Staff ML Engineer: Automotive Cybersecurity & AI Automation

Qualcomm; San Diego (CA); On-site; USD 158,000 - 238,000; Full time

Job summary

Qualcomm Technologies, Inc. in San Diego seeks a Staff Machine Learning Engineer to drive AI/ML-based automation across Automotive SoC Cybersecurity and Safety engineering, improving productivity and automation across the full product development lifecycle.

The ideal candidate will contribute across problem spaces—from AI-assisted engineering tools to hardware security and silicon verification—aligning with ISO/SAE 21434 / ISO 26262, working with cross-functional teams across cybersecurity,

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware/Software/Systems Engineering experience.
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of related work experience.
• PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of related work experience.

Responsibilities

• Design and develop AI/ML-based automation solutions for cybersecurity and functional safety engineering workflows.
• Build intelligent systems for document understanding, review automation, and engineering productivity.
• Develop and deploy solutions leveraging LLMs, GenAI, and agentic AI frameworks.
• Contribute to knowledge automation platforms that support cross-project reuse and decision support.
• Build scalable, end-to-end automation pipelines spanning multiple engineering domains.
• Apply AI/ML to security analysis, compliance monitoring, and process optimization.
• Support development of future capabilities in hardware security analysis, verification automation, and AI-assisted design workflows.
• Collaborate with cross-functional teams across cybersecurity, functional safety, systems, software, design, and verification.

Skills

Machine Learning

GenAI / LLMs

Python

C++

Production ML pipelines

Knowledge systems / RAG

AI-driven automation

Automation tools

Hardware cybersecurity

Education

Bachelor's degree in CS/Engineering/IS

Master's degree in CS/Engineering/IS

PhD in CS/Engineering/IS

Tools

Python

C++

Job description

Qualcomm Technologies, Inc. in San Diego seeks a Staff Machine Learning Engineer to drive AI/ML-based automation across Automotive SoC Cybersecurity and Safety engineering, improving productivity and automation across the full product development lifecycle.

The ideal candidate will contribute across problem spaces—from AI-assisted engineering tools to hardware security and silicon verification—aligning with ISO/SAE 21434 / ISO 26262, working with cross-functional teams across cybersecurity,