Careers
Quick summary
- Work type
- On-site
- Location
- San Diego, CA
- Posted
- 8 days ago
- Closes
- Nov 25, 2026
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $152,037–$208,800.
Based on 238 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 558 open roles on FindRole.
Listed pay typically runs $154,000–$231,000 across 401 roles with salary data.
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At a glance
TL;DR · Careers
Join our core AI team at Qualcomm Technologies as a senior Machine Learning Engineer specializing in Generative AI, where you will design and implement cutting-edge solutions focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent agent systems. Your daily tasks include enhancing LLM capabilities with external knowledge sources through RAG-based designs, developing fine-tuning strategies for specific use cases, creating robust evaluation frameworks, and building agentic workflows. You will work closely with cross-functional teams to identify opportunities and deploy AI solutions. The role requires strong programming skills in Python, experience with ML frameworks like PyTorch and TensorFlow, familiarity with vector databases, and knowledge of modern cloud platforms such as AWS, GCP, or Azure. Preferred qualifications include expertise in LLM frameworks, prompt engineering, containerization, reinforcement learning, and contributions to open-source AI projects.
Skills
What you'll do
- Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge.
- Develop and optimize fine-tuning strategies for Large Language Models in specific use cases.
- Create robust evaluation frameworks to measure and improve model performance continuously.
- Build agentic workflows for autonomous AI systems to enable intelligent decision-making.
- Utilize vector databases and embedding models to support efficient data retrieval and processing.
What we're looking for
- Bachelor's or Master's degree in Computer Science or related field.
- 3+ years of experience in Machine Learning/AI engineering.
- Strong Python programming skills and experience with ML frameworks like PyTorch and TensorFlow.
- Practical experience with LLM deployments, fine-tuning, and vector databases.
- Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure).
- Strong understanding of RAG architectures and implementation.
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