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 27% 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 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 |
| 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 |
| Verification Team Leader for the New AI Group Seeking a Verification Team Leader for Intel's AI group in Israel to manage a team, develop verification plans, oversee verification environments, and collaborate with design teams for cutting-edge AI hardware products. Requires 10+ years in VLSI chip verification, 4+ years in leadership, and experience with SoCs and AI applications. | Serve | 7 |
| GPU Compiler Engineer (m/f/d) (Fixed-Term Contract) The role involves designing, developing, and optimizing compiler functionality for GPU architectures, with a focus on improving performance and efficiency for AI and data center applications. This includes investigating new techniques, analyzing workloads, and collaborating with cross-functional teams. The position requires strong C/C++ skills and knowledge of LLVM internals or GPU/CPU compiler technologies. | Serve | 5 |
| System and Software Optimization Engineer This role focuses on performance evaluation and optimization of data center products, including AI workloads. The engineer will develop automation frameworks, build containers, and incorporate AI technologies into the performance and evaluation workflow. The role requires strong scripting, Linux, and virtualization experience, with a preference for experience with AI for optimizations and system-level debugging. | Serve | 5 |
| APTM Yield Analysis Senior Engineer / Team Leader Senior Engineer/Team Leader in Yield Analysis and Defects for advanced packaging technology. Drives yield and defect improvement using large datasets, advanced analytics, and machine learning. Identifies and resolves yield-limiting mechanisms in development and manufacturing. Leads efforts to improve manufacturing processes, test methodologies, and defect detection. Extracts insights from data, analyzes trends, develops solutions, and influences roadmaps. Partners with cross-functional teams, presents technical reports, and defines corrective actions. Leads and mentors teams. | Data | 5 |
| Yield Development Engineer This role focuses on yield development engineering in semiconductor manufacturing. The engineer will identify root cause yield limiters, perform statistical analysis, develop visualizations, and construct process development roadmaps. They will develop methods to consolidate and analyze big data sources, understand defect modes, and model yield. The role involves extracting insights from data using statistics, machine learning, and coding techniques, and developing systems to transform data into yield improvement actions. Responsibilities also include ensuring manufacturability, executing new product introductions, collaborating cross-functionally, performing fault isolation, and developing measurement recipes and equipment. | — | 5 |
| Software Research Engineer/Scientist Research Engineer/Scientist at Intel focusing on semiconductor manufacturing, specifically using machine learning and data analysis techniques to optimize design rules, process technology co-optimization (DTCO), and design for yield (DFY). The role involves collaborating with design and fab teams to develop manufacturable products on strict timelines, requiring a deep understanding of VLSI physical design, lithography, and software engineering. | Data | 5 |
| System and Software Optimization Engineer – Fixed Term Contract This role focuses on optimizing and validating the performance of Intel Xeon CPUs across various workloads, including AI, HPC, and databases, within data center environments. The engineer will design, automate, and execute performance tests, analyze results, and contribute to materials for tech press and sales, ultimately enhancing next-generation data center products. Experience with cloud, containers, virtualization, and infrastructure as code is essential. | — | 5 |
| Sr. CPU RTL Front End Methodology Engineer This role focuses on leveraging AI tools and methodologies to improve RTL coding and silicon development processes within Intel's microprocessor design. The engineer will provide technical leadership, develop strategies for RTL optimization, and collaborate with various design teams. While AI tools are used to enhance efficiency, the core deliverable is not an AI model or agent, but rather improvements in the CPU design process. | — | 5 |
| AI Developer Evangelist This role is an AI Developer Evangelist responsible for engaging with the developer community, creating technical content, advocating for developers within Intel, and driving adoption of Intel's AI platforms. The role requires a strong engineering background with hands-on AI/ML experience and excellent communication skills. | — | 5 |
| Senior IP Development Engineer Senior IP Development Engineer at Intel focused on software development, technical support, and process enhancement for Electronic Design Automation (EDA) tools. The role involves designing, developing, testing, and deploying multi-language software solutions, architecting complex software products, providing technical support to an engineering team, leading regression analysis, and driving continuous improvement initiatives. A key aspect is pioneering the integration of AI technologies like GitHub Copilot and optimizing CI/CD pipelines and quality assurance methodologies. | — | 5 |
| Edge AI Software Product Manager Product Manager for Intel's Open Edge Platform, focusing on AI Suites, Libraries, and Tools for Edge AI and Robotics solutions on Intel silicon. Responsibilities include product lifecycle management, defining product strategy, leading cross-functional teams, and supporting product development and adoption. | Ship | 5 |
| Senior Compiler Engineering Manager Senior Engineering Manager to lead and scale Intel's compilation technology strategy, focusing on AI workloads, heterogeneous computing, and performance portability. The role involves defining long-term direction, guiding teams, and driving delivery of compiler innovations for CPUs, GPUs, and accelerators. | — | 5 |
| AI Software Validation Intern The AI Software Validation Intern will support testing activities for the OpenVINO product, ensuring its high quality. This involves gaining hands-on experience with software validation processes, working with machine learning frameworks, and potentially AI model development. | Serve | 5 |
| Infrastructure and DevOps Engineer This role focuses on building and maintaining scalable CI/CD systems and infrastructure for wireless connectivity solutions. A key aspect is designing and implementing AI-driven DevOps solutions to improve developer productivity, such as failure analysis, pipeline intelligence, workflow automation, or agent-based systems. The role involves extensive work with Jenkins, Kubernetes, Elastic Stack, Prometheus, Grafana, Ansible, Python, and Bash in Linux environments. | Agent | 5 |
| Software Enabling and Optimization Engineer Software Enabling and Optimization Engineer at Intel, focusing on optimizing software solutions for Intel's products across AI, Cloud, HPC, Graphics, and Edge. Responsibilities include collaborating with customers and vendors, debugging complex issues, conducting code reviews, researching innovative solutions, and providing technical consulting. | Serve | 5 |
| DevOps & Cloud Infrastructure Engineer DevOps & Cloud Infrastructure Engineer to design, implement, and automate cloud-based solutions on the Azure platform. The team builds and provides the infrastructure powering the AI era across all DCG organizations, enabling scalable, secure, and innovative cloud solutions worldwide. Responsibilities include designing and maintaining scalable, secure, and automated cloud infrastructure on Azure, building and optimizing CI/CD pipelines, managing containerized environments, and developing automation scripts. Qualifications include a Bachelor's degree, strong background in IT infrastructure, Azure experience, CI/CD tools, Kubernetes, Docker, Python, and experience with AI tools and technologies. | — | 5 |
| Partner Marketing Support Intern Intern role supporting marketing strategies, MDF management, sales operations, and reporting. Requires analytical skills, advanced Excel, Power BI, Salesforce, and intermediate AI knowledge. | — | 5 |
| 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 |
| RTL Design & Verification Engineer – AI This role is for an RTL Design & Verification Engineer focused on developing hardware for AI acceleration. The engineer will be involved in microarchitecture definition, RTL design, and verification using SystemVerilog/UVM, with a focus on AI-focused IPs. The role also involves adopting AI tools within the chip development flow. | — | 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 |
| AI SoC Design Engineer This role focuses on the design and implementation of AI System-on-Chip (SoC) hardware, including RTL design, microarchitecture, and integration. The engineer will collaborate with various teams to meet functional and performance goals for next-generation AI computing platforms. | — | 5 |
| Technical Sales Intern This is an intern role in technical sales focused on Intel technologies, including AI frameworks and concepts. The intern will assist with technical sales activities, support solution design, engage with customers, and collaborate with sales and engineering teams. While AI knowledge is beneficial, the core function is sales support and customer engagement, not direct AI model development or research. | — | 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 |
| Technical Sales Intern This role supports sales enablement and AI-driven efficiency improvement by building training materials for sales teams and applying AI tools to analyze market data. The intern will use AI tools for social listening, live-stream data analysis, and exploring AI-based workflows to reduce manual work. | — | 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 |
| Manufacturing Quality and Reliability Engineer This role focuses on manufacturing quality and reliability engineering, ensuring products meet high standards. It involves overseeing inspection and testing, conducting quality assessments, developing performance indicators, driving process improvements, and managing excursions. A key responsibility is analyzing data using statistics and machine learning to identify insights and disposition products. The role requires expertise in reliability fundamentals, semiconductor physics, and data analysis, with a preference for experience in leading quality improvement initiatives and communicating with diverse stakeholders. | Data | 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 |
| AI Software Development Engineer AI Software Development Engineer at Intel, focused on building and debugging AI/ML systems, including prompt engineering, tool calling, and LLM-based workflows. The role involves designing, developing, and testing software for decision-making and analytics, with a focus on AI applications. Experience with C#, SQL, and AI concepts like RAG is required, with preferred experience in .NET, AI application design, and containerization. | Agent | 5 |
| Embedded WiFi/Network DevOps Developer Student Student/Intern role focused on DevOps and CI/CD for embedded systems, with a secondary focus on developing AI-based tools and gaining experience with AI infrastructures. The role involves Jenkins, Groovy, Linux, Bash, Docker, QEMU, Grafana, Prometheus, Ansible, ELK stack, and Kubernetes. | — | 5 |
| NPU Software Development Internship Internship role focused on supporting the development of an NPU Cost Model as part of the NPU Compiler, involving AI software solutions for computer vision, machine learning, and deep learning. | Serve | 5 |
| NPU Software Development Internship Internship role focused on supporting the development of an NPU Cost Model as part of the NPU Compiler, involving AI software solutions for computer vision, machine learning, and deep learning. | Serve | 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 |
| AI Software Engineering Intern Internship role focused on contributing to the oneDNN open-source project, which optimizes neural network performance on Intel hardware. The intern will develop new features and algorithms, focusing on low-level performance tuning, parallel programming, and hardware optimization for CPUs, integrated graphics, and discrete GPUs. | Serve | 5 |
| Technical Sales Graduate Intern This is a graduate intern position in technical sales focused on providing technical expertise, designing solutions, and engaging with customers to drive the adoption of Intel technologies. The role involves building foundational technical and sales skills, developing demonstrations, and documenting best practices. While familiarity with AI frameworks and fundamentals is required, the core function is technical sales support, not direct AI/ML model development or deployment. | — | 5 |
| Government Business Development Manager This role is a Government Business Development Manager focused on driving Intel's business growth by fostering strategic engagements with senior leaders and technology decision-makers. The individual will advocate for Intel's products and solutions, develop advanced solutions for customer challenges, and position Intel as a trusted advisor across enterprise, cloud, and public sector segments. While AI is mentioned as a proficiency area, the core responsibilities are in business development, sales, and strategic relationship management, not in building or shipping AI models or systems. | — | 5 |
| Deep Learning System Validation Engineer This role focuses on validating and developing hardware structures and interfaces to accelerate deep learning hardware and software performance for AI systems. It involves developing test plans, leading pre- and post-silicon activities, and collaborating with product and design teams to define next-generation requirements and influence the AI product roadmap. The work impacts AI solutions in both on-device and data center deployments. | Serve | 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 |