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We are looking for a Solution Architect or Data Scientist to join the NVIDIA AI Specialist team focused on Machine Learning, Deep Learning, and Accelerated Data Analytics. and sparks-rapids) , Natural Language Processing and Large Language Models (NVIDIA NEMO ), Logistics and Route Optimization (NVIDIA CuOpt ), Recommender systems (NVIDIA Merlin ) and Generative AI technologies (AI Foundations.
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NVIDIA is looking for creative design verification specialists to join us in architecting world class crypto accelerator IPs. We are a team responsible for building world-class security IPs to accelerate various cryptographic algorithms for NVIDIA GPU and Tegra SOC.
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NVIDIA is looking for a Senior Site Reliability Engineer (SRE) to join its cloud service team for supporting, triaging, and building generative AI-powered visual applications. NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years.
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More recently, NVIDIA has orchestrated the development and adoption of culture-changing technologies in Artificial Intelligence and Cryptography. We collaborate with a broad cross section of teams at NVIDIA ranging from DL research teams to CUDA Kernel and DL Framework development teams, to Silicon Architecture Teams.
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NVIDIA is seeking an outstanding Senior ASIC Verification Engineer to verify the design and implementation of the world’s leading SoC's and GPU's. As a Senior Verification Engineer at NVIDIA, you will be responsible for verifying the design, architecture and micro-architecture using advanced verification methodologies.
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Ideally, holds certifications such as NVIDIA Certified Solutions Architect (NCSA) or NVIDIA Deep Learning Institute (DLI) certifications, along with a Bachelor's or Master's degree in computer science, engineering, or a related field.
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Similar Jobs (5) Senior ASIC Design Engineer, Memory Controller locations US, CA, Santa Clara time type Full time posted on Posted 11 Days Ago Senior ASIC Design Engineer locations US, CA, Santa Clara time type Full time posted on Posted 11 Days Ago About Us 0:00 / 3:32 NVIDIA is a Learning Machine.
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HPC Nvidia GPU GenAI LLM MLOps AIML NLP. This is a highly specialized role with deep experience with High Performance Computing, Storage, Nvidia GPU Infrastructure compute grid, GenAI, LLM and MlOps.
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The NVIDIA Clocks Team is looking for an ASIC Verification engineer to validate CPU, GPU and SOC clocks design. Perl, Python and NVIDIA custom compilers and tools. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
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Knowledgeable in Supermicro, Dell RP series servers (preferred), HPE servers, NVIDIA DGX servers (a plus), Arista and Mellanox networking HW. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics.
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NVIDIA is seeking hardworking and creative Senior Memory Controller Verification Engineer for our Tegra SoCs! Collaborate with NVIDIA memory controller designers and DRAM vendors to bringup/debug challenging issues related to the next generation of LPDDR and DDR memoriesEnsure code and functional coverage of all the RTL which you will verify.
$128,000 - $258,750 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Foster strong business relationships with key Energy delivery partners, ensuring a clear strategy is defined to enable them to provide NVIDIA solutions. As a key member of our Global Energy Team, you will lead business relationships with key Energy delivery partners, including Global Systems Integrators, Service Delivery Partners, Cloud Service Providers, and System OEMs. Together, we will enable these partners to expertly lead with NVIDIA AI-enabled solutions for the Energy industry.
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You will work closely with FSI's, OEM, GSI’s, and ISV’s, to envision, craft, and execute go-to-market plans that will serve customer requirements and adoption of the NVIDIA products within your defined accounts.
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As a Senior Digital Design Verification Engineer at NVIDIA, you'll verify the design and implementation of our cutting edge SerDes IPs. This ground breaking technology will enable and accelerate gaming, artificial intelligence, deep learning, and autonomous driving.
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Experience working with NVIDIA Infrastructure, DevOps and MLOps including but not limited to Docker/Containers, Kubernetes, and Data Center or Cloud AI deployments. We are looking for a Solution Architect or Data Scientist to join the NVIDIA AI Specialist team focused on Accelerated Data Processing and Accelerating Data Pipelines.
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