Staff Machine Learning Engineer – Automotive Cybersecurity
ExpiredSan DiegoLast seen 29 days ago
Summary
Qualcomm seeks a Staff Machine Learning Engineer to design and deploy AI/ML-based automation solutions for automotive cybersecurity and functional safety engineering workflows. The role involves building intelligent systems for document understanding, compliance automation, and engineering productivity, leveraging LLMs, GenAI, and agentic AI frameworks. You will develop scalable end-to-end automation pipelines, contribute to knowledge systems and RAG platforms, and apply ML to security analysis and process optimization across the full product development lifecycle. The ideal candidate has 5+ years of ML/AI experience, strong programming skills in Python or C++, and familiarity with automotive cybersecurity standards such as ISO/SAE 21434.
CybersecurityData ScienceC++JavaMachine LearningPythonAgentic AIArtificial IntelligenceAutomotive CybersecurityDesign VerificationFunctional SafetyGenerative AIHardware SecurityInference SystemsIso 26262Iso Sae 21434Knowledge SystemsLlmsML PipelinesModel TrainingRAG Retrieval Augmented GenerationRetrieval Augmented GenerationRtl DesignSemantic SearchSilicon ValidationUnece Wp 29Workflow Orchestration