Staff Machine Learning Engineer, Automotive Cybersecurity

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.

• 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)