Intel
- HQ
- Santa Clara, US
- Founded
- 1968
- Size
- 120,000+
- Website
- intel.com
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 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 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 |
|---|---|---|
| GPU Software Engineer Software Engineer role at Intel focused on building the AI PC ecosystem and full-stack GPU IP. The role involves collaborating with OS vendors and ISVs to enable differentiated AI experiences, focusing on NPU IP and GPU IP across Intel's product portfolio. The mission is to reshape end-user experiences with AI and drive high-performance computing with GPUs. | — | 5 |
| Sr. Edge Builder Ecosystem Specialist (Contract) This role focuses on building and scaling an ecosystem of Solution Integrators (SIs) to drive the adoption and deployment of Edge AI systems in the education segment across Southeast Asia. The specialist will design the channel engine, recruit and enable SIs, and collaborate with partners to create repeatable reference architectures and bundled solutions. While not coding, the role requires understanding Edge AI complexities to advise partners. | — | 5 |
| Infrastructure and DevOps Engineer Student Student/Intern role focused on DevOps and Infrastructure Engineering, with exposure to AI tools and technologies. The role involves hands-on development in Python for various DevOps environments (GitHub, Jenkins, K8s, Azure Cloud) and exploration of other programming languages like JavaScript, TypeScript, and Node.js. While AI is mentioned as a tool to enhance work, the core responsibilities are in DevOps and infrastructure. |
| — |
| 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 |
| Tactical Planner Student Student role focused on tactical planning, cost savings, efficiency, process improvements, analysis, budget control, and procurement management within Intel's Client Validation Engineering organization. Requires economics, finance, or related studies, with AI tool usage and supply chain experience being advantageous. | — | 5 |
| SW Enabling and Optimization Engineer Software Enabling and Optimization Engineer role focused on optimizing software for Intel products, including AI frameworks, across various domains like Cloud, AI, HPC, Gaming, Graphics, and Edge computing. Responsibilities include development, integration, testing, debugging, and optimization of software, collaborating with customers and partners, evangelizing Intel's tools, and researching innovative solutions. Familiarity with AI frameworks and performance optimization is preferred. | Serve | 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 |
| Senior System Debug Engineer This role focuses on debugging and resolving complex system-level issues for Intel's AI GPU product roadmap, involving hardware, software, firmware, and silicon components. The engineer will lead root-cause analysis, manage the bug lifecycle, and collaborate with cross-functional teams to ensure efficient resolution of platform issues and customer escalations. While familiarity with ML frameworks and AI/ML deployment debugging is a plus, the core responsibility is system-level engineering and debugging. | — | 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 |
| IP Design Engineer intern Internship role focused on IP block design, supporting development flows, tools, and methodologies within Intel's Silicon and Platform Engineering Group. Requires Python, Git, CI/CD, SQL, and experience using AI coding tools with critical evaluation of their output. Preferred qualifications include web development, authentication, and AI agent familiarity. | — | 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 Development Engineer AI Software Development Engineer at Intel focused on developing content and datasets for AI-based graphics and next-generation rendering technologies like Super Resolution and Frame Generation. The role involves building scalable workflows for generating scenes, effects, and dataset content using AI tools and procedural methods, working closely with AI and graphics engineers. | Data | 5 |
| 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 building performance models to understand architecture-level behavior, contributing to hardware/software codesign for next-generation Intel GPUs and AI accelerators. | Serve | 5 |
| Pre-Silicon Verification Engineer (AI Accelerator) This role focuses on the pre-silicon verification of NPU AI accelerator products, involving the development of verification environments, test plans, and test cases using System Verilog Assertions (SVA) and formal verification methodologies. The primary deliverable is the validated design of AI accelerator components before they are manufactured. | — | 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 |
| User Engagement for Design GenAI Tools Student Student role focused on supporting the adoption of Intel's Design Generative AI tools through communication, community building, training, and feedback collection. The role involves user research, go-to-market execution, community management, and creating enablement assets to drive product adoption and gather user insights. | — | 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 |
| Verification Engineer Intern Internship role focused on SoC integration and verification, with an emphasis on learning and applying RTL/logic development, functional verification methodologies, and utilizing AI tools for automation. The role involves debugging, simulation, and collaboration within a hybrid work model. | — | 5 |
| AI Systems and Solutions Engineering Intern Internship role supporting the design and development of integrated AI solutions combining software, hardware awareness, and system-level concepts. Focus on learning AI systems development across the tech stack, from models to platform considerations, and contributing to prototyping and testing. | Serve | 5 |
| Hardware Design – AI Ecosystem Enabling Intern This intern role focuses on the hardware engineering aspects of AI ecosystem solutions, involving algorithm and framework design, AI software architecture, and optimizing AI solutions for hardware performance. It combines hardware engineering with AI/ML techniques for design efficiency and analysis, including implementing and tuning models, applied research, and system-level deployment. The role emphasizes AI augmenting engineering judgment. | Serve | 5 |
| Engineering Student for Intel Kiryat Gat (System Operations & AI Automation) Student role in a semiconductor manufacturing environment focused on data science and automation. Responsibilities include supporting daily operations, identifying and automating manual bottlenecks, and building AI-driven solutions for data analysis and predictive methodologies. Requires strong Python and SQL skills, analytical abilities, and willingness to learn manufacturing processes. | Data | 5 |
| Cloud and AI System Intern Research intern focusing on system reliability (RAS) and silent data error characterization and mitigation for AI and general-purpose compute platforms, including heterogeneous systems and large-scale server clusters. Responsibilities include designing and running experiments, analyzing logs, and prototyping detection/diagnosis methods to improve data integrity and platform robustness across the HW/FW/OS/runtime stack. | Serve | 5 |
| Cloud and AI System Intern This internship focuses on supporting the design, deployment, and troubleshooting of Cloud and AI systems and solutions, collaborating with hardware and software teams to optimize for real-world use cases. The role involves applying AI framework knowledge and systems engineering principles to ensure reliability and scalability. | Serve | 5 |
| Software Development Intern Software Development Intern role focused on AI-enhanced requirements engineering within Intel's Data Center Requirements team. The intern will contribute to intelligent automation, ML-driven data analysis, and AI-powered tool creation, leveraging web development, scripting, database, and data structure skills. The role emphasizes learning software development methodologies, debugging, automation, and data analysis. | — | 5 |
| AI Tools Development Intern Seeking an AI Tools Development Intern to support the design, development, and validation of AI tools, working closely with experienced engineers. This role involves hardware design activities, documentation, and collaboration with cross-functional teams. The intern will gain practical experience in hardware design processes and engineering tools. | — | 5 |
| Platform Validation Intern Intern role assisting Platform Validation Engineers with test case creation, automation scripting, and platform validation. The role involves developing AI solutions to improve script automation, execution, and debugging, ultimately supporting the quality of Intel Xeon products. | Data | 5 |
| Manager - VMaaS and CaaS Platforms - Enterprise and Labs Manager for VMaaS and CaaS Platforms, responsible for end-to-end ownership, reliability, and evolution of Intel's VMaaS and CaaS platforms across Enterprise IT and Labs. This role ensures stable operations, scalable architecture, and disciplined lifecycle management, while leading the transition through platform modernization, EOL migrations, and AI and automation driven operations. The role also involves people leadership, stakeholder management, and driving the adoption of AI and automation tools to improve operational efficiency. | — | 5 |
| System Lab AI Solution Graduate Intern Internship role focused on supporting the development and optimization of integrated AI solutions, collaborating with hardware and software teams to meet business and customer needs. Involves performance benchmarking, data analysis, and applying AI frameworks to refine solutions for AI use cases. | Serve | 5 |
| AI Performance Engineer Intern AI Performance Engineer Intern at Intel focused on analyzing silicon chip performance for deep learning, conducting large-scale benchmarks, designing automation tools for data collection and analysis, and researching new architectural features for GPUs, CPUs, and SoCs. The role involves system-level modeling, testing, characterization, and performance-per-watt analysis, with a strong emphasis on understanding deep learning models and frameworks. | Serve | 5 |
| Software Validation Intern This is an intern role focused on software validation for datacenter products, with a specific mention of using AI-assisted approaches to improve validation processes. The core function is software validation and testing, not direct AI model development or deployment. | — | 5 |
| Research Intern for Supernode Solution Research Intern focusing on system innovation, cost optimization, and GPU interconnect protocols for disaggregated AI supernode architectures. The role involves exploring architectural innovations, implementing distributed memory pooling, and researching Ethernet-native GPU interconnect protocols for large-scale AI inference and training clusters. Familiarity with RDMA, Mellanox tools, and LLM inference benchmarking methodologies is required. | ServePretrain | 5 |
| Data Analyst (Disability Hire) This role focuses on data analysis and developing AI/ML techniques for manufacturing processes within Intel Foundry. The primary responsibilities include developing data acquisition and analysis scripts, creating visualization dashboards, and exploring foundational AI/ML to improve pattern detection and automate analyses in manufacturing data. The role requires foundational understanding of AI/ML concepts and experience with data analysis tools and programming languages. | Data | 5 |
| AI Frameworks Engineer - Intern Internship role focused on the design, development, and optimization of AI software solutions, including algorithms, frameworks, and architectures. The role involves implementing and tuning models for performance, applied research, and hardware-software integration, with potential for system-level deployment. Familiarity with PyTorch, model profiling, and optimization is a plus. | Serve | 5 |
| Process Integration and Yield Engineer Process Integration and Yield Engineer at Intel, focusing on semiconductor manufacturing excellence. Responsibilities include defining roadmaps for technology transfers, establishing manufacturing workflows, analyzing data with statistical methods and ML, driving yield improvement, performing risk assessments, and developing automation tools using AI/ML techniques. Requires experience in semiconductor processing, data analytics, and yield improvement methods. | — | 5 |
| AI Frameworks Engineer - Intern Internship role focused on the design, development, and optimization of AI software solutions, including algorithms, frameworks, and architectures. The role involves implementing and tuning models for performance, applied research, and hardware-software integration, with potential for system-level deployment. Familiarity with PyTorch, model profiling, and optimization is a plus. | Serve | 5 |
| Middleware Development Engineer Develops Rust-based GPU middleware and runtime APIs for AI and HPC workloads, focusing on the oneAPI-rs ecosystem and open-source contributions. Bridges low-level compute with developer-friendly abstractions. | Serve | 5 |
| Web Runtime Optimization Engineer This role focuses on optimizing web runtime performance for Intel AI PCs by enabling and optimizing key Chromium components, including Web AI features, on Intel hardware (CPU, GPU, NPU). The engineer will work with internal hardware teams and the Chromium open-source community. | Serve | 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 |
| Graduate Talent (MPE DDG Product Development Engineer) This role involves a Product Development Engineer in Intel's Manufacturing and Product Engineering (MPE) group, focusing on ensuring testability and manufacturability of integrated circuits. Key responsibilities include evaluating and debugging test programs, analyzing manufacturability issues, performing data analysis and deploying AI tools to improve test metrics, developing support software, and providing first-level debug. The role requires a Bachelor's or equivalent degree in a related engineering field and prefers proficiency in AI tools and programming languages like Python. | Data | 5 |
| Graduate Talent (MPE DDG Product Development Engineer) This role involves a Product Development Engineer in Intel's Manufacturing and Product Engineering (MPE) group, focusing on ensuring testability and manufacturability of integrated circuits. Key responsibilities include evaluating and debugging test programs, analyzing manufacturability issues, performing data analysis and deploying AI tools to improve test metrics, developing support software, and providing first-level debug. The role requires a Bachelor's or equivalent degree in a related engineering field and prefers proficiency in AI tools and programming languages like Python. | Data | 5 |
| Cloud Software Developer Engineer Software Development Engineer focused on optimizing full-stack software for cloud deployment models, enabling Intel hardware features, with opportunities to specialize in AI/ML domains. The role involves designing, developing, validating, and debugging software solutions, collaborating with partners, and engaging in DevOps practices. | — | 5 |
| Platform Application Engineer (DPDK/Cloud-native/AI) This role focuses on supporting customers in developing high-performance packet processing applications on Intel Architecture using DPDK and related software stacks. It involves acting as a technical consultant, developing demonstrations, benchmarks, and reference designs, and providing customer-facing documentation and support. The role also requires transitioning bare metal applications to cloud-native architectures and leveraging AI/ML tools for productivity enhancement, debugging, and code generation. | — | 5 |
| Software Simulation Intern Software simulation intern role focused on developing and simulating platform simulators in a cloud environment to enable early firmware and software development for Intel's products. Requires programming skills in Python, C/C++ and knowledge of computer architecture. Experience with AI solutions is a plus. | — | 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 |
| Cloud Software Development Engineer Cloud Software Development Engineer at Intel, focusing on optimizing software stacks for Intel hardware in cloud environments. Specializations include data services, AI/ML, or open-source development. Responsibilities involve designing, developing, validating, and debugging software solutions, with a focus on performance optimization and customer support. | Serve | 5 |
| Edge Ecosystem Enabling Specialist (Contract) This role focuses on enabling ecosystem and industry partners to build solutions around Intel's Edge AI Systems, driving adoption in the APJ region. The specialist will identify ISVs, help them optimize AI models on Intel architecture using tools like OpenVINO, and onboard them into the Edge ISV Program. Key responsibilities include solution mapping, architecture advisory, program enablement, evangelism, regional business development, partner recruitment, commercial alignment, pipeline management, and localization. | — | 5 |
| Edge Ecosystem Enabling Specialist (Contract) This role focuses on enabling ecosystem and industry partners to build solutions around Intel's Edge AI Systems, driving adoption in the APJ region. The specialist will identify, onboard, and support Independent Software Vendors (ISVs) in optimizing their AI models on Intel architecture, acting as a bridge between Intel's engineering teams and partners. | — | 5 |
| Sr. Edge Ecosystem Enabling Specialist (Contract) This role focuses on enabling ecosystem and industry partners to build solutions around Intel's Edge AI platforms and technologies, driving adoption in the APJ region. It involves identifying, onboarding, and supporting Independent Software Vendors (ISVs) by mapping their needs to Intel offerings, coordinating technical resources, managing the ISV program, coaching on value propositions, and driving regional business development through partner recruitment and commercial alignment. The goal is to scale Edge AI applications and solutions built on Intel hardware. | Serve | 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 |