Qualcomm Compute Architecture / Machine learning Eng. - GPU in San Diego, California

Job Description:

Job Id

E1965102

Job Title

Compute Architecture / Machine learning Eng. - GPU

Post Date

06/27/2018

Company


Division

Qualcomm Technologies, Inc.


CDMA Technology at http://www.qualcomm.com/about/businesses/qct

Job Area

Engineering - Systems

Location

California - San Diego

Job Overview

Drive the next generation of GPU architecture for the needs of machine learning through rigorous top-down modeling process. Develop new features, use cases, software libraries and system-level implementation prototypes.

All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.

Minimum Qualifications

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

  • 5+ years Systems Engineering or related work experience.

Preferred Qualifications

Industry experience in:

  • C++ programming, OO design

  • Working knowledge of GPGPU concepts

  • Application development using OpenCL/CUDA/MetalCompute

  • Familiarity with machine learning algorithms and frameworks

  • Experience in GPU architecture (modeling, optimization, benchmarking)

  • Experience with performance analysis/tuning on CPU/GPU

Education Requirements

Required: Master's, Computer Engineering and/or Computer Science and/or Electrical Engineering

Preferred: Doctorate, Computer Engineering and/or Computer Science and/or Electrical Engineering

EEO employer: including race, gender, gender identity, sexual orientation, disability & veterans status.