• Senior ASIC Design Engineer

    NVIDIA (Santa Clara, CA)
    …ASIC Design Engineers to design and implement the world's leading SoC's and GPU 's. This position offers the opportunity to have real impact in a dynamic, ... the Design team, you will be responsible for the implementation of GPU sub-system modules. + Make architectural trade-offs based on features, performance… more
    NVIDIA (01/10/26)
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  • Technical Marketing Engineer - Genomics and Life…

    NVIDIA (Santa Clara, CA)
    …outstanding developers and scientists who enjoy working with the latest in GPU hardware and NVIDIA acceleration software! This role will collaborate closely with ... groundbreaking technologies to drive our internal benchmarking and validation of our GPU accelerated genomics workflows + Be the evangelist and champion to customers… more
    NVIDIA (01/10/26)
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  • Senior AI Engineer, NeMo Retriever - Model…

    NVIDIA (Santa Clara, CA)
    …and information retrieval. ​NVIDIA NIM provides containers to self-host GPU -accelerated inferencing microservices for pre-trained and customized AI models across ... optimize response latency and throughput for each combination of foundation model and GPU . NVIDIA NeMo Retriever is a collection of NIMs for building multimodal… more
    NVIDIA (01/10/26)
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  • Solutions Architect, Generative AI

    NVIDIA (Santa Clara, CA)
    …and deploy their own transformative applications using NVIDIA full AI stack, from GPU systems and CUDA to NeMo and Nemotron. The Generative AI Partners Enablement ... for partner-led customer projects, ensuring alignment to standardized and reproducible GPU -accelerated workflows. + Enable strategic partners to build their own… more
    NVIDIA (01/10/26)
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  • Senior Deep Learning Performance Architect

    NVIDIA (Santa Clara, CA)
    …experience + 6+ years of meaningful work experience + Strong background in GPU or Deep Learning ASIC architecture for training and/or inference + Experience with ... that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason… more
    NVIDIA (01/10/26)
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  • Senior Physical Verification Engineer, VLSI…

    NVIDIA (Santa Clara, CA)
    …What you'll be doing: + Responsible for support and debug of physical implementation GPU and SOC reticle-sized chips, coordinating with the PNR team to achieve SOL ... growing. Are you passionate about joining a best-in-class team driving the latest in EDA, GPU , and AI technology? If so, we want to hear from you! Your base salary… more
    NVIDIA (01/10/26)
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  • Senior ASIC Verification Engineer

    NVIDIA (Santa Clara, CA)
    …to deliver high-quality clocking and reset logic to various units in SOC and GPU ASIC. The complexity of the clocks and resets design has increased many folds. ... you'll be doing: + Own validation of Clocking structures in Tegra and GPU products from start to finish, including test plan development, automation, validation… more
    NVIDIA (01/10/26)
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  • Senior Product Manager, cuBLAS and cuSOLVER

    NVIDIA (CA)
    …looking for a passionate product manager to join the NVIDIA team building our GPU acceleration libraries for AI and HPC. This role is responsible for leading the ... in AI, HPC, or scientific computing + Strong technical foundation in GPU computing, CUDA, or parallel programming models + Excellent communication and presentation… more
    NVIDIA (01/10/26)
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  • Staff Software Engineer, AI/ML Infrastructure

    Google (Sunnyvale, CA)
    …languages such as C++. + Experience in Accelerators (ie, TPU or GPU ) Software/Hardware co-design engineering domain. + Experience in machine learning infrastructure, ... In this role, you will have exposure to integrated AI infrastructure systems ( GPU or TPU), from hardware to software design and workload management to developing… more
    Google (01/10/26)
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  • Senior Solutions Architect, Cluster Design…

    NVIDIA (Santa Clara, CA)
    …What you'll be doing: + Partner with internal engineering efforts in GPU cluster building and networking and convey architecture and guidelines information both ... but also complex, situational limitations to make the most performant and supportable GPU clusters possible + Work closely with field teams supporting customers to… more
    NVIDIA (01/10/26)
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