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.
Responsibilities
- 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.
Required Skills
- 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)