…and developing fundamental architectural changes for GPU delivery, health monitoring, triage automation, and diagnostic services. These are essential for running distributed AI/ML/HPC…

…Build, hire, and mentor a team of engineers, supporting their career growth and professional development. Manage a Subsystem design team with focus on architectural…

…experiences, increasingly enhanced by AI and generative AI. Thanks to Apple's unique integration of hardware, software, and services, engineers here get behind a…

…for Windows Server AI inferencing experiences. Turn complex infrastructure workflows into simple, guided experiences for administrators and developers. Partner with engineering on configuration, deployment…

…excellence of the systems that power high-performance AI and ML workloads. You will lead engineers working on cluster lifecycle, platform reliability, infrastructure automation…

…You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You…

…AI-Driven Validation – Applying AI learning/ML to improve validation/debug and log analysis productivity. AI- Driven code development – Use your coding skills to…

…AI/ML infrastructure or supercomputing environments. Knowledge of vendor ecosystems (e.g., NVIDIA, Dell, HP, Supermicro) and supply chain management. Certifications in hardware engineering…

…Develop prompt engineering strategies and retrieval-augmented systems (RAG) that make internal image and metadata corpora accessible and actionable to partner teams. Leverage AI…

…As Cloudflare expands its AI infrastructure and developer platform offerings, Solutions Engineers and SE Managers are increasingly expected to support customers evaluating AI-first…

Meta is seeking a Systems Engineer to join our team working on AI/ML initiatives supporting large-scale AI training and inference. Our servers…

…The framework we develop is powering AI experience for all major Microsoft products, such as Windows, Office, Microsoft 365, Bing, SQL Server, VSCode, Cognitive…

…and develop inference for cutting-edge model architectures, and build tools that help us understand and remove performance bottlenecks across different hardware and use…

…co-develop roadmaps bridging RDMA, storage, and AI/ML, staying ahead of training and inference advancements. Collaborative System Integration: Collaborate with hardware, software, and…

…Preferred Qualifications Experience with hyperscale cloud, AI/GPU infrastructure, data center capacity, or server, storage, and networking hardware. Experience leading NPI-to-scale transitions…

…transcode, AI/ML and other technologies to evaluate algorithms, develop functional and performance models and help architect state-of-the art hardware accelerator ASICs…

…The scope covers all server and rack assembly across all architectures and platforms, including compute, AI/ML accelerators, storage, and networking. The team designs…

…for new HPC AI/ML, general purpose compute, storage, and network hardware platforms throughout hardware NPI and deployment readiness. - Development and execution of functional…

…silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across…

…Familiarity with Apple development tools, Swift, or Objective-C. Experience building test infrastructure for systems at the hardware-software boundary, including firmware, drivers, or…

…develop bare metal firmware that drives neural network model execution across our custom ASIC-based ML Accelerator chips. Working at the intersection of hardware…

…found it! AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine…

…the hardware and software teams within all of Apple. You will be expected to own, drive and execute the full software development cycle - from…

…AI inference stack for RTX, RTX Pro and DGX GPUs, focusing on performance, stability, and scalability across various hardware architectures. Architecture and development of…

…The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google…