JobsSr Engineer, Machine Learning (On-device Learning SW)
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Sr Engineer, Machine Learning (On-device Learning SW)

Qualcomm

Location

San Diego, CA

Type

Full-time

Posted

6/11/2026

Compensation

$140,800 - $211,200 per year

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

Job description

Qualcomm AI Research is seeking talented AI software engineers to develop AI technologies for edge devices. The role involves working within a high-caliber team focused on building advanced generative AI solutions and optimizing models for deployment on Qualcomm's AI accelerator engines. Engineers will collaborate across hardware, software, and systems to implement innovative AI applications in various intelligent devices. This position offers the opportunity to contribute to groundbreaking projects in the field of machine learning and artificial intelligence.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field and 2+ years of relevant work experience, or a Master's degree with 1+ year of experience, or a PhD in a related field.
  • At least 3 years of work experience in a relevant field is preferred.
  • Excellent programming skills in C/C++ and Python are required.
  • Knowledge of deep learning and machine learning frameworks such as PyTorch is necessary.
  • Strong software design, development, and debugging skills are essential.

Responsibilities

  • Develop end-to-end embedded AI software to train and finetune neural network models on Qualcomm hardware.
  • Design and enhance the implementation of the ML/AI software stack, kernels, and runtime software.
  • Collaborate with the AI Processor Hardware team to implement solutions for new ML operators and layers.
  • Develop debugging and profiling tools, as well as user-friendly SDKs for customer use.

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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