AI/ML Research Scientist in Semiconductor Technology - Remote

Overview

This role involves advancing the integration of artificial intelligence into semiconductor research and development, focusing on developing breakthrough algorithms that accelerate innovation across the semiconductor ecosystem.

In Short

• Lead cutting-edge AI/ML research initiatives targeting semiconductor industry challenges.
• Develop novel machine learning algorithms specifically tailored to semiconductor domain problems.
• Create advanced predictive models for semiconductor design, manufacturing, and testing processes.
• Optimize machine learning frameworks for high-performance computing environments.
• Design and implement sophisticated data collection and analysis strategies.
• Guide comprehensive model validation and verification processes.
• Develop robust methodologies for AI algorithm performance assessment.
• Manage and optimize complex computing resources and computational infrastructure.
• Author high-impact technical publications in peer-reviewed journals and conferences.
• Drive strategic innovation programs within the semiconductor AI research ecosystem.

Requirements

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or closely related technical field.
• Minimum 5 years of advanced machine learning research experience.
• Demonstrated track record of innovative research and publications.
• Strong publication history in top-tier conferences and journals.
• Advanced Python programming skills.
• Comprehensive mastery of deep learning frameworks (TensorFlow, PyTorch).
• Extensive experience with large-scale dataset management and analysis.
• Advanced knowledge of cloud computing platforms and distributed computing.
• Proficiency in GPU optimization and high-performance computing techniques.
• Strong mathematical and statistical modeling capabilities.

Benefits

• Opportunity to work on groundbreaking technology in the semiconductor field.
• Collaborative work environment with interdisciplinary teams.
• Potential for career advancement in a mission-driven organization.
• Flexible working arrangements.
• Access to cutting-edge research and development resources.