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DevOps & Infrastructure
› AI Infrastructure
AI Infrastructure
977 open positions
Senior Customer Success Manager
Crusoe
San Francisco, CA - US
$190k–$190k
10mo
Guide clients to maximize value of Crusoe's vertically integrated AI infrastructure, bridging technical complexities with business goals.
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Senior Cloud Support Engineer
Crusoe
Tel Aviv - IL
10mo
Senior technical support engineer for GPU-powered AI infrastructure, diagnosing complex issues and ensuring high availability for customers.
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Principal Engineer, AI Inference Reliability
Cerebras
US and Canada Offices
11mo
Own the mission of making Cerebras Inference the most reliable AI service by driving reliability strategy and execution across the inference stack from client SDKs to wafer-scale systems.
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Senior Runtime Engineer
Cerebras
US and Canada Offices
11mo
Design and develop high-performance distributed software to orchestrate massive compute and data pipelines for large-scale AI training and inference workloads.
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Principal Engineer, Inference Cloud
Cerebras
Headquarters/Sunnyvale Office
1y
Architecting and operating the cloud layer for Cerebras' ultra-high-speed AI inference service, ensuring multi-region availability, low latency, and reliability for model labs and enterprises.
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Software Engineer - AI and Data Platforms
Apple
Hyderabad, India
1y
Building and operating large-scale ML, GenAI, inference, and data platforms for real-time fraud decisioning and business-critical workflows across Apple's enterprise ecosystem.
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Customer Engineer
Modal
New York
1y
Building the technical support experience and platform infrastructure for AI/ML workloads at Modal.
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Software Engineer - Training Infrastructure
Baseten
San Francisco
1y
Architect and lead development of a global training platform for ML workloads, enabling research engineers to deploy, scale, and monitor high-performance training systems.
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Machine Learning Infrastructure Engineer, Model Inference
Abridge
SF Office
1y
Design, deploy, and maintain scalable Kubernetes clusters and model serving infrastructure for real-time AI model inference and training in healthcare.
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Member of Technical Staff - Distributed Training Engineer
Liquid AI
San Francisco
1y
Design, implement, and optimize distributed training infrastructure for large-scale GPU clusters to power next-generation foundation models.
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Software Engineer, Infrastructure
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Meta
Remote, US
$184k–$184k
1y
Architect efficient and scalable systems, resolve performance/scalability issues, and drive large efforts to reduce technical debt for complex applications.
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Member of Technical Staff, Cloud Infrastructure
Fireworksai
San Mateo
1y
Architecting and building foundational cloud infrastructure systems to power Fireworks AI's generative AI platform, serving distributed training and inference workloads globally.
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Machine Learning Infrastructure Engineer
Character.AI
Redwood City, CA
1y
Designing, building, and maintaining training and serving infrastructure for ML research.
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Software Engineer - Infrastructure
Baseten
San Francisco
1y
Build and maintain core components of an ML inference platform to enable developers to deploy, scale, and monitor production AI applications with high performance.
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Member of Technical Staff, Training Infra Engineer
Cohere Technology Group
Remote
1y
Design and write high-performant, scalable software for training frontier AI models and bridge the gap between research and production.
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AIML - Senior Machine Learning Infrastructure Engineer -ML Compute, ML Platform & Technology
Apple
Santa Clara, United States of America
1y
Building and maintaining compute infrastructure to run large-scale ML workloads (training, inferencing, fine-tuning) at Apple, ensuring stability, reliability, efficiency, and cost-effectiveness.
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Software Engineer 4/5 – Model Serving Systems, AI Platform
Netflix
USA - Remote
$466k–$466k
1y
Build and scale compute infrastructure for real-time AI/ML model inference and serving, including support for LLMs and large foundation models.
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TEE Specialist
Ritual
Remote
1y
Designing and implementing Trusted Execution Environment (TEE) solutions to enable secure, verifiable AI model execution on-chain.
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Member of Technical Staff - Systems
Modal
New York
1y
Designing, building, and maintaining novel, high-performance systems for a serverless platform that provides instant GPU access and sub-second container starts for AI workloads.
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Sr/Staff AI Infrastructure Engineer
Nio
San Jose-US
$164k–$164k
1y
Architecting and delivering AIOS foundation capabilities for SkyOS across ECU domains in premium smart electric vehicles.
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Senior Software Engineer (Cloud)
Runpod
Remote
$150k–$150k
2y
Design, develop, and maintain cloud infrastructure software for managing VMs across thousands of machines in worldwide data centers to support massive-scale parallel computing for AI applications.
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Research Engineer - AI/RL Infrastructure
Applied
Sunnyvale
2y
Design, build, and operate large-scale ML infrastructure and training systems to support end-to-end autonomous driving and robotic generalist research.
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AI Infrastructure Engineer
Spellbrush
San Francisco
2y
Design, implement, and run next-generation inference architecture for running generative AI models powering mobile and web applications.
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Senior Software Engineer - ML Infrastructure
Applied
Sunnyvale
$153k–$153k
3y
Design and implement distributed cloud GPU training approaches and build end-to-end machine learning pipelines for the entire ML lifecycle (dataset generation, training, evaluation, deployment) to support modeling teams.
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机器学习平台SRE工程师-AML
ByteDance
上海
Ensure stability of machine learning systems supporting model development, training, and deployment; manage GPU/NPU/CPU and storage resources; handle multi-region disaster recovery and cluster governance.
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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.
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机器学习研发工程师-搜索架构
ByteDance
杭州
Develop search architecture systems and build ML infrastructure/frameworks/tools to support algorithm production and efficient iteration for search business.
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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.
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ML Ops / AI Infrastructure Engineer
ZeroSpace
Brooklyn, NY
Architect and implement AI infrastructure for indexing, retrieving, and managing petabyte-scale multimodal media datasets to power generative AI in production.
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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.
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AI计算基础设施工程师 - 基础技术
ByteDance
北京
Design, build, and operate GPU-centric compute, network, and storage systems for large-scale model training and inference.
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MLOps技术专家 - Seed Model
ByteDance
北京
Ensuring stability and performance optimization for large-scale generative AI training and inference systems (LLM, T2I, T2V) within a global AI research team.
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GPU云服务器稳定性架构师-计算
ByteDance
杭州
Design and optimize stability architecture for GPU cloud servers in public cloud scenarios, ensuring full-link stability from hardware adaptation to software stacks.
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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.
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容器运行时研发专家 - 计算
ByteDance
杭州
Designing and developing container runtimes to provide stable, high-performance capabilities for AI and GPU business scenarios.
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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.
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AI基础设施网络研发专家 - 计算
ByteDance
上海
Designing and developing core container network functions and end-to-end architecture for large-scale Kubernetes, AI training, and GPU clusters.
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AI性能优化专家-计算
ByteDance
杭州
Analyze AI infrastructure performance, build performance benchmarks and competitiveness models, and optimize underlying systems for training and inference in cloud-based AIGC scenarios.
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Kubernetes Engineer
Tensormesh
Foster 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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Senior MLOps Engineer (Vietnam)
Tensormesh
Remote
Design and maintain CI/CD pipelines for open-source AI infrastructure (LMCache), ensuring high-performance GPU workloads and reliable releases.
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Member of Technical Staff - ML Infra
Causal Labs
San 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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异构云服务器高级技术专家-计算
ByteDance
杭州
Design, develop, and optimize heterogeneous cloud server architecture and performance for AI workloads, managing the full stack from hardware selection to system software stability.
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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.
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大模型训练系统工程师-Data AML
ByteDance
杭州
Design and develop training systems for large models, enabling Serverless fine-tuning (SFT) and reinforcement learning (RL) on a multi-tenant platform.
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大模型训练系统工程师-Data AML
ByteDance
北京
Design and develop serverless training systems for large model post-training (SFT, RL) supporting multi-tenant scenarios across multi-datacenter and heterogeneous hardware.
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混元训练 Infra 工程师-Dataloader/Checkpoint 方向-(北京/深圳/上海/杭州)
Tencent
Beijing, China
Designing and optimizing distributed data loading frameworks and checkpoint management systems for large-scale AI model training.
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AI Infrastructure Associate Engineer (3 x FTE)
University of Bristol
Bristol
$43k–$43k
Design and operate large, highly available supercomputing services and compute platforms for researchers conducting leading-edge AI research.
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主机网络数据面研发工程师/专家-火山引擎
ByteDance
杭州
Design and develop high-performance host network vSwitch forwarding architectures, including network virtualization, DPU hardware-software integration, and high-performance RDMA networks for cloud environments.
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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.
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AML机器学习系统SRE工程师
ByteDance
杭州
Maintaining stability of machine learning systems, supporting model development, training, and deployment, managing resources, and ensuring disaster recovery across multi-region clusters.
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