Nvidia Deep Learning Architect - New College Grad 

United States, Texas 

260132462

What you’ll be doing:

• Develop innovative HW, DSP, GPU and system architectures to extend the state of the art in deep learning performance and efficiency

• Analyze and prototype key deep learning and data analytics algorithms and applications

• Understand and analyze the interplay of hardware and software architectures on future algorithms and applications

• Collaborate across the company to guide the direction of machine learning, working with software, research and product teams

What we need to see:

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

• Strong mathematical foundation in machine learning and deep learning

• Expert programming skills in C, C++, Perl, or Python

• Familiarity with GPU computing (CUDA, OpenCL) and HPC (MPI, OpenMP)

• Strong knowledge and coursework in computer architecture

Ways to stand out from the crowd:

• Background with systems-level performance modeling, profiling, and analysis

• Experience in characterizing and modeling system-level performance, executing comparison studies, and documenting and publishing results