domain
Semiconductor hardware / Deep Learning / AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Computer architecture (GPU/system level), Performance analysis and optimization, LLM workload tuning (parallelization/fusion), Deep learning kernels (matrix multiply, attention, convolution), C++ programming, CUDA, PyTorch
Preferred skills
Python programming
Technologies
CUDA, PyTorch, C++, Python
Responsibilities
Analyze behavior of deep learning methods, propose new features to accelerate or enable methods, study benefits of proposed features, collaborate with DL researchers, hardware architects, and software engineers
Seniority
Senior, hands-on IC
