…TensorRT - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques - Knowledge of Python and/or C++ programming…

…Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and…

…8+ years of experience architecting datacenter-scale HPC or AI infrastructure as a Principal Architect, Solutions Architect, Principal Engineer, or equivalent Bachelors degree in…

…The DSP core design work directly supports Qualcomm NPU and GPU solutions, enabling optimized inference across diverse hardware platforms. You will have the opportunity…

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team We have an opportunity to impact your…

…Job responsibilities Hands-on design, development, and deployment of advanced AI, GenAI, and Agentic business solutions. Partner with engineering leads and architecture to implement…

…Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal. ABOUT THE ROLE…

…and build solutions to enable AI Platform to deliver a global service that handles large scale Microsoft Foundry training and inferencing workloads. As a…

…Optimize and deploy models into production autonomous-driving systems, working across model architecture, inference, and onboard constraints. Set technical direction for geometric vision at…

…The Account Solutions Architect, Engaged is the named technical partner to existing customers across CoreWeave’s full platform — infrastructure, Models, Weave, observability, and inference…

…Expertise in training and inference optimization. Proven ability to influence platform architecture and align cross-team roadmaps. Track record of publications in tier-1…

Amazon Web Services (AWS) is leading the next phase of AI adoption and is seeking a hands-on AI Specialist Solution Architect (SSA). AWS…

…and inference, so experience with GPU/AI infrastructure is valuable — but this role is equally about technical breadth: helping customers make sound architecture decisions…

Amazon Web Services (AWS) is leading the next phase of AI adoption and is seeking a hands-on AI Specialist Solution Architect (SSA). AWS…

…As a Software Development Engineer, you'll have the exciting opportunity to leverage industry-leading technologies — including real-time ML inference, large-scale distributed…

…is grounded in scientific evidence rather than intuition Architect scalable, reusable ML platforms and inference systems designed to serve multiple products without proportional increases…

…inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture…

…Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in computer architecture - Usage of generative AI tools…

…C++) React, Preact, Inferno, etc GraphQL or similar data access solutions API design What’s Different About Us: Scale, Impact: You’ll enable over…

…and GPU-accelerated training, inference, performance optimization, or serving. Research and engineering judgment, with the ability to find practical solutions to open-ended problems…

…Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or…

…Experience with micro-services architecture, design patterns and technologies Java, Spring boot, Kafka, Hibernate Experience building cloud-native solutions on AWS (compute, networking, storage…

…into rigorous experiments and productionized solutions that move the needle for Uber’s global business. Lead the architecture and design of next-generation algorithms…

…About the Role - Architect, scale, and maintain high-throughput, low-latency live inference infrastructure to support our relevance systems. - Own the end-to-end…

…Collaborate with engineering on data contracts, feature stores, distributed training/inference, and automated rollout/rollback; drive architectural investments that increase agility and reliability of…