JobsSr. Staff, Engineer
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Sr. Staff, Engineer

Qualcomm

Location

San Diego, CA

Type

Full-time

Posted

6/11/2026

Compensation

$178,400 - $267,600 per year

Undergraduate with 5+ Years of Experience
Approval 97.1%·Filings 1,170·New hires 255·
Established Sponsor
·FY 2025

Job description

As a Machine Learning Engineer at Qualcomm, you will be at the forefront of technology innovation, creating and implementing machine learning techniques and tools. You will work collaboratively with cross-functional teams to enhance mobile, edge, auto, and IoT products through advanced machine learning solutions. This role requires a strong background in hardware and software engineering, as well as experience in developing optimized software for AI models. Your contributions will significantly impact the development of next-generation experiences and digital transformation.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of relevant work experience, or a Master's degree with 5+ years, or a PhD with 4+ years.
  • 5+ years of experience with Machine Learning frameworks such as TensorFlow, Caffe, Caffe2, PyTorch, or Keras.
  • 5+ years of experience with low-level interactions between operating systems and hardware.
  • 5+ years of experience in embedded system development and optimization related to machine learning.
  • 5+ years of experience with programming languages suitable for machine learning, such as Python, R, C, or C++.
  • 5+ years of experience using statistics and probability.
  • 3+ years of experience working in a large matrixed organization.
  • 2+ years of experience in a role requiring interaction with senior leadership.
  • 1+ year in a technical leadership role.
  • Developed 1+ novel Machine Learning architecture.

Responsibilities

  • Leverage advanced Machine Learning knowledge to enhance training or runtime frameworks and model efficiency software tools.
  • Model, architect, and develop advanced machine learning hardware co-designed with software for inference or training solutions.
  • Develop optimized software to enable AI models on hardware, collaborating with hardware teams for joint design.
  • Lead the development and application of machine learning techniques into products and AI solutions.
  • Develop, adapt, or prototype novel machine learning solutions aligned with complex product proposals.
  • Oversee and provide technical expertise to others conducting experiments to train and evaluate machine learning solutions.

Benefits

  • Qualcomm offers competitive compensation, annual bonuses, stock programs, comprehensive healthcare coverage, retirement plans, wellness programs, parental leave, flexible work options, and professional development opportunities.

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