Currently tracking 56 active AI roles, down 14% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $122k–$414k (avg $253k).
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.
Intel currently has 67 active AI-related roles in our index. The most common open titles are: AI Software Engineering Intern (4), GenAI Software Solutions Engineer (3), AI Software Engineer Intern (2), Graduate Talent (GenAI Software Solutions Engineer) (2), Middleware Development Engineer (2). Most positions are in Engineering and Research.
Intel's active AI hiring is concentrated in: serving infrastructure (51%), agents (27%), application (9%). 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 (20 roles), China (12 roles), Mexico (9 roles), Malaysia (8 roles).
Job postings at Intel most frequently reference: model serving, inference infra, agent orchestration, rag, fine tuning.
In the past 30 days, Intel has posted 43 new AI-related roles. That is a -45% change versus the prior 30 days (78 → 43).
| Title | Stage | AI score |
|---|---|---|
| Neuromorphic/AI Research Scientist Research Scientist role focused on advancing neuromorphic computing technology for commercial adoption, involving algorithm design, prototyping, and evaluation for applications in robotics, signal processing, and autonomous systems on edge platforms. The role requires translating research breakthroughs into real-world products and collaborating with hardware/software teams. | ShipData | 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 Development Engineer AI Software Development Engineer focused on building and scaling production-grade data infrastructure for agentic AI systems. Responsibilities include agent orchestration, data engineering and integration, DevOps for AI agent systems, and observability/evaluation for agent runs. Requires experience in DevOps, SRE, data engineering, or infrastructure engineering for production AI or distributed systems, LLM serving, RAG, and Python. | Agent | 8 |
| Applied Machine Learning Engineer (LLMs & RL) Applied Machine Learning Engineer focused on fine-tuning large language models (LLMs) and Reinforcement Learning (RL). Responsibilities include designing and maintaining post-training pipelines, developing RL environments and reward models, debugging and scaling distributed training, and designing experiments and evaluation metrics. | Post-trainAgent | 8 |
| GPU Power Architect The role focuses on designing and developing energy-efficient hardware architectures for AI/ML workloads, specifically for GPUs. Responsibilities include building and validating GPU power models, optimizing for performance-per-watt, and developing scalable power analysis flows. The position requires a strong background in computer architecture, digital logic design, and power modeling. | Serve | 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 |
| AI Algorithm Engineer Scientist AI Algorithm Engineer Scientist at Intel focused on generative AI, specifically for building next-generation code generation agents for GPU programming. The role involves research and development of ML models, algorithm optimization for CPUs/GPUs, and translating models into deployable products, with a focus on areas like audio, voice, speech, and vision processing. | AgentData | 8 |
| Principal Engineer – Distributed AI Systems Architecture (Heterogeneous Compute) Seeking a Principal Engineer to architect next-generation distributed AI systems across heterogeneous compute platforms (CPUs, GPUs, accelerators). The role focuses on dynamic execution of large-scale AI computation graphs, managing state, locality, and performance. Responsibilities include defining runtime models, stateful scheduling, graph introspection, integrating specialized accelerators, MoE-aware execution, and adaptive runtime optimization. Requires deep expertise in systems architecture, HPC, distributed systems, and heterogeneous compute environments, with experience in AI/ML systems and inference infrastructure preferred. | ServeAgent | 8 |
| Senior Principal Engineer – AI Applied Research Senior Principal Engineer in AI Applied Research at Intel, focusing on applying AI/ML to logic IP design and semiconductor manufacturing. The role involves conducting applied research, developing proof-of-concept models, and implementing solutions to demonstrate business value, requiring expertise in deep learning, ML, RL, NLP, GNNs, and time-series. The position emphasizes leadership, influencing partners, and mentoring technical leaders. | Post-train | 8 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| 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 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 |
| 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 |
| Development Tools Software Engineer Software Engineer focused on developing validation tools and capabilities, including synthetic content generation for feature validation. Requires experience with AI-assisted development tools and basic prompt engineering, with preferred experience in agentic frameworks and RAG concepts. | Data | 5 |
| Hardware DevOps/AI Engineer Fall 2026 Internship Internship role focused on supporting IP blocks design activities, developing and maintaining flows, tools, and methodologies, with a strong emphasis on using and evaluating AI coding tools to scaffold features, wire up APIs, and review/test AI-generated code. The role involves contributing to Intel's business goals through hands-on projects and collaboration. | Agent | 5 |
| Yield Development Engineer Yield Development Engineer at Intel, focusing on identifying root cause yield limiters in semiconductor manufacturing through statistical analysis, data consolidation, and machine learning techniques. The role involves developing methods and systems to analyze diverse data sources, construct yield roadmaps, and drive process changes for yield enhancement. Requires collaboration across functions and development of tools for high-volume data analysis. Primarily involves data analysis and process development in an industrial manufacturing setting. | — | 5 |
| Packaging Module Equipment Development Engineer Develops assembly processes and equipment for Intel's future packaging platform technologies, optimizing manufacturing for quality, reliability, and yield. Utilizes AI/ML applications for metrology, processing image data from inspection systems to improve defect detection and minimize false positives. Collaborates with AI experts and automation teams. | — | 5 |
| Segment Product Manager - Computers for Agents Product Manager for Intel's new 'Computers for Agents' product line, focusing on defining and delivering agent-native compute platforms across consumer and enterprise segments. This role involves end-to-end product definition, working with silicon, software, and OEM partners to create vertically integrated solutions for the emerging agent compute category. | — | 5 |
| Analytics and AI Solution Architect This role focuses on developing and implementing cloud-native analytical applications and solutions, with a strong emphasis on leveraging data engineering and cloud platforms. A key aspect involves designing and building pipelines for structured and unstructured data, including the use of Vector databases within a Retrieval Augmented Generative AI architecture. The role also involves applying Lambda architecture, database design, and data modeling, and collaborating on AI/ML infrastructure and big data integrations. | AgentData | 5 |
| Silicon Performance Validation and Characterization Intern Intern role focused on Si performance analysis for network and AI workloads, performance modeling, and architectural tradeoff analysis within the Data Center Group. The role involves assisting with integration planning and collaborating with architects and design engineers to ensure platform scalability and alignment with strategic goals, using state-of-the-art analysis tools. | Serve | 5 |
| WLA Yield Defect Metrology Engineer This role focuses on yield defect metrology engineering within Intel's Advanced Packaging / TD division. The engineer will be responsible for process development, statistical analysis, and identifying root causes of yield limiters by analyzing big data from various sources. This involves developing methods and systems to consolidate and analyze data, applying statistics and machine learning techniques, and creating tools and algorithms for high-volume data analysis to drive yield improvement. The role also involves fault isolation, failure analysis, and ensuring manufacturability through data analysis and collaboration with design teams. While the role uses ML techniques, its primary focus is on yield improvement in semiconductor manufacturing, not on developing AI models as a core craft. | — | 5 |
| Director, Global Social Media and Community This role leads Intel's global social media and community strategy, transitioning from a broadcast model to a community-first, predictive posture. It involves architecting a global organization that integrates brand narrative, technical community engagement, developer marketing, social intelligence, and AI-led intelligence gathering, content development, and orchestration. The role requires building a modern function from the ground up, transforming social listening into predictive intelligence, partnering on rapid response capabilities using AI-driven workflows, managing competitive narratives, and fostering community and developer engagement across various platforms, including Generative AI and LLMs. It also focuses on AI-native content operations, integrating generative and agentic AI into the content supply chain, and driving Intel's messaging into channels that serve as training sources for LLMs. | — | 5 |
| Business Intelligence Analyst - Client Computing Group This role focuses on forecasting and analyzing demand for Intel's PC products, leveraging AI and machine learning for predictive analytics and optimization. The analyst will develop demand forecasts, analyze sales data and market trends, and collaborate with cross-functional teams to improve business insights and profitability. | Data | 5 |
| Consumer Industries Solution Lead Intel is seeking a Solution Lead for their Consumer Industries vertical to drive the design and development of integrated AI solutions for retail, grocery, hospitality, and banking. This role involves roadmap planning, portfolio alignment, and customer/partner engagement, focusing on edge-native transactional platforms. The ideal candidate will translate industry trends and customer insights into actionable roadmaps and deployable solutions, balancing strategic direction with near-term clarity. | — | 5 |
| APTM Yield Analysis/Device Engineer This role focuses on improving manufacturing yield and defect reduction in advanced packaging technology by extracting insights from large datasets using statistical methods and machine learning techniques. The engineer will develop solutions, influence the roadmap, and partner with various engineering teams. | Data | 5 |
| Middleware Development Engineer This role focuses on optimizing communication libraries (oneCCL, SHMEM, MPI) for High-Performance Computing (HPC) and Artificial Intelligence (AI) workloads. The engineer will identify and resolve performance bottlenecks within Intel's communication libraries, particularly for AI applications running at scale on Intel's GPUs and CPUs. The goal is to maximize the utility and performance of these systems for scientific discoveries and machine learning innovations. | Serve | 5 |
| Middleware Development Engineer This role focuses on optimizing communication libraries (oneCCL, SHMEM, MPI) for High-Performance Computing (HPC) and AI workloads, specifically identifying and resolving performance bottlenecks in Intel's oneCCL library for AI applications. The engineer will optimize runtime software for distributed systems, ensuring low latency and high bandwidth on Intel GPUs and CPUs, contributing to advancements in scientific discovery and AI systems. | Serve | 5 |
| Data Scientist/Statistician The Intel Foundry Statistics and Data Science team is seeking an engineer with a background in statistics and data science to drive statistically sound methodologies into business practices and systems. This role will support semiconductor process development and transfer of systems to a worldwide virtual factory network, focusing on change control decisions, process capability monitoring, and driving best-in-class process control systems. The engineer will use predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to extract insights from data, develop algorithms and applications, and assist the business with casual inferences. | Data | 5 |
| Sales Developement Manager - Team AWS Sales Development Manager for Intel, focusing on driving adoption of Intel-based AWS instances for AI and enterprise workloads. The role involves strategic partnerships, executive influence, and providing market feedback to shape product roadmaps. While the company and its products are AI-focused, the role itself is sales-oriented. | — | 5 |
| APTM Yield Analysis/Device Engineer This role focuses on yield analysis and improvement in advanced packaging technology and manufacturing. The engineer will extract insights from large datasets using statistical methods and machine learning techniques, develop solutions to manufacturing process problems, and influence the yield improvement roadmap. The role requires understanding the relationship between electrical and physical fails, inline defect metrology, and collaborating with various engineering teams. | Data | 5 |
| Yield Platform Analyst The Yield Platform Analyst role at Intel focuses on driving yield improvement across advanced packaging technologies. This involves defining goals, establishing relationships between material/tool/process modulators and yield, performing statistical analysis, and extracting insights from data using machine learning and coding techniques. The candidate will develop systems to transform data into yield improvement actions and ensure manufacturability. This role requires defining roadmaps, influencing strategies, and working with cross-functional teams throughout the technology lifecycle from pathfinding to HVM ramp. | Data | 5 |
| WLA Yield Defect Metrology Engineer - Shift 7 This role focuses on yield enhancement in semiconductor manufacturing by applying statistical analysis, machine learning, and data analytics to identify root causes of yield limiters and optimize manufacturing processes. The engineer will extract insights from diverse data sources, develop tools for high-volume data analysis, and collaborate with cross-functional teams to drive process improvements and ensure product quality. | — | 5 |
| WLA Yield Defect Metrology Engineer This role focuses on yield improvement in semiconductor manufacturing by applying statistical analysis, machine learning, and coding techniques to analyze big data from manufacturing processes, identify root causes of defects, and develop data-driven strategies for yield optimization. The engineer will develop systems and methodologies for data consolidation, perform statistical analysis and visualization, and transform data into actionable yield improvement strategies. | Data | 5 |
| Health and Life Sciences Systems and Solutions Engineer Intel's Health and Life Sciences (HLS) vertical is seeking a Roadmap and Solutions Manager to define and align strategic roadmaps for intelligent, secure, and reliable medical devices and life sciences instruments. The role involves translating market needs, customer insights, and regulatory considerations into actionable roadmaps and deployable solutions, with a focus on edge-native solutions. The candidate will bridge market requirements and internal execution, ensuring solutions are grounded in real-world deployment constraints and feedback is incorporated into roadmap evolution. Familiarity with AI/ML in healthcare is preferred. | — | 5 |
| AI Software Engineering Intern Internship role focused on building AI software stacks, GPU programming, and performance optimization. Contributes to design, development, and optimization of AI software solutions, algorithms, frameworks, and architectures. Assists in implementing and tuning models for performance and accuracy, applied research, and hardware-software integration. May involve creating AI software solutions and system-level deployment for scalable and efficient AI. | Serve | 5 |
| Frame Automation Software Engineer Software Engineer role focused on designing, developing, testing, and debugging software tools, flows, and methodologies for hardware design automation within the semiconductor industry. The role involves capturing requirements, writing functional and test code, automating build/deployment, and performing testing. It also includes designing web interfaces for tool configuration and control, and supporting Linux EDA tool infrastructure. While AI is mentioned as a general company goal, the core responsibilities are in software engineering for design automation, not direct AI/ML model development. | — | 5 |
| Robotics Engineer Robotics Engineer to design, develop, and deploy robotic systems (COBOTs, AMRs, Quadrupeds, Humanoids) for semiconductor manufacturing environments. Requires experience in robotics engineering, C++, Python, ROS2, and ideally ML/AI applied to robotics. | Ship | 5 |
| Advanced Packaging Yield Analysis and Defect Engineer Lead engineer for Advanced Packaging Technology and Manufacturing (APTM) Yield Group focused on driving yield and defect improvement. Responsibilities include extracting insights from large datasets using statistical methods and machine learning, developing solutions using manufacturing process knowledge and problem-solving tools, and influencing the yield roadmap. Requires experience in data analysis with JMP or Python and a strong understanding of electrical/physical fails and inline defect metrology. | Data | 5 |
| Manager – VMaaS & CaaS Platforms (Enterprise & Labs) Manager for VMaaS and CaaS platforms, responsible for end-to-end ownership, reliability, and evolution. Focuses on stable operations, scalable architecture, and lifecycle management, including platform modernization and AI/automation-driven operations. Leads a team of platform engineers. | — | 5 |
| Advanced Packaging Yield Analysis and Defect Engineer Lead engineer for Advanced Packaging Technology and Manufacturing (APTM) Yield Group focused on driving yield and defect improvement. Responsibilities include extracting insights from large datasets using statistical methods and machine learning, developing solutions, and influencing the yield roadmap. Requires strong understanding of electrical/physical fails, defect metrology, and factory systems. Will lead a small group of engineers and partner with cross-functional teams. | Data | 5 |
| Custom Silicon Firmware Architect This role focuses on architecting and developing firmware for next-generation semiconductor products, emphasizing innovation, hardware/firmware co-engineering, and the integration of AI-assisted engineering workflows to accelerate product development and improve efficiency. The candidate will work with embedded systems, C/C++/SystemC/Python, and collaborate across multiple engineering disciplines to deliver high-quality silicon. | — | 5 |