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Job Req ID: 23929 About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
$132,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Similar Jobs (5) Senior Software Engineer, AI Developer Tools - Cloud Software locations 2 Locations time type Full time posted on Posted 30+ Days Ago Developer Technology Engineer, Quantum Computing locations 6 Locations time type Full time posted on Posted 30+ Days Ago System Software Engineer, Data Center Networking - Cloud Services AI locations US, CA, Santa Clara time type Full time posted on Posted 29 Days Ago.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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The premier provider of advanced Server Building Block Solutions for 5G/Edge, Data Center, Cloud, Enterprise, Big Data, HPC and Embedded markets worldwide. Find even more open roles in Ethical Hacking, Pen Testing, Security Engineering, Threat Research, Vulnerability Management, Cryptography, Digital Forensics and Cyber Security in general - ordered by popularity of job title or skills, toolset and products used - below.
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Our past successes include building chips for all the cloud hyperscalers globally - Amazon, Facebook, Google, Microsoft, Alibaba, Tencent along with enterprise and mobile operators like China Mobile, Cisco, Nokia, Ciena, Reliance Jio, Verizon, AT&AT. We are recognized leaders in the mixed signal, DSP connectivity space, now applying our skills to next generation AI.
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FedML's researchers and software engineers and product teams are busy developing the next-generation FedML platform for machine learning and artificial intelligence and we're looking to grow our team with skilled professionals who bring fresh ideas from all areas, including machine learning and its applications, computer vision, natural language processing, large-scale system design, distributed/cloud computing/systems, MLOps, security/privacy, mobile/IoT systems, and networking.
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This position offers the opportunity to have a real impact on multiple product lines including consumer graphics, self-driving cars, HPC, cloud computing, and AI! At Nvidia, we have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.
$128,000 - $258,750 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Take part in prototyping, crafting, and developing cloud infrastructure for NVIDIA.
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Experience with cloud computing services (AWS, Azure, GCP) and their data-related services. The company is a leading provider of cloud-connected medical devices, personal health care devices, and home-based tests and is at the forefront of the digital health revolution.
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Minimum of 5 years of hands-on data engineering experience using distributed computing approaches (Spark, Map Reduce, DataBricks) Proven track record of successfully designing and implementing cloud-based data solutions in Azure Deep understanding of data modeling concepts and techniques.
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Proficiency in at least two of the following open-source database management systems: MongoDB, Cassandra, MySQL, PerconaXtraDB Cluster, MariaDB Galera Cluster, PostgreSQLExperience working with hyper-scale cloud providers (AWS and/or Azure, GCP) and running at scale database environments on virtual computing environments (Amazon EC2, Azure VM)Experience with Cloud database technologies such as AWS RDS, AWS Keyspaces, Azure SQL/CosmosDB, MongoDB Atlas, and Datastax Astra.
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The Cloud Native Infrastructure team is part of the core Technical Infrastructure engineering team of ByteDance R&D. The team implements and manages a Kubernetes-like Cloud-Native Orchestration framework and cluster management system to host microservices, serverless applications, big data processing, machine learning, distributed storage services, and edge computing platforms for the company.
$112,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Some of the topics covered by team on a regular basis include Cloud Computing, Semiconductors, Software, IT Services or Emerging Topics such as Artificial Intelligence, Machine Learning, and Blockchain.
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Proficient in cloud computing and data processing infrastructure and tools: Kubernetes, Airflow (or equivalent), Spark, Hive, SQL. Proficient in cloud computing and data processing infrastructure and tools: Kubernetes, Airflow (or equivalent), Spark, Hive, SQL.
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AWS services for High Performance Computing (HPC) help customers easily and cost-effectively use the cloud for traditional HPC applications, like genomics, life sciences research, financial risk analysis, computer-aided design, and seismic imaging, to the emerging applications like machine learning, deep learning, and autonomous vehicles.
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