英伟达Solution Architect, Generative AI - CSP
任职要求
• MS or PhD in Electrical Engineering, Computer Science/Engineering, Mathematics, Physics, or a related field (or equivalent experience). • 3+ years of work-related experience in AI for natural language processing (NLP) and large language model (LLM). • Knowledge of application areas such as natural language processing and computer vision. • Excellent programming skills in some rapid prototyping environments such as Python, C++ and parallel programming (e.g., CUDA) is a plus. • Expertise with deep learning frameworks such as PyTorch. • Strong written and oral communications skills in English. Ways to stand out from the crowd: • Background in large language model, generative AI, recommender system. • Demonstrated experience optimization workloads with GPU technology. • Experience with NVIDIA AI and Data Science software and platform.
工作职责
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.
Would you like to join one of the fastest-growing teams within Amazon Web Services (AWS) and shape the future of human-AI collaboration? Join us in helping customers across all industries to maximize the value and benefits of AWS Generative AI services while pioneering innovative AI agent solutions that transform how we work. As a Technical Account Manager (TAM) specializing in Generative AI in AWS Enterprise Support, you will play a crucial role in two transformative missions: guiding customers' AI initiatives across AWS's comprehensive AI/ML portfolio, and spearheading the development of collaborative AI agents that revolutionize TAM operations. This is not a sales role, but rather a unique opportunity to serve as both an AI transformation advisor and innovation leader, working with organizations ranging from start-ups to Fortune 500 enterprises. Within the Enterprise Support team, TAMs focusing on Generative AI contribute significantly to ensuring the success of key enterprise customers in their AI journey while also driving internal innovation. As a strategic expert, you'll architect AI solutions, guide technology adoption, and pioneer new ways for humans and AI to work together. This support extends from strategic planning to implementation guidance, while simultaneously developing internal AI agent solutions that showcase the art of possible in human-AI collaboration. Every day will bring new and exciting challenges on the job while you: - Act as a strategic advisor for customers' Generative AI initiatives and internal AI agent innovation - Drive the development and implementation of collaborative AI agents within the TAM organization - Lead technical discussions around AWS AI services including Bedrock, Claude, and Amazon Q. - Make recommendations on AI architecture, security, cost optimization, and operational excellence - Champion internal AI agent success stories to inspire customer innovation - Complete analysis and present periodic reviews of AI workload performance - Guide customers in developing responsible AI practices while ensuring security and compliance - Foster an ecosystem where AI and humans progress together through knowledge sharing - Work with AWS AI/ML service teams to advocate for customer needs - Participate in customer requested meetings (onsite or via phone) - Work directly with Amazon Web Service engineers to ensure rapid resolution of AI-related issues - Available in non-business hours to handle urgent issues Location: Beijing, Shanghai, Guangzhou, Shenzhen, Hong Kong (HK visa sponsorship available)
Every day will bring new and exciting challenges on the job while you: - Act as a strategic advisor for customers' Generative AI initiatives and internal AI agent innovation - Drive the development and implementation of collaborative AI agents within the TAM organization - Lead technical discussions around AWS AI services including Bedrock, Claude, and Amazon Q. - Make recommendations on AI architecture, security, cost optimization, and operational excellence - Champion internal AI agent success stories to inspire customer innovation - Complete analysis and present periodic reviews of AI workload performance - Guide customers in developing responsible AI practices while ensuring security and compliance - Foster an ecosystem where AI and humans progress together through knowledge sharing - Work with AWS AI/ML service teams to advocate for customer needs - Participate in customer requested meetings (onsite or via phone) - Work directly with Amazon Web Service engineers to ensure rapid resolution of AI-related issues - Available in non-business hours to handle urgent issues ------------------------------------------------
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...