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 Software Engineer Intern This role focuses on building and optimizing a next-generation LLM inference system, including model optimization, inference runtime, and system-level design. It involves research and engineering to implement and optimize core techniques across the stack from model to kernels to runtime to distributed systems, with a key focus on GPU kernel and runtime optimization for an end-to-end AI rack software system for LLM inference. | Serve | 9 |
| AI Software Engineer Intern This role focuses on building and optimizing a next-generation LLM inference system, including model optimization, inference runtime, and system-level design. It involves research and engineering to implement and optimize core techniques across the stack from model to kernels to runtime to distributed systems, with a key focus on GPU kernel and runtime optimization for an end-to-end AI rack software system for LLM inference. | Serve |
| 9 |
| AI Software Engineering Intern This internship focuses on developing and enabling Agentic AI systems on AI PC platforms. Responsibilities include setting up AI environments, experimenting with AI models and applications, and supporting pretraining and task learning pipelines. The role emphasizes hands-on engineering across AI infrastructure, system setup, and agent-oriented AI workloads, contributing to client AI software ecosystem development. | AgentPost-train | 8 |
| Senior GenAI Software Architect Senior GenAI Software Architect role focused on building and architecting machine learning products and solutions, with a strong emphasis on GenAI algorithms, LLM-based systems, and AI agent development. The role involves translating ML models into software, optimizing for edge devices, and supporting customer/partner deployments. | AgentPost-train | 8 |
| GenAI Software Architect GenAI Software Architect role at Intel, focusing on building and optimizing AI/ML-based products and solutions, particularly LLM-based systems and AI agents. Requires expertise in GenAI algorithms, solution architecture, performance tuning, and experience with frameworks like LangChain and RAG pipelines. The role involves developing and deploying machine learning models and methods into software, with a focus on real-world use cases and edge device optimization. | Agent | 8 |
| AI Framework Software Engineer AI Framework Software Engineer at Intel focused on designing, developing, and optimizing AI software and frameworks. The role involves implementing distributed algorithms, transforming computational graphs, developing ML/DL primitives, profiling models, and optimizing code for hardware backends. Collaboration with ML/DL researchers is key. | Serve | 7 |
| AI Software Engineering Graduate Intern AI Software Engineering Graduate Intern to contribute to the development and optimization of AI workload solutions spanning algorithms, AI software frameworks, system software, and infrastructure. Responsibilities include reproducing AI inference workloads, building workload profiles, identifying system bottlenecks, and performing performance analysis to support hardware/software co design for next generation AI SoC products. | Serve | 7 |
| Facility engineer Facility engineer role focused on project management for lab modifications and space projects, ensuring process and safety compliance, assisting with project filing, data management, and coordination. Requires construction management experience, technical knowledge of project management software, strong communication, attention to detail, multitasking, and basic financial concepts. Bachelor's degree required. | — | 0 |
| Supply Chain Engineer (SCE) Supply Chain Engineer at Intel responsible for managing supplier relationships, optimizing supply chain processes, and ensuring quality and yield improvements. The role involves NPI, ramp, HVM, and EOL support, as well as project participation and strategic planning for Intel's supply chain roadmap. | — | 0 |
| Project Controls Engineer Project Controls Engineer at Intel Foundry Construction Sourcing responsible for cost/estimating/schedule controls for semiconductor manufacturing factory projects. This role involves cost reporting, forecast development, leading estimate development, driving process improvements, financial updates, cost reduction strategies, and partnering with procurement on commercial activities. Requires experience in estimation, cost control, capital, OpEx/Spending, and FPnA. | — | 0 |