Qualcomm

Machine Learning Engineer, AI Processors

Qualcomm
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2 days ago
Markham, CanadaEntry Level

Base Salary

$105k - $155k/yr

Responsibilities

  • Stay current with advances in artificial intelligence, machine learning, and foundation models.
  • Research, develop, and optimize AI algorithms for deployment on Qualcomm Snapdragon platforms.
  • Design and build reference applications demonstrating Snapdragon AI capabilities across mobile, edge, XR, and IoT devices.
  • Evaluate hardware-software trade-offs to optimize performance, power efficiency, and user experience.
  • Support implementation, optimization, and commercialization of AI algorithms and applications on Snapdragon devices.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
  • Strong background in machine learning algorithms, computer vision, multimodal AI, agentic AI, or related fields.
  • Proficiency with machine learning frameworks such as PyTorch or TensorFlow.
  • Strong software development skills in Python and/or C++.
  • Familiarity with embedded development, operating systems concepts, and software development principles.
  • Master’s or PhD with 1+ years of relevant work experience or publications is preferred.
  • Experience deploying AI solutions in real-world applications and translating algorithms into software for edge devices is preferred.

Benefits

  • Competitive benefits package designed to support employees at work, at home, and at play.

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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