AI Infrastructure
903 open positions
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Production Engineer, IaaS FluidstackSan Francisco, CA 2mo Build and operate the observability platform, control plane, and fleet state management for a hyperscale GPU/IaaS infrastructure supporting frontier AI compute.
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Member of Technical Staff - Post-Training Research ModalNew York 2mo Conducting hands-on post-training research for Large Language Models (LLMs) to optimize training, deployment, and production observation, bridging research bets with production workloads.
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Principal Solutions Architect, Foundation Model Providers
AmazonSeattle, Washington, United States
2mo
Designing cloud architectures for foundation model providers to train, fine-tune, and serve state-of-the-art generative AI models at massive scale.
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Platform Engineer - AI/ML Infrastructure (Kubernetes & Terraform)
DeepgramUSA | Remote
2mo
Build and operate the hybrid infrastructure foundation for advanced AI/ML research and product development, enabling teams to train and deploy complex models at scale.
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Solution Specialist, Infrastructure CoreWeaveBellevue, WA $207k–$275k2mo Principal Solution Specialist for Infrastructure designing commercial frameworks and closing complex AI infrastructure deals globally.
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Field Architect MinIORemote, US - West 2mo Senior customer-facing technical leadership defining, validating, and guiding AIStor architectures for AI, analytics, and large-scale data infrastructure.
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Sr. Cloud AI Infrastructure Engineer TencentUS-California-Palo Alto $151k–$151k2mo Researching AI accelerator hardware logic and optimizing high-performance operator libraries for large-scale cloud computing environments to support LLM inference and training.
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AI Training Infrastructure Engineer – Humanoid Whole Body Control FigureaiHQ $200k–$350k2mo Building and scaling the training and deployment infrastructure for RL-based whole-body control systems in autonomous humanoid robots.
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Senior Cloud Infrastructure Engineer GatikaiincSanta Clara, CA $180k–$180k2mo Architect and manage large-scale compute and data infrastructure powering autonomous driving stacks, ensuring multi-GPU clusters and distributed training frameworks are scalable and resilient.
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Solutions Architect - Israel NebiusIsrael 2mo Designing and implementing cloud infrastructure and MLOps solutions for clients, acting as a trusted technical advisor to build ML/AI pipelines.
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Software Engineer, Compute Infrastructure RenderRemote 2mo Design and build large-scale cloud compute infrastructure, including Kubernetes clusters, micro VMs, and orchestration systems to support AI-native applications and developer platforms.
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ML Platform Engineer/Senior Engineer MotionalSingapore 2mo Building a high-scale Cloud Development Environment (CDE) platform to provide standardized, high-performance workspaces for ML development in autonomous driving.
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