英伟达Solution Architect – Accelerated Computing Libraries
任职要求
NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers, focusing on defining and solving computational challenges in LLM inference and training acceleration, as well as network communication and data transfer optimization. What You’ll Be Doing: • Drive the adoption of key NVIDIA AI and accelerated computing libraries across multiple industries by working closely with customers’ technical teams, local field teams, and global product teams. • Deeply understand customers’ workloads and requirements, and map them to NVIDIA libraries, identifying functional, performance, and usability gaps. • Design and validate solutions using NVIDIA libraries (e.g., for inference, training, data processing, and simulation), including PoCs, benchmarks, and best-practice reference designs. • Collaborate with NVIDIA product and engineering teams to prioritize and close key gaps through feature requests, performance tuning, and roadmap feedback, turning customer needs into concrete product improvements. • Build and maintain technical assets (sample code, reference implementations, design guides, internal playbooks) that help scale NVIDIA libraries to more customers and use cases. • Track and analyze industry trends and competitors’ solutions, and provide insights on how NVIDIA’s libraries should evolve to better meet market and customer expectations. What We Need to See: • 5+ years of experience in the technology industry in roles such as solutions architect, systems engineer, ML engineer, or software engineer, with a master’s degree or above in computer science, mathematics, electrical engineering, automation, or related fields. • Strong interest in accelerated computing, GPU computing, and AI software stacks, with the passion to go deep into ne…
工作职责
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• Understand China researcher and developer communities, Analyzing the technical requirement, identify needle moving projects. • Bridge NVIDIA tools with communities' requirements, Promote NVIDIA tools, libraries, and SDK’s with China researcher and developer communities, ISV and Service Providers. • Deeply understand AI4S, AI teaching, Agentic AI, Physical AI workflows and LLM breakthroughs, evolving ecosystem and alliances, attending conferences, building a network of influencers, and tracking opportunities in progress. • Discover new workflows, identify blockers to ISV adoption, and report back to the product teams. • Drive early adoption of new products and support launch and go-to-market activities. • Collaborate with NVIDIA business development managers, solution architects, developer technology engineers, developer marketing, product teams to engage with customers and communities. • We make heavy use of conferencing tools, but some travel is required. You are empowered to find the best way to get your job done and make our partners successful.
• Design and prototype scalable software systems that optimize distributed AI training and inference—focusing on throughput, latency, and memory efficiency. • Develop and evaluate enhancements to communication libraries such as NCCL , UCX , and UCC , tailored to the unique demands of deep learning workloads. • Collaborate with AI framework teams (e.g., TensorFlow, PyTorch, JAX) to improve integration, performance, and reliability of communication backends. • Co-design hardware features (e.g., in GPUs, DPUs, or interconnects) that accelerate data movement and enable new capabilities for inference and model serving. • Contribute to the evolution of runtime systems, communication libraries, and AI-specific protocol layers. • Collaborate with customers to understand their needs and provide innovative solutions for them.