AI Infrastructure

1,397 open positions

机器学习平台SRE工程师-AML ByteDance北京 Ensuring stable operation of ByteDance's AML machine learning middle platform, supporting model development, training, and deployment for recommendation, advertising, CV, voice, and NLP systems.
大模型推理调度编排专家 - Seed Model ByteDance杭州 Design and implement scheduling and orchestration systems for massive-scale LLM inference across heterogeneous resources to maximize cluster efficiency and stability.
AI基础设施架构师/高级AI基础设施研究员-基础设施 ByteDance北京 Design and evolve end-to-end architecture for ultra-scale, high-availability AI Factory clusters to support efficient pre-training and inference of billion/ trillion-parameter LLMs/VLMs.
推理流量调度研发工程师-Data AML ByteDance北京 Design and optimize core architecture for trillion-level TPM traffic scheduling in AI model inference services.
大模型实施运维工程师-体验与服务 ByteDance成都 Deploy and operate large model products, ensuring platform stability and handling alerts/failures.
高性能计算平台开发工程师 - 音视频技术 ByteDance杭州 Building a multi-modal data processing and multimedia AI platform supporting large model pre-training, real-time AI calls, and business operations for video and edge services.
Kubernetes系统研发工程师 - 计算 ByteDance北京 Designing and optimizing the performance and capacity of ultra-large-scale Kubernetes clusters for AI-native infrastructure, focusing on control plane components like API Server and etcd.
大模型训练平台工程师-火山方舟 ByteDance上海 Develop and maintain a large model fine-tuning platform including task scheduling, training pipelines, and data preprocessing modules.
ByteBrain研究员 - AI算力基础设施 ByteDance北京 Design and implement AI/ML algorithms to optimize the efficiency and stability of large-scale computing infrastructure, including AIOps, operations research, and system optimization.
AIInfra工程师-AI数据与安全 ByteDance上海 Design and build RL Environment infrastructure and Sandbox runtimes for large model post-training and Agent training, managing multi-type environments (web, VMs, containers, cloud phones, games) and optimizing task execution efficiency.
AI Infra工程师（芯片平台） - 芯片研发 ByteDance上海 Building a full-stack AI infrastructure base covering AI compute clusters, network storage, heterogeneous compute scheduling, security operations, cost, and performance governance, plus an enterprise-grade LLMOps engineering system.
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.
Member of the Technical Staff - Systems ML Engineer TransfyrCambridge, MA Optimize large-scale ML model training and inference performance across cloud and edge infrastructure for physical AI systems in scientific research.
Field Solution Architect III, AI Infrastructure, Google Cloud GoogleCambridge $177k–$263k Support Google Cloud sales teams to incubate, pilot, and deploy industry leading AI/ML accelerators (TPU/GPU) for enterprise customers by designing training and inferencing platforms.
AI Infrastructure Associate Engineer (3 x FTE) University of BristolBristol £43k Design and operate large, highly available supercomputing services and compute platforms for researchers conducting leading-edge AI research.
ML Ops / AI Infrastructure Engineer ZeroSpaceBrooklyn, NY Architect and implement AI infrastructure for indexing, retrieving, and managing petabyte-scale multimodal media datasets to power generative AI in production.
机器学习平台SRE工程师（深圳/北京） TencentShenzhen, China Define SLA/SLO, build monitoring/alerting, and ensure stability of the machine learning platform's training and inference chains.
混元大模型Infra稳定性研发工程师（深圳/北京/上海/杭州） TencentShenzhen, China Build and maintain stability for the Hunyuan large model infrastructure, focusing on fault detection, metric collection, and automated task recovery.
混元沙盒平台工程师（北京/深圳/上海） TencentBeijing, China Build large-scale sandbox platforms for LLM Agent evaluation, reinforcement learning, and data manufacturing, providing stable and scalable virtualized runtime environments for massive CPU clusters.
边缘基础设施运维工程师 TencentShenzhen, China Manage the full lifecycle of physical edge infrastructure (GPU/CPU servers, storage) and operate Kubernetes-based container platforms for external customer compute delivery.
Member of Technical Staff - GPU Infrastructure Prime IntellectRemote $150k–$300k Design and deploy high-performance GPU cluster architectures for frontier AI workloads, serving as the primary technical escalation point for customer infrastructure issues.
GPU资源运营（AI方向） - 火山引擎 ByteDance上海 Manage and optimize GPU cluster resources for AI workloads, balancing performance and cost to meet internal and external client computing demands.
数据架构师（异构算力方向） - TikTok研发 ByteDance杭州 Design and manage the overall data architecture for heterogeneous computing resources to optimize AI training and inference costs, efficiency, and capacity planning for TikTok's large-scale model operations.
云稳定性架构师/技术专家 - AI算力基础设施 ByteDance杭州 Designing and maintaining the stability of large-scale AI-native cloud infrastructure and computing platforms for products like Douyin and Feishu.
编排调度高级研发工程师（ML Infra方向）-基础技术 ByteDance北京 Design and build the underlying infrastructure for ByteDance's machine learning platform, focusing on orchestrating and scheduling ML workloads across offline unified schedulers.
混部调度研发工程师/架构师 ByteDance杭州 Designing and developing a unified scheduling system for a massive container cloud platform to co-locate offline big data and ML training workloads with online services, optimizing resource utilization and performance isolation.
机器学习系统调度研发工程师-Data AML ByteDance杭州 Design and develop machine learning system resource scheduling to support model training, evaluation, and inference across NLP, CV, and Speech scenarios.
后端调度编排工程师 - Data AML ByteDance北京 Designing and optimizing distributed scheduling frameworks and training/inference runtimes for large-scale recommendation, advertising, CV, and NLP models.
大模型训练/推理优化工程师 - Seed Model ByteDance北京 Design and develop large-scale machine learning system architecture to support model training and inference for general-purpose AI models.
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.
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.
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.
容器运行时技术专家（AI Infra/云原生方向）-基础技术 ByteDance杭州 Design, develop, and evolve high-performance container runtimes (Containerd) serving as the infrastructure base for Kubernetes ecosystems, optimizing for density and resource utilization.
AI infra异构计算研发工程师 TencentShenzhen, China Design and build high-performance computing clusters and AI acceleration platforms for large model training and inference.
云网络AI研发工程师-基础设施 ByteDance杭州 Design and develop architecture for cloud networking AI products, focusing on forwarding and control planes, and explore fusion of cloud networking with AI for large model training and inference.
混元大模型平台研发工程师（北京/深圳） TencentShenzhen, China Designing and developing the architecture for the Hunyuan machine learning research foundation and LLMOps engineering platform to support large model training, inference, evaluation, and data processing.
边缘智能计算平台开发工程师 TencentShenzhen, China Build and operate an edge intelligent computing platform focused on AI inference scenarios, providing low-latency, high-throughput heterogeneous computing power services.
腾讯云-云原生高级技术专家(资源调度与内存优化方向)(深圳/上海) TencentShanghai, China Design and build large-scale cloud-native resource pool capabilities for memory overcommitment and scheduling, integrating Linux, virtualization, container runtimes, and Kubernetes to improve resource utilization and cost efficiency.
腾讯专有云-大模型推理优化工程师-深圳/北京 TencentShenzhen, China Designing and optimizing inference architecture and engines for private cloud MaaS platforms to serve enterprise customers.
Machine Learning Ops Engineer, Global SRE TikTokSan Jose, United States of America Ensuring stability and efficiency of machine learning systems across the full lifecycle from data preparation to serving, including offline training and online inference.
AI Infrastructure Engineer Graduate (Algorithm Infrastructure) - 2027 Start (PhD) TikTokSan Jose, United States of America Building and evolving next-generation inference systems for ultra-large-scale language models, vision-language models, and frontier multimodal AI systems, focusing on distributed serving, heterogeneous scheduling, and low-latency inference.
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.
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.
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.
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.
Senior MLOps Engineer (Vietnam) TensormeshRemote Design and maintain CI/CD pipelines for open-source AI infrastructure (LMCache), ensuring high-performance GPU workloads and reliable releases.
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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