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 |
|---|---|---|
| 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 |
| AI Software Solutions Engineer Senior AI Software Solutions Engineer focused on integrating and validating Vision AI and Gen AI solutions on Intel hardware. Responsibilities include performance optimization, benchmarking, technical advising, and customer integration, with a focus on the OpenVINO toolkit and edge AI. | ServeAgent | 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 – 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 |
| Research and Pathfinding Internship: AI Workload Compiler Optimization for CPU and GPU Internship role focused on advancing compiler infrastructure for heterogeneous AI workloads by developing novel optimization techniques for AI kernel compilation targeting both CPU and GPU architectures using MLIR/LLVM. Explores algebraic optimization, hierarchical scheduling, and cost-driven pruning for high-performance fused kernels. | Serve | 8 |
| AI Frameworks Software Engineer – Model Compression Algorithm Develop Intel Neural Compressor product and related tools, optimize for Intel AI platform (CPU, GPU, AI Accelerator). Research and implement quantization and compression techniques for LLMs and text-to-image/video generation models. Track and explore cutting-edge directions in efficient model deployment and inference/finetuning acceleration. | ServePost-train | 8 |
| 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 |
| Graduate Talent (VDI & Media AI Systems Engineering) This role focuses on optimizing and evaluating AI workloads, particularly for VDI and Media AI systems, on Intel Xeon CPU platforms and AI accelerators. Key responsibilities include benchmarking inference performance, supporting AI PoCs, enabling GPU-accelerated inferencing, and creating automation pipelines for AI service deployment. The role involves working with AI frameworks and AI workloads like Vision-Language Models, Generative AI, and Agentic AI, with a focus on inference performance and resource utilization. | ServeAgent | 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 |
| AI Software Solutions Engineer AI Software Solutions Engineer focused on Vision AI and Gen AI applications on Intel hardware, optimizing AI model performance and enabling Edge AI adoption in various industries. Responsibilities include integrating and optimizing AI solutions, ensuring production readiness, performing benchmarking with OpenVINO, and supporting customers/ISVs. | Serve | 7 |
| Software Enabling and Optimization Engineer This role focuses on optimizing AI software solutions for Intel's AI PC environments by collaborating with customers and ecosystem partners. The engineer will develop, integrate, test, tune, and debug software, leveraging tools like OpenVINO, Llama.CPP, Ollama, LMStudio, and vLLM, to enhance product adoption and differentiation. Key responsibilities include researching and prototyping software, evangelizing Intel's tools, leading pre-enabling efforts, and identifying key workloads for future product designs. | Serve | 7 |
| AI Software Engineering Intern AI Software Engineering Intern role focused on designing, developing, and optimizing AI algorithms and frameworks, with contributions to implementation, tuning, applied research, and prototyping for scalable AI solutions. The role involves working with computer vision, machine learning, and deep learning, and requires programming ability in Python and familiarity with ML frameworks. | ServePost-train | 7 |
| Triton Compiler Engineer The role involves developing Triton front-end and back-end components for Intel GPUs, focusing on creating efficient custom GPU kernels for AI workloads. Responsibilities include defining, designing, developing, testing, and maintaining software tools for domain-specific programming languages, working with hardware design teams and compiler development communities, and participating in language standards groups. The ideal candidate has experience in GPU programming for AI, C/C++/Python, compiler stages, code generation, optimization, and GitHub. Familiarity with PyTorch attention techniques for transformer models is also required. | 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 |
| AI Framework Software Intern Internship role focused on optimizing AI software solutions, including algorithms, frameworks, and architectures for computer vision, machine learning, and deep learning. Responsibilities include researching model quantization and graph transformation, evaluating LLM performance on Intel platforms, analyzing software bottlenecks, and assisting in implementing and tuning AI models for performance and accuracy. The role emphasizes hardware-software integration and collaboration for scalable AI solutions. | Serve | 7 |
| AI Validation, Workload Enabling and Tools Engineer AI Software Solution Engineer focused on validation and workload enabling for Intel platforms. The role involves optimizing AI model efficiency, accuracy, and performance by working with frameworks, algorithms, and hardware. Key responsibilities include enabling AI models on Intel GPUs, debugging deep learning models, conducting benchmarking and validation, developing automation pipelines, and evaluating AI models against competitors. The role also involves customer engagement for enablement and performance improvements, and translating AI workload needs into architecture insights. | ServeEval Gate | 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 |
| Applied AI (Frameworks) Engineer Engineer to work on Intel's AI frameworks software stack, focusing on design, development, and optimization of features for AI accelerators and GPUs. This includes ML kernel development, enhancing training and inference capabilities, and contributing to open-source AI frameworks like PyTorch, Tensorflow, and JAX. | Serve | 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 |
| Senior System Debug Engineer Senior System Debug Engineer responsible for the design and development of integrated AI solutions for deep learning and machine learning systems, focusing on hardware, software, firmware, board, and silicon components. The role involves AI systems architecture, defining product specifications, and impacting the AI product roadmap. It requires developing new methods in various AI/ML domains, leading design and implementation of component-level choices for performance and cost, defining system integration approaches, and delivering end-to-end technical solutions. The role also includes debugging and ensuring the reliability of AI infrastructure, collaborating on next-generation requirements, and influencing AI roadmap with customer knowledge. | Serve | 7 |
| AI GPU Arch Perf Optimization Intern This internship focuses on optimizing core GPU compute kernels for AI and numerical workloads, validating GPU IP with AI inference and training workloads, and performing GPU performance profiling and analysis. The role involves hardware/software codesign for next-generation Intel GPU and AI accelerator platforms. | Serve | 7 |
| 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 modeling to improve next-generation Intel GPU and AI accelerator platforms. | Serve | 7 |
| AI GPU Arch Perf Optimization Intern This internship focuses on optimizing core GPU compute kernels for AI and numerical workloads, validating GPU IP with AI inference and training workloads, and performing GPU performance profiling and analysis. The role involves hardware/software codesign for next-generation Intel GPU and AI accelerator platforms. | Serve | 7 |
| AI Software Engineer Intern Intern role focused on optimizing CPU kernels for AI workloads, including LLMs and multimodal models, using Intel architecture features and performance profiling tools. Integrates custom operators into production frameworks. | Serve | 7 |
| Applied AI Frameworks Engineer This role focuses on designing and developing features for Intel's AI frameworks software stack, specifically optimizing inference serving frameworks (like SGLang, vLLM) and ML frameworks (PyTorch, Tensorflow, JAX) for Intel's AI accelerators and GPUs. The engineer will enhance deep learning training and inference capabilities, identify optimization opportunities, and contribute to open-source communities. | Serve | 7 |
| Applied AI Frameworks Engineer Engineer to design and develop features for Intel's AI frameworks software stack, focusing on inference serving frameworks (SGLang, vLLM) and ML frameworks (PyTorch, Tensorflow, JAX). The role involves optimizing software for Intel's AI accelerators and GPUs, enhancing training and inference capabilities, and contributing to open-source communities. | Serve | 7 |
| Efficient AI Solutions Engineering Intern Internship role focused on developing efficient algorithm solutions for accelerating large AI models and agentic systems, with an emphasis on deployment in resource-constrained computing platforms. | ServeAgent | 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 Compiler and Library Engineer - Intern AI Compiler and Library Engineer Intern at Intel, contributing to the design, development, and optimization of AI software solutions, including algorithms, frameworks, and architectures. Focuses on implementing and tuning models for performance and accuracy, applied research, and hardware-software integration, with potential involvement in system-level deployment. The role emphasizes learning and skill development through hands-on projects supporting Intel's business goals. | Serve | 7 |
| AI framework vLLM optimization Intern AI Software Engineering Intern focused on designing, developing, and optimizing AI software solutions, including algorithms, frameworks, and architectures. Key responsibilities include tuning deep learning models, exploring model compression techniques (quantization, pruning), and conducting applied research for system-level deployment and hardware integration. The role emphasizes practical engineering applications and inference optimization. | Serve | 7 |
| AI Software Engineer Intern AI Software Engineer Intern role focused on the design, development, and optimization of AI software solutions, including algorithms, frameworks, and architectures. Responsibilities include implementing and tuning models, applied research, hardware-software integration, and system-level deployment. The role involves learning and applying knowledge in areas like computer vision, machine learning, and deep learning, with a focus on performance and accuracy. | ServePost-train | 7 |
| Workload optimization intern This intern role focuses on optimizing deep learning models and their deployment for Intel GPUs/CPUs. Responsibilities include performance tuning, debugging accuracy and memory issues, developing deployment frameworks (e.g., using vLLM), and creating high-performance kernels. The role involves technical syncs with architects and transforming innovative ideas into production-ready features. | 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 |
| 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 |
| 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 Frameworks Engineer (OpenVINO, GenAI) AI Frameworks Engineer focused on optimizing generative AI models for efficient inference using the OpenVINO toolkit across Intel hardware, from edge to cloud. This role involves deep dives into generative model architectures and the OpenVINO ecosystem, implementing new features, and optimizing performance for state-of-the-art inference solutions. | Serve | 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 Framework Engineering Intel CAIGC is seeking an AI Framework Engineer to advance AI technologies and software ecosystems, focusing on enabling the AI PC ecosystem and delivering full-stack GPU IP solutions. The role involves research, validation, performance evaluation, and optimization of AI models and frameworks on Intel platforms. | 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 |