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 |
| 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. | Agent | 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 |
| 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 |
| AI Frameworks Software Engineer – Model Compression Algorithm Develop Intel Neural Compressor product and related tools, optimize for Intel AI platform (CPU, GPU, AI Accelerator). Research and implement quantization and compression techniques for LLMs and text-to-image/video generation models. Track and explore cutting-edge directions in efficient model deployment and inference/finetuning acceleration. | ServePost-train | 8 |
| Physical AI Engineer The Physical AI Engineer role at Intel focuses on designing and developing integrated AI solutions for deep learning and machine learning systems, encompassing hardware, software, firmware, and silicon. The role involves AI systems architecture, defining product specifications, and impacting the AI product roadmap. Key responsibilities include developing new methods in areas like reinforcement learning, computer vision, and robotics, leading design and implementation of AI systems, and delivering end-to-end technical solutions for customer problems. The role also involves analyzing AI infrastructure reliability and collaborating on next-generation requirements. | ShipData | 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 |
| 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 |
| Software Enabling and Optimization Engineer This role focuses on optimizing AI software solutions for Intel's AI PC environments by collaborating with customers and ecosystem partners. The engineer will develop, integrate, test, tune, and debug software, leveraging tools like OpenVINO, Llama.CPP, Ollama, LMStudio, and vLLM, to enhance product adoption and differentiation. Key responsibilities include researching and prototyping software, evangelizing Intel's tools, leading pre-enabling efforts, and identifying key workloads for future product designs. | Serve | 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 |
| AI Software Engineering Intern AI Software Engineering Intern role focused on designing, developing, and optimizing AI algorithms and frameworks, with contributions to implementation, tuning, applied research, and prototyping for scalable AI solutions. The role involves working with computer vision, machine learning, and deep learning, and requires programming ability in Python and familiarity with ML frameworks. | ServePost-train | 7 |
| GPU Software Engineer GPU Software Engineer focused on AI-driven software development and validation, building and optimizing software quality measurement and tracking systems. Responsibilities include developing high-performance software modules with AI technologies and models, optimizing media drivers, and deploying LLMs/VLMs within agentic frameworks. | AgentServe | 7 |
| AI Framework Software Intern Internship role focused on optimizing AI software solutions, including algorithms, frameworks, and architectures for computer vision, machine learning, and deep learning. Responsibilities include researching model quantization and graph transformation, evaluating LLM performance on Intel platforms, analyzing software bottlenecks, and assisting in implementing and tuning AI models for performance and accuracy. The role emphasizes hardware-software integration and collaboration for scalable AI solutions. | Serve | 7 |
| AI GPU Arch Perf Optimization Intern This internship focuses on optimizing core GPU compute kernels for AI and numerical workloads, validating GPU IP with AI inference and training workloads, and performing GPU performance profiling and analysis. The role involves hardware/software codesign for next-generation Intel GPU and AI accelerator platforms. | Serve | 7 |
| AI GPU Arch Perf Optimization Intern Intern role focused on optimizing GPU compute kernels for AI workloads and validating GPU IP. Involves performance profiling, analysis, and modeling to improve next-generation Intel GPU and AI accelerator platforms. | Serve | 7 |
| AI GPU Arch Perf Optimization Intern This internship focuses on optimizing core GPU compute kernels for AI and numerical workloads, validating GPU IP with AI inference and training workloads, and performing GPU performance profiling and analysis. The role involves hardware/software codesign for next-generation Intel GPU and AI accelerator platforms. | Serve | 7 |
| Software Solutions Engineering Intern Internship role focused on the research and application of Vision-Language-Action (VLA) algorithms in robot scenarios. Responsibilities include VLA data collection, model fine-tuning, performance testing, problem analysis, and optimization using Python and frameworks like lerobot, PyTorch, and TensorFlow. The role involves improving model adaptability and execution accuracy for robot systems. | Post-trainAgent | 7 |
| AI Software Engineer Intern Intern role focused on optimizing CPU kernels for AI workloads, including LLMs and multimodal models, using Intel architecture features and performance profiling tools. Integrates custom operators into production frameworks. | Serve | 7 |
| Efficient AI Solutions Engineering Intern Internship role focused on developing efficient algorithm solutions for accelerating large AI models and agentic systems, with an emphasis on deployment in resource-constrained computing platforms. | ServeAgent | 7 |
| AI Compiler and Library Engineer - Intern AI Compiler and Library Engineer Intern at Intel, contributing to the design, development, and optimization of AI software solutions, including algorithms, frameworks, and architectures. Focuses on implementing and tuning models for performance and accuracy, applied research, and hardware-software integration, with potential involvement in system-level deployment. The role emphasizes learning and skill development through hands-on projects supporting Intel's business goals. | Serve | 7 |
| AI Software Engineering Intern AI Software Engineering Intern at Intel contributing to the design, development, and optimization of AI software solutions across computer vision, machine learning, and deep learning. Responsibilities include implementing and tuning models, conducting applied research, and assisting with system-level deployment. | Post-train | 7 |
| AI framework vLLM optimization Intern AI Software Engineering Intern focused on designing, developing, and optimizing AI software solutions, including algorithms, frameworks, and architectures. Key responsibilities include tuning deep learning models, exploring model compression techniques (quantization, pruning), and conducting applied research for system-level deployment and hardware integration. The role emphasizes practical engineering applications and inference optimization. | Serve | 7 |
| AI Software Engineer Intern AI Software Engineer Intern role focused on the design, development, and optimization of AI software solutions, including algorithms, frameworks, and architectures. Responsibilities include implementing and tuning models, applied research, hardware-software integration, and system-level deployment. The role involves learning and applying knowledge in areas like computer vision, machine learning, and deep learning, with a focus on performance and accuracy. | ServePost-train | 7 |
| Workload optimization intern This intern role focuses on optimizing deep learning models and their deployment for Intel GPUs/CPUs. Responsibilities include performance tuning, debugging accuracy and memory issues, developing deployment frameworks (e.g., using vLLM), and creating high-performance kernels. The role involves technical syncs with architects and transforming innovative ideas into production-ready features. | 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 |
| AI Framework Engineering Intel CAIGC is seeking an AI Framework Engineer to advance AI technologies and software ecosystems, focusing on enabling the AI PC ecosystem and delivering full-stack GPU IP solutions. The role involves research, validation, performance evaluation, and optimization of AI models and frameworks on Intel platforms. | Serve | 7 |