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 14% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $122k–$414k (avg $253k).
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 |
|---|---|---|
| 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 |
| 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 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 |
| 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 |
| 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 |