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We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your…
Build the core LLM inference runtime for an AI infrastructure startup: batching, scheduling, routing, KV-cache/prefix caching, and multi-GPU model serving in Rust, plus profiling and architecture decisions with the founding team. Full-time onsite in San Francisco or the South Bay Area; $230k-$350k base plus equity.
Principal Full-Stack AI Engineer — Platform Architect Location: Hybrid / New York, NY (flexible for exceptional candidates) Level: Principal / Staff (individual contributor) The most senior engineer on the team and the…
About the role VIVIO Health is transforming how it operates with AI, and we are hiring a senior engineer to build the features that make that real: language-model capabilities for our clinical, client success, and…
Senior engineer in HPE's Private Cloud AI team building the model runtime of HPE AI Essentials, an enterprise LLM inference platform for on-prem and air-gapped environments. Day to day: engine integration, continuous batching, KV cache management, distributed execution, and Kubernetes orchestration for low tail latency and high GPU utilization. Hybrid, 2 days/week in an HPE office.
Leads the technical direction of the LLM inference runtime in HPE AI Essentials: engine integration (vLLM, TensorRT-LLM, etc.), continuous batching, KV cache management, distributed GPU execution, and the Kubernetes orchestration layer. Goal is low tail latency and high GPU utilization on enterprise-owned, including air-gapped, infrastructure.
Requisition Id 17120 Annual Salary Range:$$160,000.00 -$$175,000.00 Work-Site Type: Remote ORNL offers a flexible work environment that supports both the organization and the employee. In addition, this position is…
Position Overview We are seeking a Senior AI & Data Platform Engineer to build and operate the technical foundation for our Data & AI Transformation initiatives, owning the manufacturing data platform,…
David Kennedy Recruitment is working with an established company building out its own AI platform that is seeking to onboard a Platform Engineer to join their team. Position: Platform Engineer Location: Bangkok,…
1、负责国际支付场景专属统一模型推理平台的架构设计、模块开发与性能优化，支撑大模型/小模型、多框架（PyTorch/TensorFlow/ONNX/TensorRT）的统一部署与服务化，保障支付场景的高可用与低延迟； 2、设计并实现适配支付流量特性的推理调度机制，包括负载均衡、弹性扩缩容、多副本管理、灰度发布、流量管控，满足稳定性要求；…
Senior engineer on the Platform team building and maintaining the AWS and Kubernetes infrastructure, CI/CD, observability, and security posture that all of the customer organization's AI capabilities run on. On-site in Annapolis Junction, MD; requires TS/SCI clearance with polygraph and 12+ years' SWE experience. Salary $241k-$295k.
Senior engineer on an AI infrastructure team building and maintaining LLM inference services for a cleared government customer (TS/SCI with polygraph required). Day to day: evaluating and deploying inference models on Kubernetes/Helm and AWS, developing in-house inference services with Python and Argo CD CI/CD, and mentoring other engineers.
About the role VESSL AI는 AI 기업을 위한 GPU 인프라를 제공하는 GPU Cloud 기업입니다. 폭발적으로 커지는 AI 컴퓨팅 수요 속에서, VESSL AI는 AI 기업들이 필요한 순간에 필요한 만큼의 GPU 컴퓨팅 파워를 안정적으로 확보하도록 지원합니다. 국내외 여러 Academic Lab과 Frontier Lab이 VESSL 제품을 사용하고 있으며, 2026년…
About the Team: The Inference Infrastructure team is the creator and open-source maintainer of AIBrix, a Kubernetes-native control plane for large-scale LLM inference. We are part of ByteDance’s Core Compute…
Employment Type: Full-Time Work Setting: Onsite/Remote Work Location: New York/San Francisco/Remote Work Hours: Office Hours Find out more here: https://semianalysis.com About SemiAnalysis SemiAnalysis is an…
Machine Learning Engineer — Brand Intelligence Predict The Opportunity Join us at Adobe as a Machine Learning Engineer (MLE 50) on the Adobe Brand Intelligence Predict team in San Jose, CA! Help us build the next…
Senior Applied Scientist — Brand Intelligence Predict The Opportunity Join us at Adobe as a Senior Applied Scientist 5 on the Adobe Brand Intelligence Predict team in San Jose, CA! Help us build the next generation of…
Build and run large-scale, cloud-native systems that power Adobe’s AI features, including ML inference infrastructure, container orchestration, and automated patch management across AWS, Azure, and GCP.
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