Intel
- HQ
- Santa Clara, US
- Founded
- 1968
- Size
- 120,000+
- Website
- intel.com
Intel currently has 84 active job listings related to artificial intelligence. The majority of these roles, 51%, are focused on serving infrastructure, with agents representing another significant portion at 24%. Engineering is the most frequent function for these positions. The company is actively hiring in the United States, China, and Mexico. Frequent technical tags include model serving, inference infrastructure, and agent orchestration. In the last 30 days, Intel has added 73 new AI roles, representing a 52% increase compared to the previous 30-day period.
Currently tracking 56 active AI roles, down 27% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $122k–$414k (avg $253k).
Intel currently has 59 active AI-related roles in our index. The most common open titles are: AI Software Engineering Intern (3), AI Software Engineer Intern (2), GenAI Software Solutions Engineer (2), Graduate Talent (GenAI Software Solutions Engineer) (2), AI Algorithm Engineer. Most positions are in Engineering and Research.
Intel's active AI hiring is concentrated in: serving infrastructure (49%), agents (29%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Intel is hiring AI talent in: United States (28 roles), China (7 roles), Mexico (6 roles), Malaysia (6 roles).
Job postings at Intel most frequently reference: model serving, inference infra, agent orchestration, rag, tool use.
In the past 30 days, Intel has posted 28 new AI-related roles. That is a -63% change versus the prior 30 days (75 → 28).
| Title | Stage | AI score |
|---|---|---|
| Neuromorphic/AI Research Scientist Research Scientist role focused on developing and benchmarking AI algorithms for Intel's next-generation neuromorphic architecture, targeting edge computing, signal processing, and autonomous systems. The role involves implementing and evaluating algorithms on neuromorphic hardware, validating the SDK, and presenting findings. | Data | 9 |
| AI Algorithm Research Intern – Neuromorphic Computing 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. | Data | 9 |
| AI Algorithm Research Intern – Neuromorphic Computing 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. |
| Data |
| 9 |
| EDA Tools Software Engineer This role focuses on designing, developing, and maintaining software tools and workflows for design automation, with a strong emphasis on data analytics and AI/ML. It involves contributing to AI/ML use cases, data preparation, model integration, and potentially agentic AI development. The role also includes transforming data into insights using AI techniques and developing analytics dashboards. | DataAgent | 7 |
| Senior Director, Data & Intelligence 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. | Data | 7 |
| APTM Yield Analysis Senior Engineer / Team Leader Senior Engineer/Team Leader in Yield Analysis and Defects for advanced packaging technology. Drives yield and defect improvement using large datasets, advanced analytics, and machine learning. Identifies and resolves yield-limiting mechanisms in development and manufacturing. Leads efforts to improve manufacturing processes, test methodologies, and defect detection. Extracts insights from data, analyzes trends, develops solutions, and influences roadmaps. Partners with cross-functional teams, presents technical reports, and defines corrective actions. Leads and mentors teams. | Data | 5 |
| Software Research Engineer/Scientist Research Engineer/Scientist at Intel focusing on semiconductor manufacturing, specifically using machine learning and data analysis techniques to optimize design rules, process technology co-optimization (DTCO), and design for yield (DFY). The role involves collaborating with design and fab teams to develop manufacturable products on strict timelines, requiring a deep understanding of VLSI physical design, lithography, and software engineering. | Data | 5 |
| Development Tools Software Engineer Software Engineer focused on developing validation tools and capabilities, including synthetic content generation for feature validation. Requires experience with AI-assisted development tools and basic prompt engineering, with preferred experience in agentic frameworks and RAG concepts. | Data | 5 |
| Business Intelligence Analyst - Client Computing Group This role focuses on forecasting and analyzing demand for Intel's PC products, leveraging AI and machine learning for predictive analytics and optimization. The analyst will develop demand forecasts, analyze sales data and market trends, and collaborate with cross-functional teams to improve business insights and profitability. | Data | 5 |
| Manufacturing Quality and Reliability Engineer This role focuses on manufacturing quality and reliability engineering, ensuring products meet high standards. It involves overseeing inspection and testing, conducting quality assessments, developing performance indicators, driving process improvements, and managing excursions. A key responsibility is analyzing data using statistics and machine learning to identify insights and disposition products. The role requires expertise in reliability fundamentals, semiconductor physics, and data analysis, with a preference for experience in leading quality improvement initiatives and communicating with diverse stakeholders. | Data | 5 |
| APTM Yield Analysis/Device Engineer This role focuses on improving manufacturing yield and defect reduction in advanced packaging technology by extracting insights from large datasets using statistical methods and machine learning techniques. The engineer will develop solutions, influence the roadmap, and partner with various engineering teams. | Data | 5 |
| Data Scientist/Statistician The Intel Foundry Statistics and Data Science team is seeking an engineer with a background in statistics and data science to drive statistically sound methodologies into business practices and systems. This role will support semiconductor process development and transfer of systems to a worldwide virtual factory network, focusing on change control decisions, process capability monitoring, and driving best-in-class process control systems. The engineer will use predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to extract insights from data, develop algorithms and applications, and assist the business with casual inferences. | Data | 5 |
| APTM Yield Analysis/Device Engineer 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. | Data | 5 |
| Yield Platform Analyst 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. | Data | 5 |
| WLA Yield Defect Metrology Engineer 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. | Data | 5 |
| AI Software Development Engineer 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. | Data | 5 |
| Engineering Student for Intel Kiryat Gat (System Operations & AI Automation) 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. | Data | 5 |
| Platform Validation Intern 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. | Data | 5 |
| Data Analyst (Disability Hire) 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. | Data | 5 |
| Graduate Talent (MPE DDG Product Development Engineer) 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. | Data | 5 |
| Graduate Talent (MPE DDG Product Development Engineer) 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. | Data | 5 |
| Advanced Packaging Yield Analysis and Defect Engineer 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. | Data | 5 |
| Advanced Packaging Yield Analysis and Defect Engineer 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. | Data | 5 |
| Senior Director , Data and Intelligence 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. | Data | 5 |
| Graduate Talent (MPE Product Dev Mfg Engineer - Yield) 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. | Data | 5 |