Architect Specialist for AI Infrastructure and GPU Workloads

il y a 2 semaines


Paris, France Oracle Temps plein

You and Oracle Architect Specialist for AI Infrastructure and GPU Workload s – with FSI, Healthcare, Government or high-tech/start-ups focus
Oracle is a leader in cloud computing worldwide, with over 130,000 employees. We offer pioneering AI infrastructure that helps businesses with advanced artificial intelligence and machine learning. From powerful GPU instances to specialized AI hardware, Oracle's infrastructure supports different AI tasks, ensuring top-notch performance and scalability.
Overview: We are seeking a highly skilled and motivated technical specialist to join our team, specializing in AI infrastructure and GPU workloads, with a dedicated focus on one of the sectors, such as FSI, Healthcare, Governments or high-tech/start-ups, to drive adoption of the Oracle cloud. Design, deploy, and optimize AI infrastructure solutions in the Oracle Cloud, focusing on GPU-accelerated workloads while incorporating relevant partner & open-source solutions popular in one of the sectors, such as FSI, Healthcare, Governments or high-tech/start-ups
· Research and evaluate emerging technologies and standard processes in AI infrastructure and GPU computing to drive continuous improvement.
· Create eloquent and compelling written assets proficiently, encompassing both external publications and internal documentation, particularly focusing on our open-source and partner solutions, benchmarks, and standard processes for running AI workloads on Oracle Cloud.

8+ years of Solution Engineering experience with a Bachelor's or higher degree in Computer Science, Engineering, or related field.
· Proven experience in designing, implementing, and optimizing AI infrastructure solutions in cloud environments, with a focus on GPU workloads in one of the sectors mentioned above.
· Advanced practical knowledge of Networking, Data Center topologies, routing and switching protocols, and Ethernet/InfiniBand
· System level understanding of server architecture, PCIe devices, NICs, Linux OS, and kernel drivers. Experience with DevOps/MLOps technologies like Docker/containers, Kubernetes, data center compute/network/storage deployments.
· Proficiency in cloud platforms such as Oracle Cloud, AWS, Azure, or Google Cloud Platform, including services relevant to AI and GPU computing.
· Experience in deploying AI models at scale, such as transformer-based NLP models, graph-based deep learning models, and/or geometric deep learning models.
· Experience with deploying use cases such as computer vision, recommender systems, medical imaging, drug discovery, genomics, predictive analytics, financial modeling or HPC in GPU-accelerated cloud environments
· Oracle Cloud Infrastructure Architect Associate, AWS Certified Solutions Architect, Azure Solutions Architect) and GPU computing (e.g., VIDIA Certified Associate – AI in the Data Center) are a plus.
· Background with open-source development with a Proficiency in systems engineering, coding (C/C++, Python, CUDA)
· English and French.

A competitive salary with exciting benefits
· Flexible and remote working so you can do your best work
· Learning and development opportunities to advance your career
· An Employee Assistance Program to support your mental health
· Core benefits such as medical, life insurance, and access to retirement planning
· Visit oracle.At Oracle, we don’t just respect differences—we celebrate them.


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