英伟达Solution Architect, HER
任职要求
• Masters/Ph.D in Computer Science, Electrical Engineering, or a related field. 5 years above working experience. • Programming experience and proficiency in CUDA, Python, C/C++, and familiar with Linux developing environment. • Deep understanding of accelerated computing, AI for science, Robotics, Simulation Technology, Agentic AI, physical AI and LLM ecosystem • Extensive knowledge and experience with recent advancements in AI for Science, LLMs, VLMs, VLA, Agentic AI and Physical AI. • Ability to communicate effectively in a collaborative environment. • Passionate about AI and its evolvin…
工作职责
At NVIDIA, we’re solving the world’s most ambitious problems with our groundbreaking developments in Artificial Intelligence, Acceleration Computing and Visualization. We are looking for a Solution Architect to work with China research community to integrate our portfolio of GPU Accelerated Computing solutions i.e. AI for difference sciences domains, Machine Learning and Deep Learning, specifically CUDA, acceleration computing SDKs, robotics tools, generative AI & agentic AI, and to build comprehensive multi-cloud, hybrid and on-prem solutions. We need a passionate, focused, self-driven and creative technologist who has the skills and strive to work in a fast-evolving technological environment that is always on the cutting edge of AI and Accelerating Computing. This individual is motivated, skilled in communication and teamwork, stays organized, and prioritizes achieving goals. Roles will include supporting business development team to close deals, helping our customer to use NVIDIA tools and softwares, bridging the researchers and developers from university to NVIDIA teams. What you’ll be doing: • Apply your experience and knowledge in areas of accelerated computing and machine learning (esp. AI4S, Robotic, Life science, LLM, VLM, VLA, GAI and agentic AI). • Conduct AI engineering via playing with software and hardware and collaborating with external researchers. Partner with internal groups to transfer technologies and innovate products. • Deliver NVIDIA tools and software to researchers and developers. Present value of NVIDIA total solution to customers. • Assist in building AIGC, AI4S tools with the state-of-the-art AI models. It can also help the AI community use multiple NVIDIA SDKs or frameworks (esp. PhysicsNeMo/Modulus/CUDA-Q/Isaac/BioNeMo) to realize fantastic ideas!
At NVIDIA, we’re solving the world’s most ambitious problems with our groundbreaking developments in Artificial Intelligence, Acceleration Computing and Visualization. We are looking for a Solution Architect to work with China research community to integrate our portfolio of GPU Accelerated Computing solutions i.e. AI for difference sciences domains, Machine Learning and Deep Learning, specifically CUDA, acceleration computing SDKs, robotics tools, generative AI & agentic AI, and to build comprehensive multi-cloud, hybrid and on-prem solutions. We need a passionate, focused, self-driven and creative technologist who has the skills and strive to work in a fast-evolving technological environment that is always on the cutting edge of AI and Accelerating Computing. This individual is motivated, skilled in communication and teamwork, stays organized, and prioritizes achieving goals. Roles will include supporting business development team to close deals, helping our customer to use NVIDIA tools and softwares, bridging the researchers and developers from university to NVIDIA teams. What you’ll be doing: • Apply your experience and knowledge in areas of accelerated computing and machine learning (esp. AI4S, Robotic, Life science, LLM, VLM, VLA, GAI and agentic AI). • Conduct AI engineering via playing with software and hardware and collaborating with external researchers. Partner with internal groups to transfer technologies and innovate products. • Deliver NVIDIA tools and software to researchers and developers. Present value of NVIDIA total solution to customers. • Assist in building AIGC, AI4S tools with the state-of-the-art AI models. It can also help the AI community use multiple NVIDIA SDKs or frameworks (esp. PhysicsNeMo/Modulus/CUDA-Q/Isaac/BioNeMo) to realize fantastic ideas!
1.Support AI MaaS Solutions Work: As an intern on the AI Solutions Architect (SA) team for international business, assist the SA team in supporting the AI MaaS (Model-as-a-Service) sales team to expand large AI model engagements with global customers, contributing to the growth of Alibaba's large model token consumption in overseas markets. 2.Participate in Client Technical Discussions: Assist the team in engaging with global clients on AI business requirements and technical architecture discussions; learn to understand client needs and participate in AI MaaS opportunity identification and solution development. 3.Support Solution Design: Leverage Alibaba Cloud's Bailian platform and its suite of large models—including Qwen, Wan, and related cloud services such as GPU instances, PAI, ECS, databases—to assist in designing feasible AI and cloud solutions for customer requirements. 4.Industry Research & Solution Support: Based on clients' industries and specific use cases (e.g., social platforms, model marketplaces, video platforms, AI data services, etc.), assist in solution preparation covering model selection, architecture design, prompt engineering, RAG implementation, and agent development. 5.Demo Development & Presentation Support: Participate in designing and developing demos aligned with client scenarios, assist the team in product demonstrations and technical discussions.
Responsible for implementing DiDi localization payment scenarios in DiDiPay and SOFIPO. Deliver products in SOFIPO, e.g. deposit, interest, payment, clearing, settlement, etc. Contribute to various payment methods in DiDiPay, e.g.payment with balance, payment with card, payment with SOFIPO, etc. Working closely with various team in Mexico and China, business team, product team, tech team, etc. Collect requirements from different teams, understanding team needs, dismantling them into tech solutions and delivery high quality products Prepare technical compliance documents that compliance or CNBV need for SOFIPO
NVIDIA is the world leader in computer graphics, PC gaming, and accelerated computing. Today, we are tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of edge computers and robotics that can understand the world. Doing what is never been done before takes vision, innovation, and the world’s best talent.We are now looking for an edge computing expert to join NVIDIA China Solution Architect team. In this role, candidate will work closely with sales team to support edge computing customers and ISV partners, including hardware and software solution providers - establishing relationships, solving problems with their engineering teams, and helping them build a successful NVIDIA practice. You will be responsible for technical aspects of supporting NVIDIA Jetson products. This will involve engaging and supporting partners and customers from pre-sales activities through design to manufacturing, production and sustaining. The successful candidate should be a self-motivated individual who can prioritize multiple customer issues simultaneously and have good interpersonal skills. At the same time, you will need to understand team priority and be an outstanding teammate. What you’ll be doing: • Assist field business development team in guiding customers and ISV partners through the sales process on NVIDIA Jetson solution. • Support customers and ISV partners to develop innovative platform with NVIDIA Jetson solution to extend the state of the art in edge computers. • Train customers and ISV partners on NVIDIA Jetson platform stack. Handle in-depth hands-on engagement with customers & partners on complicated edge projects based on Jetson. • Review customers and ISV partners’ solution and design, support customer design boards bring-up, diagnose problems with customer designs and seek to solve technical issues. • Take an active role in assessing the technical details of projects. Build close technical relationship with customers & partners. • Collaborate across the company, work with NVIDIA worldwide software, research, and product teams to lead technical activities and customer support. Guide the direction of Jetson product implementations.