Director Of Ai Engineering For Manufacturing/quality
Altera Digital Health
San Jose, California, United States
$200.4k - $290.1k usd; not specified; not specifie...
Ai/ml solutions
Manufacturing yield
Process reliability
Lead a global team responsible for architecture, development, deployment and scaling of artificial intelligence, machine learning and analytics solutions that enhance manufacturing yield, process reliability, quality assurance and operational productivity
Job Summary
Lead a global team responsible for architecture, development, deployment and scaling of artificial intelligence, machine learning and analytics solutions that enhance manufacturing yield, process reliability, quality assurance and operational productivity.
Collaborate with manufacturing, quality, supply chain, data/IT, and product engineering teams to build and integrate data-driven solutions across wafer fab, packaging/test, OSAT supply chain and final product delivery.
Identify, evaluate and deploy emerging technologies (edge AI, computer vision, deep learning, reinforcement learning, digital twin, IoT sensor fusion) to maintain competitive advantage and manufacturing leadership.
Matching Summary
Lead a global team responsible for architecture, development, deployment and scaling of artificial intelligence, machine learning and analytics solutions that enhance manufacturing yield, process reliability, quality assurance and operational productivity.
Salary
$200.4K - $290.1K USD; Not specified; Not specified
Skills & Requirements
Must-have
AI/ML solutions
manufacturing yield
process reliability
quality assurance
operational productivity
data-driven solutions
predictive models
Nice-to-have
innovation and experimentation
continuous improvement culture
mentorship and capability building
strategic alignment
Key Requirements
Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, Manufacturing Engineering, or a related field
12+ years of experience in advanced analytics, machine learning, AI engineering or software engineering within manufacturing, quality, or semiconductor industry environments
at least 5 years in a leadership or director-level role
Demonstrated success developing and deploying AI/ML solutions at scale
Strong technical hands-on background
Deep understanding of manufacturing operations, quality systems, semiconductor backend/OSAT flows
Excellent strategic thinking, cross-functional leadership and business acumen
Excellent communication and stakeholder management skills