Staff Machine Learning Engineer – Automotive Cybersecurity
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Software Engineering
In short
Qualcomm is looking for a Staff Machine Learning Engineer to enhance Automotive SoC Cybersecurity and Safety through AI/ML automation. This role involves developing intelligent systems for productivity, streamlining workflows, and contributing to hardware security and design automation, aligning with automotive standards like ISO/SAE 21434.
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-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.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- Strong background in Machine Learning and Artificial Intelligence.
- Experience with LLMs, GenAI, and agentic AI systems or intelligent automation frameworks.
- Strong programming skills in Python, C++, or similar languages, with solid software engineering fundamentals.
- Experience building scalable, production-quality ML pipelines, model training workflows, or inference systems.
- Experience with knowledge systems, semantic search, retrieval-augmented generation (RAG), or workflow orchestration platforms.
Desired Qualifications
- Master's or PhD degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related technical field.
- 5+ years of experience in machine learning, artificial intelligence, software engineering, or applied intelligent systems.
- 4+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
- Experience designing, developing, and deploying ML or AI-based solutions in production or engineering environments.
- Experience with agentic AI systems, multi-agent orchestration frameworks, or autonomous workflow automation.
- Familiarity with automotive cybersecurity or functional safety standards such as ISO/SAE 21434, ISO 26262, or UNECE WP.29.
- Exposure to hardware security concepts, RTL design, design verification, or silicon validation workflows.
- Experience developing AI-assisted tools for compliance, audit, or regulatory process automation.
- Demonstrated experience leading cross-functional technical initiatives or contributing to platform-level AI/ML solutions.
Benefits
- Competitive annual discretionary bonus program.
- Opportunity for annual RSU grants.
- Highly competitive benefits package designed to support your success at work, at home, and at play.
#AI#Machine Learning#Automotive#Cybersecurity#Safety#SoC#LLM#GenAI#Automation#Semiconductor
Company
Qualcomm
Job Posted
3 days ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Senior
Locations
San Diego, United States of America
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant