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Bridges quant research and high-performance computing by accelerating end-to-end ML model training at a quantitative trading firm — benchmarking workloads across GPUs/accelerators, optimizing distributed training, GPU kernels, and training infrastructure. Core stack: Python, C++, PyTorch/JAX, CUDA, NCCL.
Designs next-generation CPU networking architectures for AI/ML workloads, focusing on datacenter and emerging robotics/automotive applications using Ethernet, RDMA, and die-to-die interfaces.
Position Summary The Manager, Data Center Development is responsible for planning and managing the delivery of customer infrastructure across Cirrascale Cloud Services’ data centers and AI cloud platform. This role…
● 负责Scale-Up Switch配置与集群管控软件研发，包括交换机自动发现与纳管、拓扑及端口配置、转发策略与QoS下发、状态采集、配置一致性校验、批量升级和故障联动，建设统一、自动化、可观测的超节点管控平台。 ● 负责Scale-Up交换机软件设计、研发与交付，涵盖交换芯片SDK适配、端口与链路管理、转发与路由配置、QoS及拥塞控制、遥测与诊断、高可用和在线升级，保障交换系统高性能、稳定运行。 ● 参与Scale-Up…
负责高性能网络系统的架构设计与技术演进，围绕 RDMA网络、超节点 等核心技术，构建低延迟、高吞吐的网络基础设施，支撑 Agent时代的AI 推理和训练、分布式存储、KV cache等业务场景。作为网络架构师，推动技术选型、方案落地与团队能力建设。 核心职责 主导高性能网络架构的规划与设计，涵盖数据中心网络拓扑、RDMA 网络方案、集合通信优化等方向；…
Build and scale Oracle’s managed Kubernetes service (OKE), designing distributed systems for cluster lifecycle, networking, storage, and AI/GPU workloads while leading cross-team technical initiatives.
Leads development and begins architecting components of scalable, elastic distributed systems. Defines and enforces scalability requirements for owned components; optimizes code and data paths for high‑throughput,…
The Oracle Cloud Infrastructure (OCI) team offers the opportunity to build and operate massive-scale, integrated cloud services in a broadly distributed, multi-tenant cloud environment. OCI builds cloud products for…
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…
Staff engineer on Together AI's cloud team who sets the architecture for its GPU cloud platform: owning GPU and data-center network virtualization, the in-datacenter IaaS layer, and the global scheduling/control plane across dozens of data centers. Core stack is Go, Kubernetes, hypervisors/SDN, and cloud infrastructure tooling.
Senior engineer building the backend infrastructure for an AI acceleration cloud, including Kubernetes clusters, high-performance storage, and GPU virtualization across global data centers.
Principal Digital Design Engineer at Astera Labs designing high-performance connectivity solutions for AI infrastructure, using RTL, synthesis, and advanced CMOS nodes.
Principal Digital Design Engineer at Astera Labs in Taipei will architect and implement complex digital blocks for high-performance AI connectivity silicon, owning designs from micro-architecture through silicon bring-up. Core technologies: RTL design, Cadence/Synopsys flows, PCIe/Ethernet/DDR protocols, timing closure, DFT, and UVM verification.
Location: Waltham, MA, USA,, How to Apply Applicants must provide the following required materials in PDF format: Resume Cover letter that addresses the following questions: What was the most important lesson you…
Build and automate GPU fleets for AI training and inference, designing systems that provision, monitor, and heal thousands of accelerators autonomously.
Build and maintain the AI infrastructure platform for a cutting-edge AI research company, using Kubernetes, Terraform, and Ansible to ensure high availability and scalability.
Senior backend engineer on Together AI's inference platform, building global request routing, load balancing, auto-scaling, and multi-tenant traffic shaping for serving LLMs and generative models across tens of thousands of GPUs. Core work is performance-critical distributed systems, with expertise in Rust, Go, Python, or TypeScript and low-level OS/networking optimization.
About the Role In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll manage and scale high-performance…
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