• Principal, Design Engineering

    Celestica (San Jose, CA)
    …Compute, Networking and Storage appliances, enabling high-performance networking and computing appplications at hyperscalers. + Optimize code for performance, ... Cloud Orcherstation: Prior experience of Ansible/Terraform and understanding of cloud computing architectures and services is the plus + Clear Communication: Proven… more
    Celestica (11/07/25)
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  • Senior AI Infrastructure Engineer - DGX Cloud

    NVIDIA (Santa Clara, CA)
    …leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual ... leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual… more
    NVIDIA (11/06/25)
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  • Senior Manager, IT SOX Compliance

    NVIDIA (Santa Clara, CA)
    NVIDIA is the world leader in Accelerated Computing . We are passionate about four markets: Gaming, Automotive, Enterprise Graphics and HPC/Cloud Datacenters; in ... to our traditional OEM business. We are well positioned as the 'AI Computing Company', and our GPUs are the brains powering Deep Learning software frameworks,… more
    NVIDIA (11/06/25)
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  • Senior Software Architect, Advanced Development

    NVIDIA (Santa Clara, CA)
    NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. With an outstanding legacy of innovation, driven by ... distributed AI and deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more.… more
    NVIDIA (11/06/25)
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  • Research Data Scientist

    Stanford University (Stanford, CA)
    …has made a strategic investment in Marlowe, a GPU-centric high-performance computing instrument designed to enable large-scale, data-intensive research. Supporting a ... process. It also demands the ability to leverage high-performance GPU computing to efficiently process and analyze large datasets. The successful candidate… more
    Stanford University (11/06/25)
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  • Lead Post-Silicon Validation Engineer

    NVIDIA (Santa Clara, CA)
    …of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing . More recently, GPU deep learning ignited modern AI - the next era ... of computing . NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that… more
    NVIDIA (11/06/25)
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  • Post Silicon Hardware System Integration Engineer'

    NVIDIA (Santa Clara, CA)
    …from inventing the GPU in 1999 to fueling breakthroughs in AI and accelerated computing today. We are a learning machine that thrives on tackling challenges that ... matter to the world. Join us and help define the future of computing . We seek an experienced Post-Silicon Hardware Engineer to join our Silicon Solutions Group. In… more
    NVIDIA (11/05/25)
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  • Senior Research Scientist, Post-Training LLM…

    NVIDIA (Santa Clara, CA)
    …areas. + 2+ years of experiences in machine learning, systems, distributed computing , or large-scale model training. + Proficiency in Python with hands-on experience ... background in computer science fundamentals: algorithms, data structures, parallel/distributed computing , and systems programming. + Proven ability to collaborate… more
    NVIDIA (11/05/25)
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  • Systems & Infrastructure Engineer Intern, Masters…

    LinkedIn (Mountain View, CA)
    …products on all of LinkedIn's internal and external data via self-serve computing , reporting solutions, and interactive querying + Search, Networks and Analytics: ... object-oriented skills. Suggested Skills: * Distributed Systems * Operating Systems * Cloud Computing As part of the application process for this role, after an… more
    LinkedIn (11/05/25)
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  • Sr. Director, Technical Program Management (AI/ML)

    Capital One (San Francisco, CA)
    …+ 9+ years of experience designing and building data-intensive solutions using distributed computing . + _At least 2 years of experience with the full ML development ... of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS + 5+ years experience… more
    Capital One (11/04/25)
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