Senior DL Performance Architect - AI Hardware & Equity

NVIDIA; Hillsboro (OR); On-site; USD 184,000 - 288,000; Full time

Job summary

NVIDIA in Hillsboro, OR is seeking a Senior Deep Learning Performance Architect to push the limits of AI and HPC. You will help develop innovative HW architectures, benchmark AI workloads in single and multi-node configs, and build high-level simulators in C++ and Python to inform product decisions.

We expect an MS or PhD in CS/EE/CE or equivalent, 4+ years in parallel computing and DL workloads, and strong Python and C++ skills.

Qualifications

• MS or PhD in CS, EE, CE, or equivalent experience.
• 4+ years in parallel computing architectures and DL workloads.
• Experience evaluating GPU/ASIC architecture for training or inference.
• Strong Python and C++ programming skills.

Responsibilities

• Develop innovative HW architectures for parallel compute performance and energy efficiency.
• Benchmark and analyze AI workloads on single and multi-node configurations.
• Develop high-level simulators and analysis tools in C++/Python.
• Evaluate PPA (performance, power, area) for hardware features and system-level architectural trade-offs.
• Collaborate with peer architecture teams and product management to guide development of the products.
• Stay abreast with emerging trends and research in deep learning.

Skills

Python

C++

Deep learning

GPU architectures

Parallel computing

CUDA

Education

MS/PhD in CS/EE/CE

Tools

CUDA

Job description

NVIDIA in Hillsboro, OR is seeking a Senior Deep Learning Performance Architect to push the limits of AI and HPC. You will help develop innovative HW architectures, benchmark AI workloads in single and multi-node configs, and build high-level simulators in C++ and Python to inform product decisions.

We expect an MS or PhD in CS/EE/CE or equivalent, 4+ years in parallel computing and DL workloads, and strong Python and C++ skills.