Altera · 7 hours ago
AI Engineer for Manufacturing/Quality
San Jose, CA
Full-time
Onsite
Senior Level, Lead/Staff
10+ years expAltera is a global leader in FPGA and programmable semiconductor technology, seeking an AI Engineer for Manufacturing & Quality to enhance their operations. The role involves designing, developing, and deploying AI and machine learning solutions to improve manufacturing yield, product quality, and operational efficiency.
Enterprise SoftwareManufacturingSemiconductorSoftware
Responsibilities
Develop machine learning and advanced analytics models for yield optimization, defect prediction, anomaly detection, and quality improvement across semiconductor manufacturing processes
Build and scale computer vision systems for automated visual inspection, defect classification, and inline quality controls
Work closely with process engineers, test engineers, and quality teams to identify, analyze, and prioritize high-impact use cases for AI applications
Perform advanced statistical analysis and data mining to uncover trends, correlations, and root-cause signals in complex manufacturing datasets
Deploy and integrate AI/ML solutions into production environments following MLOps best practices, ensuring model robustness, observability, versioning, and sustainment
Partner with IT/data platform teams to implement clean data pipelines, sensor data integration, and real-time analytics capabilities
Build dashboards and KPIs to monitor deployed AI solutions and quantify business impact (yield lift, cycle-time reduction, scrap reduction, cost savings)
Conduct continuous model improvement and retraining cycles to maintain model accuracy and adaptability to process and product changes
Document models, workflows, data sources, and technical decisions for traceability and engineering rigor
Remain current with emerging AI technologies, quality methodologies, and semiconductor manufacturing trends to propose innovation opportunities
Qualification
Required
Bachelor's degree in Computer Science, Data Science, Electrical Engineering, Manufacturing Engineering, or related field; Master's preferred
10+ years of industry experience in data science, machine learning, or advanced analytics, ideally in semiconductor manufacturing, test, or quality domains
Proven hands-on experience developing and deploying machine learning solutions into production environments
Proficiency in: ML frameworks (TensorFlow, PyTorch, Scikit-learn), Data engineering and big-data systems (Spark, Kafka, SQL/NoSQL), Statistical modeling, anomaly detection, SPC, predictive modeling, and root-cause analysis, Python programming and industrial data processing
Experience working with manufacturing data types: fab or OSAT process data, test data, inline sensor data, equipment telemetry, quality metrics
Strong capability translating engineering challenges into data-driven models with measurable results
Excellent problem-solving, communication, and stakeholder-collaboration skills
Preferred
Semiconductor backend and test engineering experience (OSAT flow, yield loss mechanisms, parametric data analysis)
Computer vision experience in manufacturing environments (deep learning-based inspection, AOI systems)
Familiarity with MLOps, model governance, and deployment tools (Docker, Kubernetes, CI/CD)
Working knowledge of Industry 4.0 smart manufacturing concepts, digital twins, and IoT data platforms
Experience with FPGA manufacturing, reliability controls, and high-volume product ramps
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