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 |
|---|---|---|
| Graduate Talent (GenAI Software Solutions Engineer) This role focuses on designing, building, and integrating generative AI agents and platforms, leveraging both local and cloud-based LLMs. The engineer will develop AI-powered products and solutions for real-world use cases, focusing on agent orchestration, tool usage, RAG, and system optimization. Responsibilities include end-to-end development, translating AI logic into production software, and deploying AI services. | Agent | 7 |
| GPU Software Development Engineer Develops AI solutions and tools for automating GPU driver validation, leveraging Generative AI and LLMs for information retrieval and agentic workflows. Involves all phases of design from pre-silicon to post-silicon launch, with opportunities to work on innovation projects using GenAI. Requires strong graphics driver and GPU hardware understanding, with experience in C/C++/Python and AI/ML techniques. | Agent |
| 7 |
| 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 Software Engineering Intern AI Software Engineering Intern at Intel in Poland. Responsibilities include collaborating on AI algorithm development, optimizing and fine-tuning AI models, conducting applied research, supporting hardware-software integration, and contributing to system-level deployment of AI solutions across computer vision, machine learning, and deep learning domains. | Post-trainServe | 7 |
| EDA Tools Software Engineer This role focuses on designing, developing, and maintaining software tools and workflows for design automation, with a strong emphasis on data analytics and AI/ML. It involves contributing to AI/ML use cases, data preparation, model integration, and potentially agentic AI development. The role also includes transforming data into insights using AI techniques and developing analytics dashboards. | DataAgent | 7 |
| AI Software Solutions Engineer AI Software Solutions Engineer focused on Vision AI and Gen AI applications on Intel hardware, optimizing AI model performance and enabling Edge AI adoption in various industries. Responsibilities include integrating and optimizing AI solutions, ensuring production readiness, performing benchmarking with OpenVINO, and supporting customers/ISVs. | 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 |
| AI Research Engineer/Scientist (OpenVINO, NNCF) AI Research Engineer/Scientist to drive the development of the Neural Network Compression Framework (NNCF), focusing on research and development of SOTA compression algorithms for high-performance neural network inference optimization within the OpenVINO ecosystem. | Post-trainServe | 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 |
| Triton Compiler Engineer The role involves developing Triton front-end and back-end components for Intel GPUs, focusing on creating efficient custom GPU kernels for AI workloads. Responsibilities include defining, designing, developing, testing, and maintaining software tools for domain-specific programming languages, working with hardware design teams and compiler development communities, and participating in language standards groups. The ideal candidate has experience in GPU programming for AI, C/C++/Python, compiler stages, code generation, optimization, and GitHub. Familiarity with PyTorch attention techniques for transformer models is also required. | Serve | 7 |
| AI Software Development Engineer AI Software Development Engineer focused on optimizing AI inference workloads (LLMs, Diffusion models) on Intel GPUs. This role involves end-to-end optimization across graph compilation, runtime execution, and low-level GPU kernels, requiring strong C++ skills and understanding of GPU architectures and neural network inference. | Serve | 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 Validation, Workload Enabling and Tools Engineer AI Software Solution Engineer focused on validation and workload enabling for Intel platforms. The role involves optimizing AI model efficiency, accuracy, and performance by working with frameworks, algorithms, and hardware. Key responsibilities include enabling AI models on Intel GPUs, debugging deep learning models, conducting benchmarking and validation, developing automation pipelines, and evaluating AI models against competitors. The role also involves customer engagement for enablement and performance improvements, and translating AI workload needs into architecture insights. | ServeEval Gate | 7 |
| Senior AI Algorithm Engineer in oneDNN Seeking a Senior AI Algorithm Engineer to develop and optimize oneDNN, a critical open-source performance library for deep learning applications, enabling state-of-the-art neural network performance across Intel hardware (CPUs, GPUs). The role involves low-level performance engineering, parallel algorithm development, and contributing to the open-source community. | ServePost-train | 7 |
| Applied AI (Frameworks) Engineer Engineer to work on Intel's AI frameworks software stack, focusing on design, development, and optimization of features for AI accelerators and GPUs. This includes ML kernel development, enhancing training and inference capabilities, and contributing to open-source AI frameworks like PyTorch, Tensorflow, and JAX. | Serve | 7 |
| AI Frameworks Engineer Intel is seeking a software engineer for its deep learning compiler team to develop and optimize compiler technology for deep learning workloads on Intel NPUs. This role involves analyzing deep learning networks, developing compiler optimization algorithms, and collaborating with hardware and software framework teams to achieve high performance for AI hardware accelerators. The focus is on product development with an end goal of high-quality, high-performance, secure product software. | Serve | 7 |
| Lead Senior Design Engineer – AI SoC Development Lead Senior Design Engineer focused on AI SoC development, responsible for defining, implementing, and validating complex SoC IP blocks and subsystems for AI applications. This role involves architectural leadership, microarchitecture and RTL development, verification collaboration, timing/physical design support, and silicon bring-up, all while ensuring power, performance, and security requirements are met for next-generation AI solutions. | Serve | 7 |
| Senior System Debug Engineer Senior System Debug Engineer responsible for the design and development of integrated AI solutions for deep learning and machine learning systems, focusing on hardware, software, firmware, board, and silicon components. The role involves AI systems architecture, defining product specifications, and impacting the AI product roadmap. It requires developing new methods in various AI/ML domains, leading design and implementation of component-level choices for performance and cost, defining system integration approaches, and delivering end-to-end technical solutions. The role also includes debugging and ensuring the reliability of AI infrastructure, collaborating on next-generation requirements, and influencing AI roadmap with customer knowledge. | 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 |
| Robotics Research Intern Robotics Research Intern at Intel focusing on advanced algorithmic development and robotics research for next-generation robotic technologies. The role involves researching, designing, and optimizing robotics algorithms, control systems, and AI/ML models, with a focus on enabling intelligent autonomous systems and innovative robotic applications. Collaboration with cross-functional teams to translate research into practical implementations is key. | Agent | 7 |
| Applied AI Frameworks Engineer This role focuses on designing and developing features for Intel's AI frameworks software stack, specifically optimizing inference serving frameworks (like SGLang, vLLM) and ML frameworks (PyTorch, Tensorflow, JAX) for Intel's AI accelerators and GPUs. The engineer will enhance deep learning training and inference capabilities, identify optimization opportunities, and contribute to open-source communities. | Serve | 7 |
| Applied AI Frameworks Engineer Engineer to design and develop features for Intel's AI frameworks software stack, focusing on inference serving frameworks (SGLang, vLLM) and ML frameworks (PyTorch, Tensorflow, JAX). The role involves optimizing software for Intel's AI accelerators and GPUs, enhancing training and inference capabilities, and contributing to open-source communities. | 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 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 |
| AI Frameworks Engineer – GPU Performance for Generative AI (OpenVINO) Software engineer focused on implementing and optimizing generative AI workloads (LLMs, diffusion models) on Intel GPUs using the OpenVINO inference runtime. The role involves analyzing performance bottlenecks, adapting state-of-the-art techniques, and optimizing for current and future GPU architectures, requiring deep C++ and system-level expertise. | Serve | 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 |
| Research Intern: Agent-CC System Research intern position focused on Confidential AI systems and Agent-CC solutions for hyperscale, involving LLMs, AI systems, and microarchitecture. Requires programming, foundational computer architecture, and AI math skills. | Agent | 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 |
| Image Processing Engineer (C++/Linux) Image Processing Engineer with C++/Linux experience to develop and implement computer vision algorithms for nanometer-scale metrology applications in mask and semiconductor manufacturing. The role involves algorithm development, programming, software tool development, testing, documentation, and user interaction to improve quality control and process development. | Agent | 7 |
| Software Product Manager Product Manager for AI Compute Software, focusing on performance-critical middleware for AI training and inference on accelerators and CPUs. The role involves defining product strategy, roadmap, and execution, collaborating with hardware, framework, and system software teams to ensure high performance, scalability, and developer usability. | Serve | 7 |
| Sr. Security Architect Sr. Security Architect role focused on applying AI-driven tools to enhance security architecture for Client and Data Center SoCs, including firmware and low-level hardware/software. The role involves using AI for vulnerability identification, code analysis, threat modeling, and defining security specifications, aiming to discover risks earlier and more broadly than traditional methods. | Agent | 7 |
| AI Software Development Engineer Software Development Engineer focused on optimizing Neural Network performance for Intel AI accelerators using compiler technologies and graph theory. The role involves driving design, implementing compilation passes, and developing performance analysis tools for future AI hardware. | Serve | 7 |
| AI Frameworks Engineer (OpenVINO, GenAI) AI Frameworks Engineer focused on optimizing generative AI models for efficient inference using the OpenVINO toolkit across Intel hardware, from edge to cloud. This role involves deep dives into generative model architectures and the OpenVINO ecosystem, implementing new features, and optimizing performance for state-of-the-art inference solutions. | Serve | 7 |
| Senior AI SoC Architect Senior AI SoC Architect role at Intel focused on architecting next-generation datacenter AI SoCs and rack-scale AI servers. Responsibilities include defining and leading architecture development, influencing direction, and collaborating across disciplines for optimized power/performance. Requires 10+ years of SoC architecture experience. | Serve | 7 |
| Senior Design Verification Engineer - Neuromorphic Computing Senior Design Verification Engineer for Intel's Neuromorphic Computing Lab, focusing on pre-silicon verification of novel AI accelerator architectures. The role involves developing a scalable verification framework, writing directed and random tests, debugging, and using AI tools to improve productivity. Experience with UVM/OVM and AI tools for test generation is required. | Serve | 7 |
| Systems Research Engineer/Scientist Systems Research Engineer/Scientist role focused on leveraging AI/ML for higher efficiency and performance in system architecture innovations, including high-performance cluster computing, virtualization, and accelerated computing. The role involves prototyping, characterizing, and analyzing workloads, developing tools for performance assessment, and influencing future product roadmaps. Requires strong systems knowledge and hands-on experience with AI workloads, with a focus on performance modeling and analysis of AI inference or training. | 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 |