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 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.
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 Engineer- (Temporary Position) This role focuses on demonstrating the value of Intel's neuromorphic technologies by developing, implementing, and benchmarking algorithms for next-generation neuromorphic architectures. The goal is to enable applications in edge computing, signal processing, and autonomous systems for physical AI, with a focus on robotics applications like VLA models for drones and humanoids. The role involves validating the neuromorphic SDK, gathering metrics, proposing software enhancements, and presenting findings. It's a fixed-term position within Intel's CTO Office, aiming to commercialize neuromorphic technology. | ShipServe | 8 |
| AI Robotics Engineer- (Temporary Position) Develop, implement, and benchmark advanced robotics algorithms optimized for modern heterogeneous Intel compute architectures, enabling high performance and efficient solutions for real-world applications in autonomous systems, edge robotics, and intelligent physical systems. This role involves integrating and simulating large-scale robotics systems and bringing real robotic platforms to life, with a focus on commercializing these technologies for future Intel and partner products. |
| ShipAgent |
| 8 |
| SoC PTP Val and Opt Engineer (Temporary position) This role focuses on building an internal AI-driven automation platform (GenIA) that enables LLM-based workflows, intelligent agents, and GenAI integrations. The engineer will develop and maintain automation frameworks, orchestration services, and AI-driven workflows for validation and engineering operations, integrating internal tools, APIs, and data pipelines with LLM/GenAI services. The goal is to create intelligent agents and reusable workflows to automate tasks and improve engineering productivity and validation efficiency. | AgentData | 7 |
| SoC PTP Val and Opt Engineer (Temporary position) This role focuses on developing and maintaining an internal AI-driven automation platform (GenIA) for Intel, enabling LLM-based workflows, intelligent agents, and GenAI integrations. The engineer will build integrations, create intelligent agents, and design scalable automation solutions to improve engineering productivity and streamline validation/operational workflows. | AgentData | 7 |
| SoC PTP Val and Opt Engineer (Temporary position) The role involves developing and maintaining an internal AI-driven automation platform (GenIA) that enables LLM-based workflows, intelligent agents, and GenAI integrations. Responsibilities include building integrations, creating intelligent agents, designing scalable automation solutions, and enhancing reliability and observability. The role requires experience with Python, automation frameworks, LLMs/GenAI, and Linux environments. | AgentData | 7 |
| AI Tools Development Intern Intern role focused on the development, validation, and deployment of AI tools such as GenAI assistants, RAG-based knowledge tools, and workflow automation agents within an enterprise AI context. Requires basic knowledge of ML/GenAI concepts and Python programming. | Agent | 7 |