Careers

Qualcomm

Quick summary

Work type
On-site
Location
San Diego, CA
Posted
9 days ago
Closes
Nov 24, 2026
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $214k
$168k most similar roles pay here $268k

This listing doesn't post a salary. Most similar roles pay $178,774–$248,375.

Based on 240 similar postings.

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About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 270 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 196 roles with salary data.

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At a glance

TL;DR · Careers

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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 generative 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 for autonomous AI systems while collaborating closely with cross-functional teams to identify opportunities and implement solutions. The role requires expertise in Python, ML frameworks like PyTorch and TensorFlow, vector databases, and cloud platforms such as AWS, GCP, or Azure, along with a strong understanding of RAG architectures. Experience with LLM frameworks, prompt engineering, containerization, and contributions to open-source AI projects is preferred.

Skills

Python PyTorch TensorFlow AWS GCP Azure LLM deployments vector databases embedding models RAG architectures Langchain LlamaIndex Transformers containerization microservices architecture Reinforcement Learning ML ops agile development methodologies

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.
  • Integrate vector databases and embedding models into AI solutions for efficient data retrieval.

What we're looking for

  • 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 like PyTorch and TensorFlow.
  • Practical experience with LLM deployments and fine-tuning strategies.
  • Experience with vector databases, embedding models, and RAG architectures.
  • Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure).
  • Strong understanding of RAG implementations and evaluation frameworks.

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