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 34% 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 |
|---|---|---|
| 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 |
| 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 |