英伟达Solution Architect Intern, AI in Industry - 2025

Introduction A Customer Success Manager Architect (CSM) career in IBM means a career where you're helping clients fully realize the value of their existing IBM products, whilst growing their adoption of next-generation technologies from across IBM's wider portfolio. It means being a trusted strategic advisor to some of the world's most transformational enterprises and culturally influential brands, as they rely on your expertise and our technology to solve some of their hardest problems. Excellent onboarding and an industry leading learning culture will set you up for positive impact and success, whilst ongoing development will advance your career through an upward trajectory. Our sales environment is collaborative and experiential. Part of a team, you'll be surrounded by bright minds and keen co-creators - always willing to help and be helped - as you apply passion to work that will have a positive impact to the world around us. Your role and responsibilities * Serve as a trusted advisor for customer’s intelligent modernization and cloud migration journeys, including deployment, and continuous optimization * Drive business value and technology outcomes throughout customer lifecycle with IBM Hybrid Cloud and AI growth offerings * Guide customer IT executives through the changes needed to unlock the full value of IBM Hybrid Cloud and AI growth offerings * Co-define customer roadmap for implementation and value realization alongside customer * Define and execute customer success plan to demonstrate value of IBM Hybrid Cloud & AI growth offerings * Drive adoption post-deployment and identify additional opportunities for expansion * Lead transformative and technical conversations and persuade extended stakeholders to take action based on requirements and value provided by solutions * Conduct workshops with customer to align IT architecture , integration & migration requirements * Build and execute retention and expansion plays * Activate early renewal conversations, drive upsell/cross-sell and work with extended IBM teams to ensure execution of the renewal process Required education Bachelor's Degree Preferred education Bachelor's Degree

GPU System Architect team’s work scope covers whole GPU pipeline(graphics, compute pipeline, memory system) and multi GPU, CPU and CPU interconnection, which provides good opportunity to deeply learn the latest cross unit new features in the new GPU architectures. The team works as the safety net of the chip. We catch function bugs in the HW by randomly generating tests and running them in various pre-silicon full chip platforms and debugging the failures. This works provides a good full chip view of GPU and has a big space to innovate. What you’ll be doing: • Get familiar with various GPU workload’s composition • Learn about what’s the usual feature metrics for GPU workload • Design and implement inventive solution to efficiently extract features from GPU workload • Verify the solution using direct and random GPU workload • Design and implement inventive solution simplify GPU workload while keeping the required features • Design and implement inventive solution to generate GPU workload according to required features • Design and implement inventive solution to generate GPU workload which has the same feature with a given test and randomize other (required) features • Thoroughly verify the solution on GPU functional simulator/full chip RTL/emulation/silicon platform. • Provide detailed and organized documentation and report out for the project.

NVIDIA networking designs and manufactures high-performance networking equipment that enable the most powerful super computers in the largest data centers in the world. With a distributed collection of NVIDIA GPUs inter-connected by networking solutions such as InfiniBand, Ethernet, or RoCE (RDMA over Converged Ethernet) we make powerful ML/AI platforms possible. We are seeking motivated, personable, and independent individuals to join our team!We seek experienced software embedded engineers to help support our groundbreaking, innovative technologies that make AI workloads in large clusters even more performant. As a networking Sr. Solutions Architect at NVIDIA you will have agency and palpable effects on the business, and work closely with customers and R&D teams. What you’ll be doing: • Support networking technologies such as Spectrum-X and work with customers on their technical challenges and requirements using said technologies during pre-sales activities • Develop proof-of-concept materials for innovative technologies for use by early adopters • Gain customers’ trust and understand their needs to help design and deploy groundbreaking NVIDIA networking platforms to run AI and HPC workloads • Address sophisticated and highly visible customer issues • Work closely with R&D teams to develop new features for customers • Help with product requirements alongside engineering and product marketing

In this role, you will work with architect, hardware and software engineering groups to provide accurate performance modeling of the next-generation inter-chip network architecture for high-performance AI chip and AI network. * Identifies the challenging problems, and evaluate various architectural solutions for the next-generation of network for AI chip and AI Super Pod. * Gets strong influences on future AI products by advanced architecture and evaluates the new architecture with performance modeling using C, C++, SystemC or other high level description languages. * Provides solid and accurate modeling result and influence the direction of next generation of AI networking. * Focus in the domain of AI chip to chip interconnect subsystem, Scale-up Switch chip, C2C link, and etc. * Participation in defining the micro-architecture of key subsystem. * Works closely with design, software, system, and verification team for the final success of products.