英伟达Solution Architect - Top AI Labs
任职要求
NVIDIA is leading company of AI computing. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers. You will work closely with NVIDIA experts to support top AI Labs and top model builders.
What You’ll Be Doing:
• Assist in supporting industry accounts and driving research/influencing/new business in those accounts.
• Assist researchers/engineers on their GPU applications.
• Deliver technical projects, demos and client support tasks as directed by the Solution Architecture leadership team.
• Provide technical support for GPU system deployments.
• Be an industry thought leader on integrating NVIDIA technology into applications built on Deep Learning, High Performance Data Analytics, Robotics, Signal Processing and other key applications.
• Be an internal champion for Data Analytics, Machine Learning, and Cyber among the NVIDIA technical community.
What We Need To See:
• MS or PhD in Engineering, Mathematics, Physics, Computer Science, Data Science, Neuroscience, Experimental Psyc…工作职责
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- As an AIML Specialist Solutions Architect (SA) in AI Infrastructure, you will serve as the Subject Matter Expert (SME) for providing optimal solutions in model training and inference workloads that leverage Amazon Web Services accelerator computing services. As part of the Specialist Solutions Architecture team, you will work closely with other Specialist SAs to enable large-scale customer model workloads and drive the adoption of AWS EC2, EKS, ECS, SageMaker and other computing platform for GenAI practice. - You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage AI Infrastructure on Amazon Web Services. You will also create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures. - You must have deep technical experience working with technologies related to Large Language Model (LLM), Stable Diffusion and many other SOTA model architectures, from model designing, fine-tuning, distributed training to inference acceleration. A strong developing machine learning background is preferred, in addition to experience building application and architecture design. You will be familiar with the ecosystem of Nvidia and related technical options, and will leverage this knowledge to help Amazon Web Services customers in their selection process. - Candidates must have great communication skills and be very technical and hands-on, with the ability to impress Amazon Web Services customers at any level, from ML engineers to executives. Previous experience with Amazon Web Services is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior engineers at customers, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovations.
THE ROLE: “AI Product Applications Engineer (Solution Architect) – China” position is in the AMD AI group, located in China.
THE ROLE: “AI Product Applications Engineer (Solution Architect) – China” position is in the AMD AI group, located in China. THE PERSON: Success in this role will require deep knowledge of Data Center, Client, Endpoint AI workloads such as LLM, Generative AI, Recommendation, and/or transformer … AI cross cloud, client, edge… the candidate needs to have hands-on experiences with various AI models, end-to-end pipeline, industry framework (pytrouch, vLLM, SGLang, llm-d,Triton) / SDKs and solutions. KEY RESPONSIBILITIES: Position technical proposals / enablement to (blogs, tutorials, user guide…) AI SW developers and/or top customers. Provide significant contribution to AI SW developers / communities and/or customer PoC success. Drive AI developers / communities / customer requirements for AI SW, solution roadmap planning. Analyze competitive solutions to identify strength and weaknesses for articulating AMD AI SW & solution value propositions. Provide inputs / feedback to AI SW / hardware silicon / board roadmap for AI cross cloud, client, and edge...