Deep Learning Architect - Hardware in Hillsboro, OR

$80K - $100K(Ladders Estimates)

NVIDIA Corporation   •  

Hillsboro, OR 97123

Industry: Telecommunications & Hardware

  •  

Not Specified years

Posted 31 days ago

NVIDIA is seeking creative programmers and architects who love to squeeze out every cycle of performance from deep learning codes. The team is doing groundbreaking development around computer architecture; building GPU's that are better at deep learning, as well as writing performance optimized code that will be built into all our major libraries.

If you someone with a deep understanding of architecture performance, and you enjoy working at the intersection of hardware and software, and you're passionate about deep learning, this role may be a great one for you. We are at the forefront of this industry space and would love a chance to talk to you about the work we are doing.

In this role, you will write code that ships in our deep learning libraries, as well as guide the course of our future GPU architectures. This position offers the opportunity to have real impact in a dynamic, technology-focused company.

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:


  • You will be completing your MS or PhD in a relevant discipline (CS, EE, Math)
  • You have strong mathematical foundation in machine learning and deep learning
  • You have strong 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:


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


Valid Through: 2019-11-8