英伟达Deep Learning Solution Architect

- 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.

NVIDIA’s Solution Architect team is looking for a AI-focused Solution Architect with expertise in Large Language Model, generative AI, or recommender system. We work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain constructive collaboration in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering. You will be working with the latest AI architecture coupled with the most advanced neural network models, changing the way people interact with technology.As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns. What you’ll be doing: • Assisting field business development in guiding the customer build/extend their GPU infrastructures for AI. • Help customers build their large-scale projects, especially Large Language Model (LLM) projects. • Engage with customers to perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines. • Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations. • Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures.

We are now looking for a Senior Solutions Architect, an outstanding engineer able to engage with developers, researchers, and decision makers. We need individuals who can use AI to improve system efficiency and develop close relationships with our industry customers, making NVIDIA a great part of end-user solutions.NVIDIA is the world leader in GPU accelerated computing and is looking for Solution Architects to engage our customers. The Senior Solution Architect will work closely with the industry customers in our China region - establishing relationships, solving problems with their engineering teams, and helping them to build a successful NVIDIA practice. If interested, do not hesitate to apply online, we are exciting to talk with you! What you’ll be doing: • Presenting NVIDIA’s full stack Artificial Intelligence solutions, and end to end platform technology to customers and partners. With in-depth hands-on engagements with customers or NVIDIA partners on complicated Datacenter projects. • Assist field business development in guiding the customer through the sales process for NVIDIA solution. • Understand and analyze customer requirements, support the solution design and development of applications. • Team work across the company to guide the direction of accelerated computing, working with software, research, and product teams. • Document the learnings to guide others. This can vary from making targeted training for customers and other Solutions Architects, giving nice hands-on demos, writing whitepapers, blogs, and wiki articles, recording short videos, to simply working through hard problems with a partner on a whiteboard.

1)Technical Consulting & Solution Design: Provide cutting-edge artificial intelligence (AI)-based technical consulting to key industry clients (such as those in finance, telecommunications, and internet sectors) in Indonesia and Southeast Asia. Gain in-depth understanding of clients' business pain points and industry characteristics, identify and decompose requirements, deliver customized and technologically advanced AI solutions, and drive business opportunity conversion. 2)Architecture Design & Delivery: Plan and design technical architectures and basic business architectures that meet clients' complex business scenarios. Be responsible for writing technical requirement specifications and architecture design plans, lead and promote proof-of-concept (POC) and testing phases, efficiently solve technical problems, and ensure successful project delivery. 3) Requirement Insight & Feedback: Utilize professional capabilities to gain insights into industry technology development trends, deeply explore clients' potential needs, develop replicable industry solution approaches, and feed back cutting-edge requirements to the product team to drive the iterative evolution of cloud and AI products.