Principal AI/ML Engineer, Validation Strategy & Test Architecture
Core
Design, develop, and deploy AI/ML solutions to transform firmware and hardware validation workflows, enabling data-driven decision-making and automating analysis.
Role type
Principal AI/ML Engineer (Validation Strategy & Test Architecture)
Builds
Intelligent systems for failure prediction, automated test selection, coverage optimization, and self-healing test execution for semiconductor platforms.
Domain
Semiconductor / Memory and Storage / Firmware and Hardware Validation
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Machine learning fundamentals, model evaluation, feature engineering, Python, scikit-learn, TensorFlow, PyTorch, production ML deployment, pattern recognition, predictive analytics, LLM integration, MLOps pipelines, CI/CD practices, NLP techniques
Preferred skills
Master's degree in ML/AI/Data Science, prompt engineering, predictive failure analytics, semiconductor validation domain expertise
Technologies
Python, scikit-learn, TensorFlow, PyTorch, Large Language Models (LLMs)
Responsibilities
Develop ML models for automated root cause analysis of validation failures; Build predictive analytics for failure forecasting; Design pattern-recognition algorithms for failure signatures; Implement AI-driven test selection and prioritization; Develop systems to identify test coverage gaps; Build optimization engines to reduce test runtime; Develop AI-powered test generation from requirements; Integrate LLMs into validation workflows; Partner with firmware and hardware teams to define validation needs.
Seniority
Principal, hands-on IC with strategy & mentorship
