Altera · 1 week ago
Director of AI Engineering for Manufacturing/Quality
San Jose, CA
Full-time
Onsite
Director/Executive
12+ years expAltera is a global leader in FPGA and programmable logic solutions, and they are seeking a Director of AI Engineering for Manufacturing & Quality. In this role, you will lead a global team to develop and deploy AI solutions that enhance manufacturing yield, quality assurance, and operational productivity across various manufacturing processes.
Enterprise SoftwareManufacturingSemiconductorSoftware
Responsibilities
Define the vision and roadmap for AI/ML initiatives across manufacturing and quality domains (fab, packaging, test, OSAT, final product)
Build and lead a global team of data scientists, ML engineers, software engineers and manufacturing/quality-domain experts to deliver end-to-end AI solutions
Architect infrastructure and platforms for large-scale data ingestion, real-time analytics, predictive models, root-cause diagnostics, anomaly detection, visual inspection, and process optimization
Collaborate with manufacturing operations, packaging/test engineering, OSAT partners, quality assurance, reliability engineering, and supply chain teams to identify high-value use-cases (yield improvement, defect reduction, cycle time reduction, scrap minimization, predictive maintenance)
Oversee the design and deployment of machine learning models, computer vision systems (for visual inspection), advanced statistical analytics, digital twins, and process simulation, with the goal of converting data insights into action
Drive integration of AI solutions into manufacturing lines and quality systems: pilot to scale to sustain, ensuring interoperability, monitoring, MLOps practices, model governance, data integrity, and business value realization
Establish KPIs and dashboards to monitor performance of AI/ML solutions: yield lift, defect rate reduction, on-time release, cost per unit reduction, quality escapes, cycle-time improvements. Provide regular executive updates on progress, ROI, and strategic alignment
Build cross-functional partnerships with IT/data platform teams, manufacturing automation/industry 4.0 initiatives, supply chain analytics, and product engineering to ensure data architecture, tooling, and governance are aligned to AI strategy
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
Manage budget, resource allocation, vendor/consulting relationships, and staffing for the AI engineering organization
Cultivate a culture of innovation, experimentation, and continuous improvement: lead capability building, mentorship, and alignment of team goals with organizational objectives
Qualification
Required
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, with at least 5 years in a leadership or director-level role
Demonstrated success developing and deploying AI/ML solutions at scale: predictive maintenance, visual inspection, yield optimization, defect reduction, or manufacturing productivity improvements
Strong technical hands-on background: data science, ML model development, MLOps, computer vision, sensor data, edge computing, big data platforms
Deep understanding of manufacturing operations, quality systems, semiconductor backend/OSAT flows, yield/yield-risk metrics, process control, automation, statistical process control
Excellent strategic thinking, cross-functional leadership and business acumen: ability to translate manufacturing/quality problems into AI solutions, measure business value and drive change
Excellent communication and stakeholder management skills: able to present to senior leadership, influence technical and business partners, and lead a global team
Preferred
Experience in semiconductor manufacturing or packaging/test environments (fab, OSAT, test floor, quality escapes)
Familiarity with FPGA or programmable logic device manufacturing flows, high-volume manufacturing, multi-site operations, supply chain constraints and quality challenges
Experience with Industry 4.0 initiatives, smart factory, IoT sensor networks, digital twins, edge AI deployments
Knowledge of cloud and on-premise data architectures, big data tools (Hadoop/Spark), ML platforms (TensorFlow, PyTorch), MLOps frameworks, and data governance
Experience managing vendor/consulting engagements, AI tool evaluation & procurement, and building enterprise-grade AI platforms
Prior experience scaling global engineering teams, driving culture change, and embedding analytics capability into manufacturing/quality functions
Company
Altera
Altera provides programmable logic devices and design software for various applications. It is a sub-organization of Intel.
1001-5000 employees
H1B Sponsorship
Altera has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (67)
Funding
Current Stage
Public CompanyTotal Funding
unknown2025-04-14Acquired
1988-03-31IPO
Leadership Team
Raghib Hussain
Chief Executive Officer
Recent News
Business Wire
2025-11-25
2025-11-19
Company data provided by crunchbase