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Compensation: $120k – $200k Senior Technical Marketing Engineer Remote, U.S. (Travel up to 25%) Reports to: Lab Lead, FarmGPU AI Lab Employment status: Full-time About FarmGPU FarmGPU operates bare-metal NVIDIA GPU…
Owns scaling PolarGrid's distributed GPU inference network: bringing new sites and nodes online, running the global request-routing layer, and hitting availability targets. Heavy focus on bare-metal GPU fleets, LLM inference engines (vLLM, SGLang, TensorRT-LLM), networking (BGP, DNS, InfiniBand), observability, and Go/Rust automation tooling.
Principal-level Linux kernel engineer at Cedana AI, which builds automated GPU checkpointing and migration infrastructure for AI/HPC clusters (works with Kubernetes, SLURM, NVIDIA Dynamo). You'd initially own test/validation and performance optimization of the platform, then design and implement core kernel/OS/GPU system components.
Builds and maintains classified High Performance Computing (HPC) infrastructure at a defense tech company — hybrid on-prem/cloud compute, storage, and networking clusters, plus day-to-day cluster operations and CI/CD automation. Core stack: Linux (RHEL), Ansible/Terraform, Lustre/GPFS file systems, SLURM/PBSPro scheduling, with Kubernetes and cloud exposure.
Senior HPC and AI cluster administrator at Accenture Federal Services (Arlington, VA) designing, deploying, and maintaining HPC/GPU AI clusters for federal customers — managing job scheduling (Slurm, Kubernetes), CI/CD, and troubleshooting from bare metal to applications. Requires an active TS/SCI clearance.
Built to set the gold standard for integrated AI infrastructure Crux AI is a newly formed, U.S.-based integrated AI infrastructure company created to remove the physical and operational constraints on consequential AI…
VAST Data is the data platform company for the AI era. We build enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets, and make them available for real-time data analysis…
Engineer on Alibaba.com's Accio team building distributed LLM training infrastructure (including the open-source Dressage Agentic RL infra): adapting new model architectures into Megatron-based frameworks, orchestrating TP/PP/DP/CP/EP/SP parallelism, and keeping massive multi-GPU training runs stable and fast. Core stack: Python, PyTorch, Megatron-Core, Transformer Engine, CUDA/Triton.
Builds and optimizes the machine-learning infrastructure behind AXQ Capital's quantitative research platform: GPU/CPU cluster scheduling, distributed multi-node training, large-scale (PB-level) data access/storage, and ML platform tooling for experiments, training, and inference. Core stack includes Linux, Python/Go/C++/Rust/Java, Kubernetes/Slurm/Ray, and GPU training tech like PyTorch Distribute
Senior technical expert at Alibaba Cloud building and optimizing AI infrastructure software for large-model inference services: memory management, GPU memory snapshot/restore, and data-transfer/compute optimization in CPU/GPU heterogeneous environments, plus cross-layer AI framework tuning. Core stack: C/C++/Rust/Python, CUDA, vLLM/SGLang, KVCache and distributed caching.
In this role, you will work with architect, hardware and software engineering groups to provide accurate performance modeling of the next-generation inter-chip network architecture for high-performance AI chip and AI…
Joins T-Head (Alibaba's AI chip unit) to build and optimize the interconnect/collective communication libraries for its AI chips, enabling efficient multi-GPU/multi-node large-model training and inference. Day to day: C/C++ library development, extreme performance tuning against chip/server/network topology, and diagnosing hangs, crashes, and user issues in large-scale clusters using NCCL/MPI-clas
Are you interested in developing operating systems and contributing to Open Source? Did you just graduate and are eager to become part of an worldwide development community? Is your favorite OS Linux based and you…
Cornelis Networks delivers the world’s highest performance scale - out network ing solutions for AI and HPC datacenters . Our differentiated architecture seamlessly integrate s hardware, software and system level…
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…
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading…
Deploy, automate, and maintain Linux-based compute and storage infrastructure at Cerebras, the AI chip company. Day to day: administering Linux servers and VMs, supporting block/file/object storage, and building Python/Bash and Ansible automation for provisioning, monitoring, and troubleshooting.
Technical Account Manager (TAM) at Alibaba Cloud in Beijing serving major internet key-account customers: owns enterprise AI Agent delivery (RAG, prompt engineering, multi-agent orchestration), LLM training/inference support on PAI, AI cloud-native stability and observability, and cloud architecture optimization on GPU compute.
Customer-facing senior solutions engineer at VAST Data who designs, demos, and troubleshoots enterprise storage solutions for AI workloads, working with customers, sales, and engineering on POCs, architectures, and performance tuning. Core stack: enterprise storage (NFS/SMB/S3), Kubernetes/OpenShift, public clouds, Linux/Windows, and virtualization.
【岗位职责】 核心引擎开发： 负责高性能、低延迟通信中间件及系统核心模块的设计与研发，使用 Rust 构建安全、高并发的底层服务。 系统架构保障： 参与构建高可用、强实时性的系统基础架构，解决复杂系统下的资源隔离、进程间通信等核心技术难题。 跨语言生态融合： 负责开发与维护 Rust 与 C/C++、Python 等语言的高效绑定（FFI）与调用封装，确保多语言混合工程的稳定运行。 性能极致优化：…
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