Nvidia Senior Inference Performance Architect - Deep Learning 

United States, Texas 

455167402

What you’ll be doing:

• Analyze performance and power efficiency of the most important deep learning inference workloads

• Understand and analyze the interplay of hardware and software architectures on forward-looking algorithms, programming models and applications

• Identify and prototype opportunities for performance optimization

• Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW

What we need to see:

• MS or PhD in a relevant discipline (CS, EE, CE) or equivalent experience

• 6+ years of relevant work/research experience

• Solid foundation in machine learning and deep learning

• Excellent programming skills in Python, C, C++

• Strong background in computer architecture

• Experience with performance modeling, architecture simulation, profiling, and analysis

• A track record of creative solutions to technical challenges

Ways to stand out from the crowd:

• CUDA programming skills

• Background with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, Tensorflow, TensorRT)

• Experience with the architecture of or workload analysis on GPUs or other DL accelerators