and cloud providers. In the AMD Server Performance Group, we build on our depth in microarchitecture knowledge and simulation... to analyze and optimize high-performance System-on-a-Chip (SoC) designs for critical areas such as cloud computing and machine...
, develop, and deploy scalable, production-ready ML solutions - Architect and implement a robust MLOps platform to streamline..., containerization, and cloud platforms Expertise in distributed systems, cloud infrastructure, and containerization technologies...
, and model training. Architect and deploy distributed training workflows, optimizing for performance across cloud GPU fleets.... Experience with training large multimodal models with distributed training frameworks (for example, Horovod, MosaicML) and GPU...
focus will be to architect, build, and maintain the critical data infrastructure supporting our large multimodal generative... leader in this space, you will be: Architect and build sophisticated data processing workflows responsible for ingesting...
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics..., and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU...
, develop, and deploy scalable, production-ready ML solutions - Architect and implement a robust MLOps platform to streamline..., containerization, and cloud platforms Expertise in distributed systems, cloud infrastructure, and containerization technologies...
Extensibility: Architect the framework to accommodate new services, APIs, or integrations without major refactoring—ensuring... LLM models in production environments, ensuring low-latency inference and scalable infrastructure (e.g., GPU/CPU...
, develop, and deploy scalable, production-ready ML solutions - Architect and implement a robust MLOps platform to streamline..., containerization, and cloud platforms Expertise in distributed systems, cloud infrastructure, and containerization technologies...
(mainly Linux and Windows) and hardware. Architect and execute on server/storage infrastructure related to program specific... problems. REQUIRED QUALIFICATIONS 7+ years of experience in IT infrastructure engineering, with a focus on cloud...
vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re... APIs. Identify, analyze, architect, develop and debug system software for Camera/Imaging and Computer Vision and deep...
with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity solutions... APIs. Identify, analyze, architect, develop and debug system software for Camera/Imaging and Computer Vision and deep...
AI pipelines across at least one major cloud platform (AWS, GCP, or Azure). The Engineer will collaborate with our Data Scientists... to architect, deploy, and maintain production-grade AI solutions. As part of the AI Solutions Hub, the Engineer will architect...
) to parse user intent, extract tasks, and dynamically plan automation flows. Modular Extensibility: Architect the framework...., GPU/CPU optimization, container orchestration, etc.). Backend Engineering Excellence: 5+ years of software development...
and GPU Infrastructure You are familiar with open source and other cloud tools (Dockers, Kubernetes, Terraform, Linux, Java... will help us become the number one cloud company in the world. We also look for: You have experience selling to the C-suite...
Extensibility: Architect the framework to accommodate new services, APIs, or integrations without major refactoring-ensuring... inference and scalable infrastructure (e.g., GPU/CPU optimization, container orchestration, etc.). Backend Engineering...
distributed training, inference efficiency, and production reliability. Responsibilities 1) Architect and develop scalable...-performance computing, low-latency inference, and GPU acceleration techniques. 4) Hands-on experience in scaling...
distributed training, inference efficiency, and production reliability. Responsibilities 1) Architect and develop scalable...-performance computing, low-latency inference, and GPU acceleration techniques. 4) Hands-on experience in scaling...
distributed training, inference efficiency, and production reliability. Responsibilities 1) Architect and develop scalable...-performance computing, low-latency inference, and GPU acceleration techniques. 4) Hands-on experience in scaling...
distributed training, inference efficiency, and production reliability. Responsibilities 1) Architect and develop scalable...-performance computing, low-latency inference, and GPU acceleration techniques. 4) Hands-on experience in scaling...
distributed training, inference efficiency, and production reliability. Responsibilities 1) Architect and develop scalable...-performance computing, low-latency inference, and GPU acceleration techniques. 4) Hands-on experience in scaling...