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About the role As a Customer Success Engineer at Together AI, you will serve as the named technical owner for one of our most strategic customer relationships. You will be the primary technical point of contact across…
Product Manager on the Together Cloud team owning day-to-day feature work across AI infrastructure products — GPU clusters, managed storage, networking, and observability — with an early focus on observability and GPU clusters. Drives data-backed experimentation and cross-team delivery, with a path to owning a full product area within ~9 months.
Senior Network Engineer designs, deploys, and maintains global, multi-vendor networks for high-performance AI compute environments, troubleshooting across Linux, Kubernetes, and automation.
Senior Network Engineer designs, deploys, and maintains global, multi-vendor networks for high-performance AI compute environments, troubleshooting across Linux, Kubernetes, and networking layers.
ASRC Federal is searching for a Staff HPC Engineer to support InuTeq LLC out of NASA AMES, CA ASRC Federal, InuTeq proudly supports NASA's High-Performance Computing Services program with our site in Mountain View,…
Staff-level SDET building automated test frameworks, regression gates, and release-qualification pipelines for GPU inference and distributed LLM serving systems. Day to day involves benchmarking, fault injection, numerical-correctness validation, and CI/CD using Python, Kubernetes/Slurm/Ray, and InfiniBand/NCCL.
Define multi-generation network architecture for Cerebras' AI accelerator systems: set scale-up network roadmaps, derive fabric requirements from AI/HPC workloads, and drive topology, protocol, and switch-ASIC decisions from modeling and simulation through implementation and qualification. Stack spans Ethernet, RDMA/RoCE, InfiniBand, PCIe/CXL, and NCCL/MPI.
5C DATA CENTERS Join the Future of Digital Infrastructure Are you a passionate HPC Systems Administrator looking to make a meaningful impact? We're building the next generation of digital infrastructure powering…
You will lead end-to-end AI cluster deployments from facility readiness through customer handoff. You will coordinate rack integration, high-density cabling, facilities readiness, technicians, validation, and handoff…
1. 结合业务发展规划(训练/推理)，负责AI算力系统(GPU/CPU/网络设备/存储等)的选型评估与技术路线规划；跟踪行业前沿硬件动态，为AI硬件引入决策提供技术输入； 2. 负责算力系统引入的前置评估与验收，制定并执行硬件验收测试方案，覆盖性能基准、压力稳定性、RAS特性、多机训练/推理单集群多品牌机器混部场景测试，识别潜在风险点并推动问题闭环； 3.…
Senior engineer who deploys and runs high-density GPU AI clusters in a Johor Bahru data center: bare-metal OS provisioning, InfiniBand/RoCEv2 network fabric setup, GPU diagnostics and burn-in testing, then ongoing monitoring, troubleshooting, and SLA-driven maintenance. Core stack: Linux (Ubuntu/RHEL), CUDA, BGP/VXLAN, IPMI/Redfish.
Mission As a Sr./Staff Forward Deployed Engineer focused on AI Infrastructure at Groq, you will work at the frontier of large-scale AI systems, taking complex customer infrastructure programs from requirements to…
Cornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level…
Designs and secures high-performance computing environments for intelligence missions, ensuring compliance with DoD security standards and mitigating vulnerabilities in systems running Red Hat, CentOS, and SUSE.
Design, secure, and maintain high-performance networks for intelligence missions, configuring Cisco/Juniper gear, firewalls, and load balancers while ensuring DoD compliance.
Designs, secures, and maintains enterprise networks for intelligence missions, focusing on Cisco/Juniper hardware, firewalls, and high-performance computing infrastructure.
Integrates and maintains high-performance computing systems for intelligence missions, working with multi-vendor HPC clusters, storage, and networks under strict government policies.
Integrates and maintains high-performance computing (HPC) systems and clusters for intelligence community missions, working with Linux/UNIX, parallel storage, and multi-threaded software in a secure DoD environment.
Maintains and secures high-performance computing systems for intelligence missions, including Red Hat/CentOS/SUSE servers, Lustre/GPFS storage, and Infiniband/Slingshot networks, while adhering to DoD security policies.
Maintains and optimizes high-performance computing systems for intelligence missions, including Linux/Unix servers, storage clusters, and network interconnects.
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