Overview

Job Description:

**Job Id** E1961251

**Job Title** Machine Learning Engineer (Computational Photography)

**Post Date** 02/13/2018

**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** Job Overview Our goal:

To design practical computational imaging algorithms that drive new camera features

To bring these algorithms to life by proto-typing them and then implementing them on Snapdragon

To improve algorithms in the camera pipeline and finding new way of doing old things that improves performance

Take advantage of machine learning techniques and CNN

Here is a list of some of the algorithms that we have developed and commercialized:

https://goo.gl/C2nZqn

https://goo.gl/n1Mot4

https://goo.gl/nvwPhl

https://www.qualcomm.com/node/32729

This link is internal to QC :

https://confluence.qualcomm.com/confluence/display/COMP/Computational%20Photography

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

**Minimum Qualifications** Qualifications 2 + yrs. experience in following areas:

Machine learning techniques and tools (e.g., Keras, Tensorflow, Pytorch)

Optimization techniques, linear algebra, calculus, and statistics

C++ programming

Computer vision and image processing

**Preferred Qualifications** Experience in the following areas:

Software optimization techniques for memory, runtime, and power

Android NDK / SDK

OpenCV / OpenGL

Git

**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.**

About Qualcomm

Who is Qualcomm, and what do we do? We are engineers, scientists and business strategists. We are from many different countries and speak many different languages. We come from diverse cultures and have unique perspectives. Together, we focus on a single goal—invent mobile technology breakthroughs.