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Sr Software Engineer, AI Tools – Python Pipeline

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Qualcomm
Full Time position
Listed on 2026-05-31
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Software Engineer, Python
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Company

Qualcomm Technologies, Inc.

Location

San Diego, CA and Raleigh, NC

Overview

A leading technology innovator, Qualcomm pushes the boundaries of what is possible to enable next‑generation AI experiences and drive agentic transformation, creating a smarter, connected future for all. As a Qualcomm Machine Learning Engineer you will develop and implement cutting‑edge tools and solutions to enable state‑of‑the‑art AI solutions across various technology verticals. The role focuses on software design, development, and maintenance of a Pipeline AI for preparing and executing AI models on Qualcomm products for Mobile, Compute, Automotive, IOT, and XR products, and on contributing to the company’s transformation of engineering processes.

Responsibilities
  • Design, develop, and maintain Python-based pipeline tooling that supports AI model ingestion, transformation, quantization, execution, and validation.
  • Collaborate with cross‑functional teams within the AI Software team and across AI Research and Qualcomm Business Units.
  • Validate and optimize the performance and correctness of pipeline software through detailed analysis and testing of machine learning use cases.
  • Develop a deep knowledge of AI model tools and workflows. Participate in design and code reviews.
  • Debug complex issues, perform root cause analysis, and ensure high system reliability.
  • Contribute to the team’s adoption of agentic AI workflows – leveraging tools such as Claude code – to build skills, automate, and improve development, testing, and pipeline orchestration activities.
  • Work independently and lead junior team members. Your decision‑making will impact your direct area of work and the work group.
Minimum Qualifications
  • Bachelor's degree or equivalent in Engineering, Information Systems, Computer Science, or related field.
  • 4+ years software development experience using Python and/or C/C++.
  • Strong software development skills (e.g., data structure and algorithm design, object‑oriented or other software design paradigm knowledge, software debugging and testing).
  • Strong communication skills (verbal, presentation, written).
  • Foundational knowledge of Machine Learning and Deep Learning.
  • Experience working with one of the Deep Learning frameworks like PyTorch, Tensor Flow, ONNX, or JAX.
  • Strong desire to learn, contribute, and collaborate.
Preferred Qualifications
  • 2+ years Python programming experience building production‑quality tooling or pipelines.
  • Experience with CI/CD systems and pipeline orchestration tools (e.g., Git Hub Actions, Jenkins, Airflow).
  • Familiarity with GenAI model architectures – LLM, LVM, LMM.
  • Experience with optimizing software, specifically AI graph workloads, for embedded platforms.
  • Familiarity with agentic AI frameworks (e.g., Claude Code) and experience applying them to automate code development.
  • Ability to collaborate across a globally diverse team and multiple interests.
Education Requirements
  • Required:

    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
  • Preferred:
    Master’s in Computer Science or Computer Engineering.
Pay Range and Benefits

$ – $. The salary reflects the broad, minimum to maximum pay scale for this role. In addition to base pay, a competitive annual discretionary bonus program and opportunities for annual RSU grants are provided. Detailed benefits information is available on the U.S. benefits page.

EEO Statement

Qualcomm is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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