General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.
Minimum Qualifications:
We are seeking an experienced Machine Learning Engineers specializing in Generative AI to join our core AI team.
The ideal candidate will be responsible for designing, developing, and deploying cutting-edge generative AI solutions, with a focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Intelligent agent systems.
Key Responsibilities:
Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources
Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation
Create robust evaluation frameworks for measuring and improving model performance
Build and maintain agentic workflows for autonomous AI systems
Collaborate with cross-functional teams to identify opportunities and implement AI solutions
Required Qualifications:
Bachelor's or Master's degree in Computer Science, or related technical field
3+ years of experience in Machine Learning/AI engineering
Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow)
Practical experience with LLM deployments and fine-tuning
Experience with vector databases and embedding models
Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure)
Strong understanding of RAG architectures and implementation
Preferred Qualifications:
Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers)
Knowledge of prompt engineering and chain-of-thought techniques
Experience with containerization and microservices architecture
Background in NLP and deep learning
Background in Reinforcement Learning
Contributions to open-source AI projects
Experience with ML ops and model deployment pipelines
Skills and Competencies:
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
Experience with agile development methodologies
Ability to balance multiple projects and priorities
Strong focus on code quality and best practices
Understanding of AI ethics and responsible AI development
Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
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If you would like more information about this role, please contact Qualcomm Careers.