Intel
- HQ
- Santa Clara, US
- Founded
- 1968
- Size
- 120,000+
- Website
- intel.com
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 Research and Development Engineer (Physical AI) This role focuses on building the end-to-end stack for robotic intelligence, bridging high-level research and low-level performance optimization for physical AI. It involves training large-scale Vision-Language-Action (VLA) models and optimizing them for real-time deployment on edge hardware, including developing safety runtimes and model-agnostic inference APIs. | Post-trainServe | 9 |
| Neuromorphic Applications Researcher- Temporary Position Research role focused on developing and benchmarking AI algorithms and robotics applications for Intel's next-generation neuromorphic architecture, aiming to enable physical AI systems with groundbreaking performance and efficiency. The role involves evaluating applications on neuromorphic hardware, validating the SDK, and publishing results. |
| ShipServe |
| 9 |
| Senior AI Software Architect - Runtime Intel is seeking a Senior AI Software Architect to lead the development of their neuromorphic AI execution stack for edge and robotic systems. This role involves architecting and optimizing firmware, runtime components, and performance infrastructure, integrating the stack into robotics ecosystems, and providing technical leadership. The position requires extensive experience in low-level systems software for AI accelerators, software architecture, and production-grade software development in C++/Python, with a strong background in AI/deep learning workloads. | ServeShip | 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 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 Algorithm Research Intern – Neuromorphic Computing AI Algorithm Research Intern focused on developing, implementing, and benchmarking algorithms for Intel's next-generation neuromorphic architecture to enable applications in edge computing, signal processing, and autonomous systems. The role involves contributing to Intel's neuromorphic SDK and publishing research findings. | Data | 9 |
| Machine Learning Engineer Machine Learning Engineer/Data Scientist role focused on agent harness research and model fine-tuning, involving building evaluation benchmarks, iterating on agent harness components (context, memory, tools, skills), developing and maintaining post-training pipelines, designing RL environments and reward functions, and optimizing training runs. The role emphasizes the intersection of research and engineering for agentic applications. | Post-trainAgent | 8 |
| AI Systems and Solutions Engineering Manager Leads a team of engineers responsible for the design and development of integrated end-to-end hardware and/or software systems for AI products and autonomous systems, including deep learning hardware structures. Oversees the development of large-scale continuous delivery systems for AI product development and influences the AI product roadmap based on deep understanding of AI/DL algorithms and customer requirements. Drives strategy for AI research capabilities and manages teams to execute through clear goal setting and accountability. | Ship | 8 |
| Principal Engineer, AI Systems and Solutions Principal Engineer, AI Systems and Solutions at Intel, focusing on designing and developing integrated AI systems (hardware, software, firmware, silicon) for industries like autonomous driving, robotics, and cloud. The role involves leading AI systems architecture, defining components, and innovating in areas like reinforcement learning, computer vision, and simulation, with a strong emphasis on productization and end-to-end solution delivery. | Ship | 8 |
| 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 Solutions Engineer Senior GenAI Software Solutions Engineer role focused on architecting, building, and optimizing hybrid AI agents that run across device and cloud environments. Responsibilities include MCP service integration, agentic routing and planning, model runtime engineering, security and compliance, and optimization techniques like quantization and distillation. Requires 5+ years in AI/ML algorithm development and 2+ years in NLP, LLM-based systems, or AI agent development. | Agent | 8 |
| Principal Engineer: XeSS and Neural Graphics Principal Engineer to drive Intel's XeSS and related AI-based graphics technologies, impacting XeSS Super Resolution, Frame Generation, Neural Rendering, and next-gen AI rendering. The role involves shaping technical direction, driving execution across research, software, hardware, validation, and ecosystem teams, and bringing AI graphics technologies from concept to product. Responsibilities include end-to-end development across model design, datasets, training, visual quality, performance optimization, and product integration, as well as guiding the application of modern AI model architectures to future graphics workloads. | ShipServe | 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 Software Engineer – Agentic AI System AI Software Engineer focused on building infrastructure and tooling for an end-to-end evaluation ecosystem for agentic AI frameworks. Responsibilities include developing scalable deployment and orchestration systems, data pipelines, dashboards, observability tooling, and automating evaluation pipelines for AI agent frameworks and model-serving systems. | AgentEval Gate | 7 |
| Software Engineer - Agent Harness Software Engineer to build the 'harness' for agentic AI systems, focusing on the agent loop, tool integration, context management, and scheduling. The role emphasizes creating a model-agnostic framework for hybrid local and cloud intelligence, with a strong focus on core product engineering for an agent framework. | Agent | 7 |
| Inference Optimization Engineer (local / edge runtime) This role focuses on optimizing AI inference engines (like llama.cpp, vLLM) for constrained local and edge hardware, including GPUs/iGPUs and Vulkan backends. The goal is to improve latency, throughput, and memory usage for interactive agent workloads, driving quantization strategies and reducing CPU overhead. This is crucial for making hybrid, low-cost agent products viable. | Serve | 7 |
| Triton Compiler Engineer Develops Triton front-end and back-end components for Intel GPUs, focusing on creating efficient custom GPU kernels for AI workloads. Requires strong programming skills in C, C++, Python, and experience with compiler stages, code generation, and optimization techniques. | Serve | 7 |
| AI Algorithm Engineer AI Algorithm Engineer role focused on designing, building, and integrating generative AI agents and platforms using local and cloud-based LLMs. The role involves developing AI-powered products, focusing on agent orchestration, tool usage, RAG, and system optimization, and translating AI logic into production-quality software. | Agent | 7 |
| AI Software Engineering Intern Internship role focused on the design, development, and optimization of AI software solutions, including algorithms, frameworks, and architectures. Involves implementing and tuning models, applied research, and hardware-software integration, with potential for system-level deployment. Aims to provide hands-on experience in supporting Intel's business goals. | ServePost-train | 7 |
| 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 |
| Senior AI SoC Design Engineer This role is for a Senior AI SoC Design Engineer at Intel, focusing on developing hardware for AI applications. The engineer will own the architecture and end-to-end design of complex SoC subsystems, drive RTL design, and collaborate across various engineering disciplines. A strong understanding of AI/ML workloads and their impact on hardware architecture is required, along with expertise in SystemVerilog and microarchitecture. The role involves driving system-level PPA tradeoffs and mentoring senior engineers, contributing to the next-generation SoC and AI architecture roadmap. | Serve | 7 |
| AI Software Engineer AI Software Performance Engineer focused on optimizing AI solutions and workloads on Intel products, involving analysis, prototyping, model modification, and performance benchmarking. | ServePost-train | 7 |
| GenAI Software Solutions Engineer This role focuses on designing, building, and integrating generative AI agents and platforms using both local and cloud-based LLMs. The engineer will develop AI-powered products, focusing on agent orchestration, tool usage, RAG, and system optimization, translating AI logic into production-quality software. The position is for a fresh graduate or early-career professional with basic understanding of GenAI and LLMs, and programming experience in Python/C++. | Agent | 7 |
| 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 from implementation to deployment, translating AI logic into production-quality software. | Agent | 7 |
| GenAI Software Solutions Engineer This role focuses on designing, building, and deploying generative AI agents and platforms, integrating local and cloud-based LLMs. It involves developing AI-powered products for intelligent reasoning and automation, with an emphasis on agent orchestration, tool usage, RAG, and system optimization. The position requires end-to-end software development, including implementation, testing, debugging, documentation, and deployment, for a fresh graduate or early-career engineer. | Agent | 7 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| 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 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 |
| 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 |
| 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 Performance Library Architect Software development engineer to work on oneDNN project, a complex cross-platform open-source software project focusing on neural network performance. oneDNN is a critical component of Intel AI strategy, powering key AI applications. Role involves design, development, and maintenance of new functionality in oneDNN to enable performance critical portions of AI workloads, supporting software developers optimizing AI frameworks and workloads for Intel CPUs and GPUs. | Serve | 7 |
| Chip Design Team Lead - AI SOC Lead a digital design team developing cutting-edge AI SoCs, focusing on RTL coding, PPA analysis, and cross-functional collaboration for high-end chip design. | Serve | 7 |
| Senior Director, Data & Intelligence Senior Director to lead Enterprise Data & AI Enablement, reporting to VP of AI and Data. Drives strategic roadmap for data and AI capabilities, focusing on robust data foundations for advanced AI applications. Leads cross-functional teams, collaborates with AI leadership, and influences enterprise-wide data and AI strategy. Responsibilities include defining data strategy, overseeing data ingestion and engineering, enabling AI/ML with tooling and environments, developing knowledge products, integrating structured/unstructured data, and designing data models for BI and AI workloads. Also responsible for data governance, quality, literacy, and compliance. Requires proven experience with large-scale data platforms, enterprise applications, data architecture, warehousing, lakehouse technologies, and building AI-ready data foundations. Must demonstrate ability to drive enterprise-wide data strategy, influence senior leadership, build and scale data teams, and partner with AI/ML teams. Experience in regulated industries is preferred. | Data | 7 |
| End to End GPU AI Software Architect This role is for an End-to-End GPU AI Software Architect at Intel, focusing on the entire software stack from firmware to applications to ensure Intel GPU AI software meets product requirements for workloads, performance, and stability. The architect will make key technical design decisions, influence technical direction across the industry, and mentor other technical leaders. | Serve | 7 |