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Solution Architect ISV - Robotics

NVIDIA· Architect, Solutions
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Hybrid (Shenzhen), Hybrid (Shanghai), Hybrid (Beijing)Not specifiedPosted 4mo ago

About the role

NVIDIA solution architect role focused on enabling Industry Software Vendors (ISVs) to develop and deploy Agentic AI stacks. Involves guiding ISVs and customers to NVIDIA-based solutions, integrating NVIDIA SDKs, supporting POC and production adoption, and collaborating across HQ teams to ensure successful ISV engagements.

Responsibilities

  • Work with ISVs and end customers to understand their software architecture, technical requirements, and business workflows, then guide them toward the best NVIDIA-based solution.
  • Help ISVs integrate the right NVIDIA SDKs, libraries, and platform capabilities into their existing applications to accelerate performance, enrich functionality, and improve customer outcomes.
  • Support technical discovery, proof-of-concept development, solution validation, and production adoption for industry software platforms.
  • 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 workflow bottlenecks, application behavior, and deployment trade-offs, then recommend practical architectures that improve performance, scalability, and usability for customers.

Qualifications

  • MS, PhD in Computer Science, Electrical Engineering, Software Engineering, or related fields (or equivalent experience).
  • 5+ years of relevant work experience in solution architecture, technical consulting, developer relations, platform engineering, or a related customer-facing technical role.
  • Strong industry background with domain expertise and an understanding of real-world enterprise workflows in one or more verticals.
  • Working knowledge of GPU architecture fundamentals and how GPU computing can accelerate software applications and industry workloads.
  • Experience supporting customers or software partners through integration, optimization, deployment, and adoption of technical solutions.
  • Good understanding of Agentic AI concepts, application patterns, and enabling technologies, with practical familiarity in CUDA, accelerated AI pipelines, model integration, or AI-based workflow orchestration.
  • Ability to communicate with both technical and business customers, translate sophisticated requirements into actionable solutions, and work effectively across multi-functional teams.
  • Strong written and oral communication skills in English, with the ability to collaborate effectively with global management, engineering, and partner teams.
Last updated Jun 26, 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.

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