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AI/Machine Learning Research Engineer (ML System, Inference Efficiency), Senior/Staff Engineer Levels

Date Posted: Jun 23, 2026
Yearly: C$ - C$
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Job Detail

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    Location Markham, Canada
  • desktop_windows
    Job Type: Permanent
  • schedule
    Shift:
  • analytics
    Career Level:
  • group
    Positions:
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    Experience:
  • male
    Gender: No Preference
  • school
    Degree:
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    Apply Before: Sep 21, 2026
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Job Description

Overview

As a Senior/Staff Engineer in Qualcomm's Low Power AI Solution team, you will focus on advanced research in model efficiency and optimization for ML systems, specifically related to on-device inference. Your role involves leading impactful research, collaborating across global teams, and developing systems that enhance Qualcomm's AI accelerator capabilities.

Key responsibilities

  • Conduct cutting-edge research in inference efficiency and ML system optimization
  • Prototype and develop system solutions with software-hardware co-design
  • Collaborate with modeling, compiler, and hardware teams for AI solutions
  • Influence future accelerator features and model deployment
  • Contribute to strategic initiatives in efficient AI and embedded intelligence

Required skills

  • Deep expertise in neural network architectures and model compression techniques
  • Strong background in compiler stack and ML system optimization for AI accelerators
  • Understanding of Machine Learning fundamentals
  • Programming skills with ML frameworks
  • Hands-on experience with model development pipelines for AI accelerators

What the company offers

  • Competitive annual discretionary bonus program
  • Opportunity for annual RSU grants
  • Highly competitive benefits package designed to support employee success

Skills Required

Company Overview

Qualcomm
Markham, Canada
4 Current Jobs Openings

Qualcomm is a global leader in technology innovation, providing high-performance solutions for mobile devices and communication technologies. Its focus on engineering excellence and cutting-edge developments in areas like machine learning and embedde... Read More

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