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

Work Rights

Eligible for U.S. export authorizations

Tailored Resume

Cover Letter