About the job
As a leading technology innovator, Qualcomm pushes the boundaries of what's 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. In this position you will be responsible for the software design and development of a Pipeline AI for preparing and executing AI models on Qualcomm products for Mobile, Compute, Automotive, IOT, and XR products. You will participate in the agentic transformation of Qualcomm’s development and tooling workflows. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills.
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. The future is agentic!
Work independently and lead junior team members. Your decision-making will impact your direct area of work and the work group.
Qualifications
Minimum
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR
PhD in Computer Science, Engineering, Information Systems, or related field.
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, etc.)
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, TensorFlow, ONNX, JAX
Preferred
2+ years Python programming experience building production-quality tooling or pipelines
Experience with CI/CD systems and pipeline orchestration tools (e.g. GitHub 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