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 |
|---|---|---|
| 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 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Senior Middleware Development Engineer This role focuses on developing and optimizing communication libraries (Intel SHMEM, MPI, oneCCL) for high-performance computing (HPC) and AI systems, particularly for supercomputers like Aurora. The engineer will work on low-latency, high-bandwidth software for Intel GPUs and CPUs, collaborating with scientists and engineers to advance scientific computing and machine learning. | Serve | 5 |