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# Staff Machine Learning Engineer, Automotive Cybersecurity

- **Company:** Qualcomm
- **Location:** San Diego, CA, United States
- **Salary:** $160,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Computer-Aided Design, Artificial Intelligence, Decision Support Systems, Information Extraction, Python (Programming Language), Knowledge-Based Systems, Machine Learning, Automation of Marketing, Search Technologies, Large Language Models, Generative AI, Agentic-AI, Machine Learning Operations
- **Published:** November 3, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3046818558-2

## About the Role

* Machine learning
 * Artificial intelligence
 * Large language models (LLMs)
 * Generative AIAgentic AI frameworks
 * Python
 * C++Production ML pipelines
 * Model training and inference systems
 * Knowledge systems, semantic search, and retrieval-augmented generation (RAG)

## Description

Qualcomm seeks a Staff Machine Learning Engineer to build and deploy AI/ML automation for automotive cybersecurity and functional safety engineering. You will develop LLM-powered tools, scalable ML pipelines, document review and compliance workflows, and knowledge systems across the semiconductor product lifecycle, collaborating with cross-functional engineering teams., * Design AI/ML automation solutions for cybersecurity and functional safety workflows.

 * Build intelligent systems for document understanding, review automation, and engineering productivity.
 * Develop and deploy solutions using LLMs, generative AI, and agentic AI frameworks.
 * Create knowledge automation platforms for cross-project reuse and decision support.
 * Build scalable end-to-end automation pipelines across engineering domains.
 * Apply AI/ML to security analysis, compliance monitoring, and process optimization.