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NVIDIA

Solution Architect - ISV for AI Infra

NVIDIA is hiring a Solution Architect - ISV for AI Infra in Beijing, China. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • On Level's scale, this solutions architect role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions Docker, Podman and Kubernetes among its tools and skills.
  • Level classes it as a senior role.
  • NVIDIA has 1,800+ other open roles on Level.

AI in this role

Architect scalable AI and GPU-accelerated cloud infrastructure solutions for industry software vendors.

dockerpodmankubernetes
gpu-architecturecloud-architecturehpcai-infrastructuresolution-architecture

NVIDIA is looking for an enthusiastic and forward-thinking solution architect to help in the enablement of Industry Software Vendors (ISVs). These ISVs are developing the Agentic AI stack for multiply workloads which will be used to empower industry customers.

As part of the Solution Architecture team, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Join the team and see how you can make a lasting impact on the world by applying AI technology to mass market.

What you'll be doing:

  • 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.

What we need to see:

  • 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.

Ways to stand out from the crowd:

  • Experience working with Independent Software Vendors (ISVs), enterprise software platforms, or technical partner ecosystems.

  • Deep expertise in AI infrastructure (AI infra) architecture, including large-scale CPU/GPU cluster design, AI job scheduling, and performance tuning for LLM training/inference.

  • Relevant cloud architecture certifications or deep expertise in building edge-to-cloud scalable AI infrastructures. 

  • Strong customer engagement skills with a proven record of helping partners and customers succeed through technical leadership and execution.

How we rate this

Solution Architect - ISV for AI Infra at NVIDIA rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

GPU ArchitectureCloud ArchitectureHpcAI InfrastructureSolution ArchitectureDockerPodmanKubernetes

Also common in solutions architect jobs at this level

Pay

Typical solutions architect job
$169k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs

Questions you could be asked

  1. Tell me about a project where gpu architecture was part of your work. What did you do?
  2. Tell me about a project where cloud architecture was part of your work. What did you do?
  3. Tell me about a project where hpc was part of your work. What did you do?
  4. Tell me about a project where ai infrastructure was part of your work. What did you do?
  5. Tell me about a project where solution architecture was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: GPU Architecture, Cloud Architecture, Hpc, AI Infrastructure, and Solution Architecture. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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