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Podtech Data Centers Inc., the employing entity, is a proud member of the IREN Group and we are currently looking to hire a Structured Cabling & Fiber Optic Technician Lead to join our Prince George site! IREN is a…
Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from…
The VP Product will play a pivotal role in shaping the future of our products. You will be responsible for driving product vision, strategy, and execution, ensuring that our offerings not only meet but exceed market…
As a Sales Engineer, you'll architect high-performance storage solutions that enable customers to achieve their boldest ambitions. Work across finance, pharmaceuticals, education, and physical AI—designing systems…
Why join Upscale, Inc. Upscale, Inc., is building the high-performance infrastructure powering the next generation of artificial intelligence. Backed by over $500M in funding and rapid global adoption, we are scaling…
Owns and improves relationships with AI compute providers, coordinating onboarding, capacity, and incident response to ensure reliable global AI infrastructure delivery.
Designs and optimizes GPU-based cloud solutions for AI/ML workloads on Vultr’s platform, collaborating with customers and internal teams to deploy high-performance infrastructure.
1. 高性能存储方案调研、选型与深度定制：结合业务场景（具身智能训练/推理），评估并引入合适的存储技术（如 3FS、JuiceFS、Alluxio 等），进行深度二次开发与性能调优。重点优化 FUSE 客户端、元数据服务及存储引擎，完善基于对象存储的缓存机制，结合 IB/RoCE 高性能网络，实现低延迟、高吞吐的数据访问能力，消除 AI 场景下的 I/O 瓶颈。 2. 异构资源存储优化：探索并落地 GPUDirect…
Senior network engineer leading Ethernet and InfiniBand fabrics in a high-performance computing and AI environment, designing, maintaining, and troubleshooting low-latency networks for distributed workloads.
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based…
DDN has been a trusted name in high-performance data storage for over 25 years, with technology deployed across 48 of the world's top 100 supercomputers. That long track record now sits at the centre of one of the…
Lead storage software architecture for Lambda's AI cloud infrastructure, designing and scaling petabyte-scale distributed storage systems across file, block, and object protocols. Day-to-day involves technical leadership, mentoring senior engineers, and collaborating cross-functionally to optimize storage for AI/ML workloads. Core technologies include C/C++/Go/Rust, NFS/NVMe-oF/S3, RDMA, and high-
Designs and develops high-performance distributed storage software for Lambda's AI cloud infrastructure, working with file, block, and object storage protocols (NFS, S3, iSCSI) and distributed systems to power AI training and inference workloads.
We are currently seeking candidate for Pre-Sales Solutions Architect – India, to join our dynamic team of passionate customer-enabling technologists ! The ideal candidate will have a deep understanding of AI & HPC…
At d-Matrix , we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is…
Leads the GPU hardware product roadmap at Lambda's AI cloud infrastructure company, managing NVIDIA platform introductions (B200, H200), defining node and cluster configurations with InfiniBand fabrics, and translating customer demand into fleet investment decisions. Works directly with NVIDIA and ODM partners while collaborating with internal engineering teams.
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like…
DDN is expanding our Enterprise AI offerings to include the integration of industry leading technologies with DDN Infinia and DDN EXAScaler storage. These solutions will be optimized for inference and RAG workloads and…
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