Intel

AI Algorithm Research Intern focused on developing, implementing, and benchmarking algorithms for Intel's next-generation neuromorphic architecture to enable applications in edge computing, signal processing, and autonomous systems. The role involves contributing to Intel's neuromorphic SDK and publishing research findings.

Intern position at Intel's Neuromorphic Computing Lab focused on developing, implementing, and benchmarking algorithms for next-generation neuromorphic architectures. The role involves supporting application development, publishing research, and contributing to the neuromorphic SDK, with a focus on edge computing, signal processing, and autonomous systems.

Senior Director to lead Enterprise Data & AI Enablement, reporting to VP of AI and Data. Drives strategic roadmap for data and AI capabilities, focusing on robust data foundations for advanced AI applications. Leads cross-functional teams, collaborates with AI leadership, and influences enterprise-wide data and AI strategy. Responsibilities include defining data strategy, overseeing data ingestion and engineering, enabling AI/ML with tooling and environments, developing knowledge products, integrating structured/unstructured data, and designing data models for BI and AI workloads. Also responsible for data governance, quality, literacy, and compliance. Requires proven experience with large-scale data platforms, enterprise applications, data architecture, warehousing, lakehouse technologies, and building AI-ready data foundations. Must demonstrate ability to drive enterprise-wide data strategy, influence senior leadership, build and scale data teams, and partner with AI/ML teams. Experience in regulated industries is preferred.

This role focuses on yield analysis and improvement in advanced packaging technology and manufacturing. The engineer will extract insights from large datasets using statistical methods and machine learning techniques, develop solutions to manufacturing process problems, and influence the yield improvement roadmap. The role requires understanding the relationship between electrical and physical fails, inline defect metrology, and collaborating with various engineering teams.

The Yield Platform Analyst role at Intel focuses on driving yield improvement across advanced packaging technologies. This involves defining goals, establishing relationships between material/tool/process modulators and yield, performing statistical analysis, and extracting insights from data using machine learning and coding techniques. The candidate will develop systems to transform data into yield improvement actions and ensure manufacturability. This role requires defining roadmaps, influencing strategies, and working with cross-functional teams throughout the technology lifecycle from pathfinding to HVM ramp.

This role focuses on yield improvement in semiconductor manufacturing by applying statistical analysis, machine learning, and coding techniques to analyze big data from manufacturing processes, identify root causes of defects, and develop data-driven strategies for yield optimization. The engineer will develop systems and methodologies for data consolidation, perform statistical analysis and visualization, and transform data into actionable yield improvement strategies.

AI Software Development Engineer at Intel focused on developing content and datasets for AI-based graphics and next-generation rendering technologies like Super Resolution and Frame Generation. The role involves building scalable workflows for generating scenes, effects, and dataset content using AI tools and procedural methods, working closely with AI and graphics engineers.

Student role in a semiconductor manufacturing environment focused on data science and automation. Responsibilities include supporting daily operations, identifying and automating manual bottlenecks, and building AI-driven solutions for data analysis and predictive methodologies. Requires strong Python and SQL skills, analytical abilities, and willingness to learn manufacturing processes.

Intern role assisting Platform Validation Engineers with test case creation, automation scripting, and platform validation. The role involves developing AI solutions to improve script automation, execution, and debugging, ultimately supporting the quality of Intel Xeon products.

This role focuses on data analysis and developing AI/ML techniques for manufacturing processes within Intel Foundry. The primary responsibilities include developing data acquisition and analysis scripts, creating visualization dashboards, and exploring foundational AI/ML to improve pattern detection and automate analyses in manufacturing data. The role requires foundational understanding of AI/ML concepts and experience with data analysis tools and programming languages.

This role involves a Product Development Engineer in Intel's Manufacturing and Product Engineering (MPE) group, focusing on ensuring testability and manufacturability of integrated circuits. Key responsibilities include evaluating and debugging test programs, analyzing manufacturability issues, performing data analysis and deploying AI tools to improve test metrics, developing support software, and providing first-level debug. The role requires a Bachelor's or equivalent degree in a related engineering field and prefers proficiency in AI tools and programming languages like Python.

This role involves a Product Development Engineer in Intel's Manufacturing and Product Engineering (MPE) group, focusing on ensuring testability and manufacturability of integrated circuits. Key responsibilities include evaluating and debugging test programs, analyzing manufacturability issues, performing data analysis and deploying AI tools to improve test metrics, developing support software, and providing first-level debug. The role requires a Bachelor's or equivalent degree in a related engineering field and prefers proficiency in AI tools and programming languages like Python.

Lead engineer for Advanced Packaging Technology and Manufacturing (APTM) Yield Group focused on driving yield and defect improvement. Responsibilities include extracting insights from large datasets using statistical methods and machine learning, developing solutions using manufacturing process knowledge and problem-solving tools, and influencing the yield roadmap. Requires experience in data analysis with JMP or Python and a strong understanding of electrical/physical fails and inline defect metrology.

Lead engineer for Advanced Packaging Technology and Manufacturing (APTM) Yield Group focused on driving yield and defect improvement. Responsibilities include extracting insights from large datasets using statistical methods and machine learning, developing solutions, and influencing the yield roadmap. Requires strong understanding of electrical/physical fails, defect metrology, and factory systems. Will lead a small group of engineers and partner with cross-functional teams.

Senior Director to lead Enterprise Data & AI Enablement, defining strategic roadmaps for data and AI capabilities, building robust data foundations for advanced AI applications, and overseeing data strategy, architecture, ingestion, and governance. The role focuses on enabling AI/ML initiatives by providing necessary data infrastructure and tooling.

This role focuses on improving product yield in manufacturing by implementing AI capabilities, performing Big Data analysis, and developing scripts for data analysis. The goal is to identify root causes of yield issues and optimize production.