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 |
|---|---|---|
| Neuromorphic Applications Researcher- Temporary Position Research role focused on developing and benchmarking AI algorithms and robotics applications for Intel's next-generation neuromorphic architecture, aiming to enable physical AI systems with groundbreaking performance and efficiency. The role involves evaluating applications on neuromorphic hardware, validating the SDK, and publishing results. | ShipServe | 9 |
| AI Systems and Solutions Engineering Manager Leads a team of engineers responsible for the design and development of integrated end-to-end hardware and/or software systems for AI products and autonomous systems, including deep learning hardware structures. Oversees the development of large-scale continuous delivery systems for AI product development and influences the AI product roadmap based on deep understanding of AI/DL algorithms and customer requirements. Drives strategy for AI research capabilities and manages teams to execute through clear goal setting and accountability. |
| Ship |
| 8 |
| Principal Engineer, AI Systems and Solutions Principal Engineer, AI Systems and Solutions at Intel, focusing on designing and developing integrated AI systems (hardware, software, firmware, silicon) for industries like autonomous driving, robotics, and cloud. The role involves leading AI systems architecture, defining components, and innovating in areas like reinforcement learning, computer vision, and simulation, with a strong emphasis on productization and end-to-end solution delivery. | Ship | 8 |
| Principal Engineer: XeSS and Neural Graphics Principal Engineer to drive Intel's XeSS and related AI-based graphics technologies, impacting XeSS Super Resolution, Frame Generation, Neural Rendering, and next-gen AI rendering. The role involves shaping technical direction, driving execution across research, software, hardware, validation, and ecosystem teams, and bringing AI graphics technologies from concept to product. Responsibilities include end-to-end development across model design, datasets, training, visual quality, performance optimization, and product integration, as well as guiding the application of modern AI model architectures to future graphics workloads. | ShipServe | 8 |
| Edge AI Software Product Manager Product Manager for Intel's Open Edge Platform, focusing on AI Suites, Libraries, and Tools for Edge AI and Robotics solutions on Intel silicon. Responsibilities include product lifecycle management, defining product strategy, leading cross-functional teams, and supporting product development and adoption. | Ship | 5 |