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 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 |
|---|---|---|
| AI Research and Development Engineer (Physical AI) This role focuses on building the end-to-end stack for robotic intelligence, bridging high-level research and low-level performance optimization for physical AI. It involves training large-scale Vision-Language-Action (VLA) models and optimizing them for real-time deployment on edge hardware, including developing safety runtimes and model-agnostic inference APIs. | Post-trainServe | 9 |
| Neuromorphic/AI Research Scientist Research Scientist role focused on developing and benchmarking AI algorithms for Intel's next-generation neuromorphic architecture, targeting edge computing, signal processing, and autonomous systems. The role involves implementing and evaluating algorithms on neuromorphic hardware, validating the SDK, and presenting findings. |
| 9 |
| Neuromorphic/AI Research Scientist Research Scientist role focused on advancing neuromorphic computing technology for commercial adoption, involving algorithm design, prototyping, and evaluation for applications in robotics, signal processing, and autonomous systems on edge platforms. The role requires translating research breakthroughs into real-world products and collaborating with hardware/software teams. | ShipData | 9 |
| Neuromorphic Applications Researcher- Temporary Position Research role focused on developing and benchmarking AI algorithms and robotics applications for Intel's next-generation neuromorphic architecture, aiming to enable physical AI systems with groundbreaking performance and efficiency. The role involves evaluating applications on neuromorphic hardware, validating the SDK, and publishing results. | ShipServe | 9 |
| AI Software Engineer Intern Internship role focused on applied research and productization of Vision-Language Models (VLM) and Vision-Language-Action (VLA) models, including pre-training, fine-tuning, alignment, data pipelines, fusion strategies, action components, and model optimization for efficient deployment on Intel hardware. The role involves evaluating models and potentially publishing results. | Post-trainData | 9 |
| AI Algorithm Research Intern – Neuromorphic Computing AI Algorithm Research Intern focused on developing, implementing, and benchmarking algorithms for Intel's next-generation neuromorphic architecture to enable applications in edge computing, signal processing, and autonomous systems. The role involves contributing to Intel's neuromorphic SDK and publishing research findings. | Data | 9 |
| AI Algorithm Research Intern – Neuromorphic Computing Intern position at Intel's Neuromorphic Computing Lab focused on developing, implementing, and benchmarking algorithms for next-generation neuromorphic architectures. The role involves supporting application development, publishing research, and contributing to the neuromorphic SDK, with a focus on edge computing, signal processing, and autonomous systems. | Data | 9 |
| AI Algorithm Engineer Scientist AI Algorithm Engineer Scientist at Intel focused on generative AI, specifically for building next-generation code generation agents for GPU programming. The role involves research and development of ML models, algorithm optimization for CPUs/GPUs, and translating models into deployable products, with a focus on areas like audio, voice, speech, and vision processing. | AgentData | 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 |
| Senior Principal Engineer – AI Applied Research Senior Principal Engineer in AI Applied Research at Intel, focusing on applying AI/ML to logic IP design and semiconductor manufacturing. The role involves conducting applied research, developing proof-of-concept models, and implementing solutions to demonstrate business value, requiring expertise in deep learning, ML, RL, NLP, GNNs, and time-series. The position emphasizes leadership, influencing partners, and mentoring technical leaders. | Post-train | 8 |
| AI Research Engineer/Scientist (OpenVINO, NNCF) AI Research Engineer/Scientist to drive the development of the Neural Network Compression Framework (NNCF), focusing on research and development of SOTA compression algorithms for high-performance neural network inference optimization within the OpenVINO ecosystem. | Post-trainServe | 7 |
| Robotics Research Intern Robotics Research Intern at Intel focusing on advanced algorithmic development and robotics research for next-generation robotic technologies. The role involves researching, designing, and optimizing robotics algorithms, control systems, and AI/ML models, with a focus on enabling intelligent autonomous systems and innovative robotic applications. Collaboration with cross-functional teams to translate research into practical implementations is key. | Agent | 7 |
| Research Intern: Agent-CC System Research intern position focused on Confidential AI systems and Agent-CC solutions for hyperscale, involving LLMs, AI systems, and microarchitecture. Requires programming, foundational computer architecture, and AI math skills. | Agent | 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 |
| 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 |
| 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 |
| 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 |
| Quantum Computing Measurement Engineer This role focuses on quantum computing, specifically measuring and characterizing silicon spin qubits using cryogenic systems. It involves experimental design, data analysis, and collaboration to advance quantum processor technology. | — | 0 |
| Memory Research Scientist Memory Research Scientist at Intel in Tokyo, Japan, focusing on AI/HPC, compute architecture, memory technology, and advanced system architecture. The role involves leading technical engagement for the ZAM NEDO program, coordinating with partners and US-based teams, and driving applied research for Japanese government/commercial initiatives. Requires deep experience in semiconductors, full development lifecycle, and strong technical coordination between US and Japanese teams. | — | 0 |
| Quantum Computing Measurement Engineer This role is for a PhD-level Quantum Device Measurement Engineer focused on characterizing silicon spin qubits at millikelvin temperatures using electrical measurements and quantum circuit computations. The position involves designing experiments, analyzing device performance, and collaborating to advance Intel's quantum computing roadmap, operating within a research environment focused on semiconductor-based quantum systems. | — | 0 |