Staff Machine Learning Engineer – Automotive Cybersecurity
Core
Build AI/ML-based automation solutions for automotive SoC cybersecurity and functional safety engineering workflows, focusing on intelligent systems for document understanding, compliance monitoring, and process optimization.
Role type
Staff Machine Learning Engineer (Automotive Cybersecurity)
Builds
Scalable, production-quality ML pipelines, agentic AI frameworks, and knowledge automation platforms for engineering productivity.
Domain
Automotive semiconductor engineering, cybersecurity, functional safety
Deliverable
production ML models
Required skills
Machine Learning, Artificial Intelligence, LLMs, GenAI, agentic AI systems, Python, C++, scalable ML pipelines, knowledge systems, semantic search, RAG, workflow orchestration
Preferred skills
Automotive cybersecurity standards (ISO/SAE 21434, ISO 26262), hardware security concepts, RTL design, silicon validation, multi-agent orchestration, AI-assisted compliance tools
Technologies
LLMs, GenAI, agentic AI frameworks, Python, C++, RAG, workflow orchestration platforms
Responsibilities
Design and develop AI/ML-based automation solutions for cybersecurity and functional safety workflows; Build intelligent systems for document understanding and review automation; Develop and deploy solutions leveraging LLMs and agentic AI frameworks; Contribute to knowledge automation platforms; Build scalable, end-to-end automation pipelines; Apply AI/ML to security analysis and compliance monitoring.
Seniority
Staff, hands-on IC with strategic influence
