Qualcomm

FY27 Intern - Machine Learning AISW Internship - Canada (4 Months)

Qualcomm
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3 days ago
Markham, CanadaIntern

Base Salary

$55k - $103k/yr

Responsibilities

  • Build profiling and debugging software tools to accelerate deployment of neural networks.
  • Enhance AI system performance for Qualcomm hardware and software platforms.
  • Adapt state-of-the-art neural network models for customer applications.
  • Optimize algorithms for machine learning operators and layers within the Qualcomm AI software stack.
  • Maintain, enhance, and develop testing infrastructure and automation for AI/ML backend features.

Requirements

  • Be studying toward a bachelor's degree in Electrical Engineering, Computer Engineering, Engineering Science, Computer Science, or a related field.
  • Have experience with C++ or Python programming.
  • Have at least one year of academic experience with programming languages such as C, C++, or Python.
  • Expected graduation date must be November 2027 or later.
  • Preferred qualifications include proficiency in C++, Python, and machine learning frameworks.
  • Preferred qualifications include software development experience on Linux, Android, or Windows on Snapdragon.

Benefits

  • Four-month internship based in Markham, Canada, available from May or June 2027 through August or September 2027.
  • Mentorship, manager support, professional development workshops, social events, cross-functional speaker sessions, and an executive speaker series.
  • Competitive hourly pay, accrued vacation time, and a housing stipend for the internship duration.

Tech Stack

Categories

Qualcomm

About Qualcomm

10,000+ employees

Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.

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