Intel
- HQ
- Santa Clara, US
- Founded
- 1968
- Size
- 120,000+
- Website
- intel.com
Currently tracking 65 active AI roles, up 115% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $122k–$414k (avg $253k).
| Title | Stage | AI score |
|---|---|---|
| GenAI Software Architect GenAI Software Architect role focused on building and optimizing machine learning products and solutions, particularly LLM-based systems and AI agents. Requires deep expertise in GenAI algorithms, solution architecture, performance tuning, and experience with frameworks like LangChain, RAG pipelines, and vector databases. The role involves developing custom AI tools and optimizing GenAI workloads for edge devices. | Agent | 8 |
| Firmware validation AI intern This intern role focuses on AI agent development, including designing autonomous agents, integrating tools and APIs, building RAG systems, orchestrating multi-agent collaboration, and implementing performance monitoring. It requires familiarity with agent frameworks like LangChain and an understanding of LLM architectures, prompt engineering, and RAG techniques. The role also involves traditional firmware validation tasks like test case development and issue investigation. |
| 8 |
| Embodied AI Robot System Intern Develops and integrates large models (LLMs/VLMs/VLAs) into ROS 2-based robotic systems for perception, planning, and execution. Designs reward functions, training curricula, and evaluation protocols for embodied tasks, with a focus on training RL policies for manipulation. | AgentData | 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 |
| Security Software Applications Eng Graduate Intern This role focuses on building AI agents that automate security engineering tasks, including CVE triage, security advisory drafting, and SDL automation, by leveraging LLMs and agent frameworks. | Agent | 7 |
| GPU Software Development Engineer Develop and optimize high-performance software modules using Python/C/C++ with AI technologies, including LLMs and VLMs within agentic frameworks, and optimize media drivers for Intel platforms. | AgentServe | 7 |