Machine Learning System Software Engineer

  • Company:
    Qualcomm
  • Location:
  • Salary:
    negotiable / month
  • Job type:
    Full-Time
  • Posted:
    5 months ago
  • Category:
    General

Job Description:

**Job Id**

E1978279

Job Title

Machine Learning System Software Engineer

Post Date

11/06/2019

Company

Qualcomm Technologies, Inc. at http://www.qualcomm.com/about/businesses/qct

Job Area

Engineering – Software

Location

Canada – Markham

Job Overview

Artificial Intelligence is changing the world for the benefits of human beings and societies.

QUALCOMM, as the world’s leading mobile computing platform provider, is committed to deliver power-efficient cognitive computing technologies for enabling the wide deployment of intelligent solutions on all possible devices. You will be involved and participate in various development phases of the state-of-the-art technologies for next generation machine learning system.

This role will involve working at all layers of the software stack, from the Android Framework to the low level hardware controls. Responsibilities will include the design and development of new features, support for new hardware, debugging of issues and development of test cases.

“New graduates are welcomed”.

Minimum Qualifications

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

Preferred Qualifications

Plus: Master degree in Engineering, Information Systems, Computer Science, or related field

C/C++ programming language

Debugging for embedded environments

Machine learning or computer vision

DSP programming

Good understanding of computer architecture and operating systems.

Familiarity with Qualcomm DSP.

Hardware driver development experience.

Education Requirements

Required: Bachelor’s, 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.