AI Infrastructure
1,397 open positions
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Manager, Software Engineering NVIDIAUS, CA, Santa Clara $224k6d Lead an engineering team building and scaling the AI infrastructure platform (GPU clusters, Kubernetes) used by NVIDIA researchers to train frontier AI/ML models.
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Principal Software Engineer - AI Infrastructure MicrosoftUnited States, Washington, Redmond 6d Own the architecture and technical direction of major components of the training platform for Large Language Models (LLMs), Small Language Models (SLMs), multimodal, code-specific, and open-weight models.
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System Engineer (Compute Node) NebiusEurope 7d Building services for managing Virtual Machines running on GPU servers, integrating with disk management, virtual and InfiniBand networks, and developing a Virtual Machine Scheduler for clusters with thousands of servers and GPUs.
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Senior Software Engineer, SRE and Production Engineering - DGX Cloud JobgetherRemote 7d Design, build, and maintain software and operational tooling to deploy, manage, and support large-scale GPU infrastructure for AI workloads.
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Platform Engineer - Self Hosting LLMs built with GO PhysicsXLondon 7d Build the LLM access layer for agents on the PhysicsX platform, serving self-hosted open models and routing tasks to the best-fitting models.
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Network Engineer - Data Center & AI Infrastructure HaysSingapore, Singapore, SG 7d Design, operate, and optimize high-performance networking environments for large-scale AI, GPU cloud, and HPC platforms.
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Industrial AI Cloud - Infrastructure Engineer Telekom-GrowthhubBudapest, Hungary 7d Build, automate, and operate compute, network, and storage environments for a large-scale Industrial AI Cloud hosting 10,000 GPUs.
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Senior Software Development Engineer, AWS Kubernetes (K8s)
AmazonSanta Clara, California, United States
$193k–$262k7d
Building and operating an infrastructure platform for training, fine-tuning, and inference of AI models on AWS EKS, focusing on next-generation network management, observability, and telemetry.
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Backend/Platform Engineer [84522]↗ TaleraBrooklyn, NY, US $125k–$139k7d Build and operate a high-scale ML orchestration platform supporting online inference, model evaluation, and serving infrastructure.
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AI Infrastructure Architect (All Genders)↗ Accenture DachRemote €54k7d Design and optimize AI/ML infrastructure, compute resources, and deployment pipelines to power real-world applications.
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Senior AI Infrastructure & Platform Operations Engineer (remote in the EU)↗ MirantisRemote 7d Senior technical leader responsible for operating large-scale AI infrastructure environments powered by NVIDIA GPUs, high-performance networking, and Kubernetes.
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Engineering Manager, Online Serving and Inference, AI Platform NetflixRemote, United States $523k–$920k7d Lead the development of a next-generation online serving and inference platform to enable ML practitioners to deploy large-scale AI models (LLMs, computer vision) for Netflix member ecosystems.
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AI Enablement Engineer↗ AmpstekStockholm County, Sweden 7d Deploy, configure, and validate NVIDIA AI infrastructure on Kubernetes for LLM inference workloads.
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Site Reliability Engineer CrusoeTel Aviv - IL 7d Design and operate reliable managed AI services, focusing on serving and scaling LLM workloads to ensure high availability and performance for compute-intensive tasks.
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Software Engineer, Distributed Systems↗ Hunter BondLondon Area, United Kingdom £220k7d Design, build, and optimise distributed computing frameworks and data infrastructure for high-volume, real-time processing across machines and accelerators.
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Senior Staff/Principal Engineer, Foundation Model Compute Infra AppleSanta Clara, United States of America 7d Architect, build, and operate large-scale infrastructure powering foundation model training, fine-tuning, evaluation, and inference.
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Staff, Platform Engineer AI Compute (6034) ShieldaiSan Diego, California 7d Build and maintain the software and configuration that let developers run GPU workloads on Kubernetes for Shield AI's AI Factory.
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产品架构师 LenovoAustralia 7d Design the overall architecture and product roadmap for the TokenHub AI infrastructure platform, managing compute resources, model inference services, and MaaS operations.
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Software Engineer Infrastructure Sodalis, Inc.Palo Alto $185k–$215k8d Design and deploy AI pharmacy technology on-premise or hybrid within pharmacy environments, ensuring observability and maintenance without direct access.
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Software Development Engineer III, Efficiency & Performance, Alloy, Region Flex Efficiency
AmazonSunnyvale, California, United States
$193k–$262k8d
Design and build mechanisms to measure, analyze, and automate performance improvements in large-scale distributed systems to drive company-wide efficiency goals and cost savings.
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AI Infrastructure Lead( Engineering)↗ TrulyyySingapore, Singapore 8d Lead the architecture, design, and development of scalable AI infrastructure and cloud-based platforms for GPU computing and AI workloads.
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AI Storage Specialist (GPU)↗ Damac DigitalBangkok City, Thailand 8d Design, deploy, and optimize high-performance storage systems (parallel file systems, NVMe, object storage) to support large-scale AI GPU clusters for enterprise training and inference.
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?Principal AI Ops Engineer↗ Palo Alto, CA, US 8d Build autonomous AI agents and telemetry pipelines to detect, triage, and remediate failures across a large-scale TPU fleet infrastructure.
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Senior HPC and Platform Engineer↗ GeosoftwareRemote 8d Design and build a distributed execution framework that runs scientific workloads across local, on-premise HPC, and managed cloud services (AWS, Azure, GCP, Databricks) behind a consistent interface.
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Software Dev Engineer - II, AWS EC2 Ultraservers
AmazonSeattle, Washington, United States
$144k–$194k8d
Design, build, and maintain cloud-based repair and recovery workflows for Trainium UltraServers, orchestrating operations from impairment detection through completed recovery for AI/ML infrastructure.
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ML Ops Engineer EricssonStockholm,Stockholm,Sweden 8d Operate and monitor GPU workload orchestration on the Sferical.ai platform, ensuring 216+ GPUs are used efficiently, securely, and reliably for AI teams.
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Staff ML Engineer – AWS Trainium & SageMaker↗ Robots & Pencils 8d Operate and train large-scale AI models on Amazon SageMaker using AWS Trainium custom silicon, bridging hardware/compiler behavior with PyTorch training pipelines for enterprise clients.
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Software Engineer - ML Infrastructure ArenaSF Bay Area 8d Design and develop scalable, low-latency model inference infrastructure, high-performance post-training infrastructure for reinforcement learning (RL), distributed ML training job execution, and comprehensive model evaluation frameworks.
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