JobsSr Software Engineer, AI Tools – Python Pipeline
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Sr Software Engineer, AI Tools – Python Pipeline

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

As a Qualcomm Machine Learning Engineer, you will develop and implement advanced tools and solutions for state-of-the-art AI applications across various technology sectors. This role focuses on the software design and development of a Pipeline AI for Qualcomm products, including Mobile, Compute, Automotive, IOT, and XR. You will work closely with cross-functional teams to enhance Qualcomm's development workflows and contribute to the company's agentic transformation. This position is available in both San Diego, CA and Raleigh, NC.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of relevant work experience, or a Master's degree with 1+ year of experience, or a PhD.
  • 4+ years of software development experience using Python and/or C/C++.
  • Strong software development skills including data structure and algorithm design.
  • Foundational knowledge of Machine Learning and Deep Learning.
  • Experience with one of the Deep Learning frameworks like PyTorch, TensorFlow, ONNX, or JAX.

Responsibilities

  • Design, develop, and maintain Python-based pipeline tooling for AI model processing.
  • Collaborate with cross-functional teams within the AI Software team and across Qualcomm Business Units.
  • Validate and optimize the performance and correctness of pipeline software through detailed analysis.
  • Participate in design and code reviews to ensure high-quality software.
  • Debug complex issues and perform root cause analysis to maintain system reliability.

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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