英伟达Senior Solution Architect - Hardware

• Develop and optimize the control stack, including locomotion, manipulation, and whole-body control algorithms; • Deploy and evaluate neural network models in physics simulation and on real humanoid hardware; • Design and maintain teleoperation software for controlling humanoid robots with low latency and high precision; • Implement tools and processes for regular robot maintenance, diagnostics, and troubleshooting to ensure system reliability; • Monitor teleoperators at the lab and develop quality assurance workflows to ensure high-quality data collection; • Collaborate with researchers on model training, data processing, and MLOps lifecycle.

• Develop and optimize the control stack, including locomotion, manipulation, and whole-body control algorithms; • Deploy and evaluate neural network models in physics simulation and on real humanoid hardware; • Design and maintain teleoperation software for controlling humanoid robots with low latency and high precision; • Implement tools and processes for regular robot maintenance, diagnostics, and troubleshooting to ensure system reliability; • Monitor teleoperators at the lab and develop quality assurance workflows to ensure high-quality data collection; • Collaborate with researchers on model training, data processing, and MLOps lifecycle.

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. At NVIDIA, our employees are passionate about accelerated computing. We're united in our quest to transform the way accelerated computing are used for work and play. Our technology impacts the large language model in daily copilot, visual experience in video game development, film production, space exploration, medicine, computational finance and automotive design. And we've only scratched the surface of what we can accomplish when we apply our technology to it. We need passionate, hard-­‐working and creative people to help us seek some of these outstanding opportunities.We are now looking for a System & Network Solution Architect to join the NVIDIA China Solution Architect team. In this role, you will engage and support design-in projects with major China OEM customers, focusing on integrating NVIDIA’s world-class networking portfolio (ConnectX, BlueField, and Spectrum Switches). As a Solution Architect, you will act as the technical bridge between NVIDIA engineering and our OEM partners. You will guide customers through the integration of next-generation networking into their server and storage platforms, ensuring seamless compatibility, performance optimization, and successful mass production. What you’ll be doing: • Lead OEM Design-in & Integration: Work closely with OEM customers to integrate NVIDIA networking products (e.g., CX8/CX9, CX6 Dx, BF3 DPUs) and Switch platforms (Spectrum-4/6 Blackbox & Whitebox) into their server lineups. • Architecture & Customization: Understand customer requirements to provide system-level architectural guidance. Lead technical discussions on system topology, thermal/mechanical constraints, firmware customization, and sideband management (NC-SI, PLDM). • System Bring-up & Support: Support customers during the bring-up phase of new server designs. Diagnose complex system-level issues involving PCIe, BIOS/BMC, firmware, and OS/Driver interactions. • Performance Optimization: Guide customers in optimizing network performance for AI, HPC, and Cloud workloads, ensuring the best integration of NVIDIA NICs and DPUs within their specific hardware environments. • Crisis Management: Handle in-depth hands-on engagement with customers to resolve critical technical blockers during the NPI (New Product Introduction) and production phases. • Cross-Functional Leadership: Collaborate with NVIDIA worldwide hardware, firmware, software, and product teams to drive customer requirements and resolve issues. Act as the technical advocate for the customer within NVIDIA.

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.