AI Infrastructure
1,392 open positions
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Software Engineer - Model Infrastructure, TikTok Feeds TikTokSan Jose, United States of America Design and develop scalable infrastructure for online inference and offline training of large-scale recommendation models to support complex foundation models.
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AML-火山方舟大模型推理系统工程师 ByteDance杭州 Design, develop, and optimize large-scale training and inference systems for large language models, handling high-concurrency traffic and heterogeneous hardware.
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TIONE-AI Infra 后台研发工程师 TencentShanghai, China Design and build a cloud-native large model inference platform on Kubernetes, focusing on scheduling, resource management, and core plugins to support efficient deployment of HunYuan and third-party models.
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Technical Support Engineer
SimplismartBengaluru
$300k–$350k
Provide enterprise-level technical support and troubleshooting for GenAI inference platforms, MLOps pipelines, and ML model deployments.
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Senior Software Engineer (AI Inference & Runtime Platform)
AZXRemote · United States | Seattle
$140k–$230k
Build and operate the AI inference control plane and agent-sandboxing platform, managing GPU workloads, Kubernetes clusters, and secure microVMs for untrusted code execution.
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Lead Inference Engineer DizzaractRemote Lead the technical direction and optimization of a distributed inference platform for large language models, focusing on latency, throughput, memory efficiency, and cost across diverse hardware.
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AI/ML/LLM Systems Engineer - Enterprise AI Platform Engineer Saudi AramcoSA · Expat Europe Design and maintain infrastructure for deploying and optimizing large language models (LLMs) and vision models on enterprise-scale AI platforms.
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About the job SK Group경기도 판교 Lead Platform Engineering & SRE to transition and operate SK BioPharm's AI Platform in production, connecting GPU/distributed computing environments with AI development models.
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HPC & MLOps Engineer C-Gen.AIRemote Design, deploy, and maintain high-performance computing (HPC) and MLOps systems for clients, ensuring reliable and scalable AI infrastructure.
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Member of Technical Staff - ML Infra Causal LabsSan Francisco, CA Design, deploy, and maintain large distributed ML training and inference clusters; develop scalable pipelines for petabyte-scale datasets and model training.
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DevOps with Python 8648 G AkvelonRemote Build and expand a Kubernetes-based inference benchmarking framework for end-to-end performance measurements, cross-cloud comparisons, and model test scenarios.
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Kubernetes Engineer TensormeshFoster City, CA Build the core orchestration logic of the Tensormesh platform by extending Kubernetes capabilities with custom operators and controllers for AI inference workloads.
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MLOps / Platform Engineer (m/w/d) FroniusThalheim bei Wels €47k–€60k Building and operating the infrastructure behind AI systems, ensuring reliable operation of central cluster services and CI/CD pipelines.
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Compute Infrastructure Lead UMAParis, France Own and scale the compute backbone for training, evaluation, and data-processing workloads to enable model deployment from research to production.
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Technical Consultant SemiAnalysisRemote Lead technical due diligence and consulting engagements for neoclouds, AI accelerators, and infrastructure, translating benchmark insights into investment decisions.
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Senior Technical Project Manager (GGA US) Akvelon BDC $114k–$125k Senior Technical Project Manager acting as the onsite technical point of contact between cloud-platform management, enterprise stakeholders, and an offshore engineering team supporting GKE and AI workloads.
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Member of Technical Staff - Sandbox Platform
Prime IntellectSan Francisco
$150k–$300k
Build the distributed control plane and node-level runtime for a sandbox platform that unifies compute, environments, and secure microVMs for frontier AI research and production model training.
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