← All roles

Solution Architect - ISV for AI Infra

NVIDIA· Architect, Solutions
Apply on company site
Beijing, Shanghai, Shenzhenfull-timePosted 4mo ago

About the role

Solution Architect focused on enabling Industry Software Vendors (ISVs) in the Agentic AI stack, guiding hybrid/multi-cloud GPU-accelerated deployments and AI infrastructure design for enterprise workloads.

Responsibilities

  • Work with ISVs and end customers to understand their system architecture, technical requirements, and business workflows, then guide them toward the best NVIDIA-based solution.
  • Architect hybrid and multi-cloud AI solutions, guiding ISVs and customers on deploying GPU-accelerated workloads across major public clouds and private data centers.
  • Design and optimize scalable AI infrastructure solutions, providing best-practice guidance on configuring CPU/GPU servers, storage, and networking for high-performance workloads.
  • Support technical discovery, proof-of-concept development, infrastructure validation, and production adoption for industry software platforms.
  • Provide technical leadership in deploying AI applications across diverse environments, including bare-metal servers, virtualized instances, and cloud-native containerized clusters.
  • Collaborate with headquarters engineering, product, and partner teams in English to resolve technical issues, influence roadmap alignment, and ensure strong execution for strategic ISV engagements.
  • Analyze infrastructure bottlenecks, cluster behavior, and deployment trade-offs, then recommend practical architectures that improve performance, scalability, and usability for customers.

Qualifications

  • MSc/PhD in Computer Science, Electrical Engineering, IT Infrastructure, or related field (or equivalent experience).
  • 3+ years in infrastructure/cloud architecture, technical consulting, or customer-facing technical roles.
  • Strong domain expertise with understanding of enterprise infrastructure and real-world workflows.
  • Knowledge of GPU architecture and its application in accelerating modern workloads.
  • Hands-on experience with enterprise IT infrastructure, including CPU/GPU servers, data centers, and HPC environments.
  • Experience with major cloud platforms, especially GPU-accelerated instances and AI services.
  • Proficiency in cloud-native tech, containerization (Docker/Podman), and orchestration tools (Kubernetes/Slurm).
  • Strong communication skills to translate technical concepts for business stakeholders and collaborate across global teams.

Skills

Required:Solution architecture (infrastructure)Cloud platforms (GPU instances)Containerization and orchestrationCommunication
Nice to have:ISV/customer engagement

Benefits

  • Not specified in the description
Last updated Jul 3, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA