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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.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping…
The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in…
Join us at EIT: At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers,…
At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters.…
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be…
Senior engineer building Airwallex's data and AI platform infrastructure: designing and operating distributed systems for high-throughput streaming and batch processing (Kafka, Spark, Flink), evolving Kubernetes/cloud foundations, and building AI traffic management and model-serving layers. Hybrid role based in Seattle, WA.
Senior Software Engineer at Overclock Labs building the Akash Network, a decentralized cloud compute marketplace. Day to day you write Go for the Akash node and provider daemon, design and ship blockchain network upgrades, debug Kubernetes provider issues, maintain gRPC/protobuf APIs, cut releases, and write open technical documentation.
MLOps engineer at Gallatin (El Segundo, CA) owning the path from ML training to deployed capability for AI defense-logistics systems: training/serving infra on AWS SageMaker/EKS and on-prem GPUs, LLM serving (vLLM), CI/CD and model registries, evaluation harnesses, telemetry, and secure IL5/IL6 air-gapped deployment.
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