Qualcomm Compute Architecture / Machine learning Eng. - GPU in San Diego, California
Compute Architecture / Machine learning Eng. - GPU
Qualcomm Technologies, Inc.
CDMA Technology at http://www.qualcomm.com/about/businesses/qct
Engineering - Systems
California - San Diego
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.
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
5+ years Systems Engineering or related work experience.
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
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: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.