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Employer: Analog Devices, Inc.

Job Title: Senior Manager, Data & Analytics

Job Requisition: R255434

Job Location: San Jose, California

Job Type: Full Time

Rate of Pay: $275,850.00 - $293,250.00 per year

Duties:

• Manage, lead, and mentor a team of data engineers, AI/Machine Learning experts, and semiconductor data scientists.
• Define, and execute the technical strategy for AI-driven yield optimization, defect detection, and semiconductor process automation.
• Collaborate with business leaders, chip designers, and manufacturing engineers to drive innovation using data and AI.
• Architect and oversee big data pipelines and real-time analytics frameworks to process semiconductor manufacturing data.
• Develop AI/ML models for predictive maintenance, defect classification, and process optimization. Apply mathematical modeling, machine learning, and optimization techniques to develop AI-driven solutions for semiconductor supply chain management, inventory optimization, and financial forecasting.
• Develop product pricing algorithms and strategies, establishing both immediate and strategic projects to unlock valuable insights from data. Implement advanced statistical and artificial intelligence methods to enable enterprise-wide data-driven decision-making across various domains, including financial processes, pricing, supply chain management, inventory management, engineering systems, human resources, and business risk assessment.

Partial telecommute benefit (2 days/week work from home).

Requirements:

Must have a Bachelor’s degree in Electronics and Communication Engineering or closely related field (willing to accept foreign education equivalent) and five (5) years of experience in job offered or closely related occupation developing AI-driven automation and optimizing semiconductor manufacturing using data engineering analytics.

Must also possess the following (quantitative experience requirements not applicable to this section):

• Demonstrated Expertise (DE) using big data frameworks (Hadoop, Spark, and Databricks), AI/ML platforms (TensorFlow, PyTorch, and Scikit-learn), and cloud technologies (Azure, GCP, or AWS) to drive data-driven insights and innovation in semiconductor analytics;
• Demonstrated knowledge in semiconductor manufacturing, wafer processing, chip design, and embedded computing, enabling optimization of production processes and performance enhancements;
• DE in SQL, NoSQL, Python, R, MATLAB, and real-time streaming technologies like Kafka and Flink to develop scalable data solutions and real-time analytics for semiconductor applications;
• DE leveraging cloud platforms (GCP, Azure, or AWS), Snowflake, DBT, big data tools (Hadoop, Spark, and Kafka), and AI frameworks (TensorFlow, PyTorch, and Scikit-learn) to optimize semiconductor analytics; and
• DE researching and implementing advanced AI/ML methodologies to enhance semiconductor yield, wafer defect analysis, and chip performance prediction.

Contact: Eligible for employee referral program. Apply online at

https://www.analog.com/en/about-adi/careers.html

and Reference Position Number: R255434.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law:

Notice of Applicant Rights Under the Law

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Job Req Type: Experienced
Required Travel: No
Shift Type: 1st Shift/Days

• Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
• This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
• This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.