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.

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.

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.

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.

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.

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.

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.

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.

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.

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.