Jobs
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Machine Learning Hardware Architect, Hardware, Software Co-Design, Google Cloud”. A match may be a passing mention rather than the job itself. Titles only.
11 roles
…As a Machine Learning Hardware Architect within the Co-design team, you will serve as a technical lead bridging model architecture innovation and next…
…Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare…
…As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from…
…of Artificial Intelligence/Machine Learning (AI/ML) workloads on Tensor Processing Unit (TPU) hardware. You will collaborate closely with design and verification engineers in…
…for cloud based distributed training for deep learning workloads (e.g. Pytorch dataloader, or sharding) with hardware-in-loop. Experience can be concurrent. Apply…
…In this role, you'll design, develop, troubleshoot, and debug software programs for databases, applications, tools, networks, and other cloud infrastructure components. Your expertise…
…Proven experience in architecting and managing large-scale AI/ML workloads in a production environment. Expertise in cloud compute design, specifically within Google Cloud…
…coding, and running block level simulations. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning…
…Deep Learning, Machine Learning, 3D Design/Simulation frameworks, while has developed related Cloud applications. Able to work independently and possess excellent communication skills to…
…We are responsible for designing and managing the software, hardware, and Machine Learning (ML) systems infrastructure that power essential Google services such as Search…
…using C++ and Python; machine learning, multithreading; x86 architecture; and software performance tuning and optimization, robotics software frameworks, different compute modalities (CPU, GPU, FPGA…