Staff Machine Learning Engineer to drive AI/ML-based automation across Qualcomm's Automotive SoC Cybersecurity and Safety engineering. The role focuses on building intelligent, scalable solutions using LLMs, GenAI, and agentic AI systems to streamline cybersecurity workflows, functional safety processes, and silicon verification.… Responsibilities include designing end-to-end ML pipelines, developing document-understanding and review-automation systems, and applying AI to security analysis and compliance monitoring across the product development lifecycle. Required: strong ML/AI background, Python or C++ proficiency, production ML experience; preferred: knowledge of automotive standards (ISO/SAE 21434, ISO 26262), hardware security, or RTL/verification workflows.
hardware-security jobs in San Diego
Senior Staff Security Engineer responsible for developing hardware and software security features, conducting advanced security assessments and vulnerability analysis, and designing security architectures for Qualcomm products. The role requires deep security expertise to identify design and implementation vulnerabilities, lead cross-organizational teams on security adoption, and ensure product security throughout the lifecycle.… Requires a bachelor's degree in Engineering or Computer Science with 6+ years of security engineering experience (or equivalent with advanced degree), plus proficiency in programming languages like C, C++, Java, or Python.
Senior Staff Security Engineer responsible for developing and implementing hardware and software security features across Qualcomm products. Performs advanced security assessments, vulnerability and threat analysis, and develops critical security architectures while leading cross-organizational teams.… Requires 6+ years of security engineering experience with a bachelor's degree in engineering or computer science (or equivalent with advanced degree), and proficiency in programming languages such as C, C++, Java, or Python.
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.