Senior Solution Architect

at Nvidia
📍 Beijing, China
USD 100,000-150,000 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 6 Linux @ 4 Machine Learning @ 4 Communication @ 4 Debugging @ 4 LLM @ 7 CUDA @ 4 GPU @ 4

Details

We are now looking for a Senior Solutions Architect, an outstanding engineer able to engage with developers, researchers, and decision makers. We need individuals who can use AI to improve system efficiency and develop close relationships with our industry customers, making NVIDIA a great part of end-user solutions.

NVIDIA is the world leader in GPU accelerated computing and is looking for Solution Architects to engage our customers. The Senior Solution Architect will work closely with the industry customers in our China region - establishing relationships, solving problems with their engineering teams, and helping them to build a successful NVIDIA practice.

Responsibilities

  • Present NVIDIA’s full stack Artificial Intelligence solutions, and end to end platform technology to customers and partners. With in-depth hands-on engagements with customers or NVIDIA partners on complicated Datacenter projects.
  • Assist field business development in guiding the customer through the sales process for NVIDIA solution.
  • Understand and analyze customer requirements, support the solution design and development of applications.
  • Team work across the company to guide the direction of accelerated computing, working with software, research, and product teams.
  • Document the learnings to guide others through training, demos, writing whitepapers, blogs, wiki articles, videos, or problem-solving with partners.

Requirements

  • BS, MS, or PhD degree.
  • Experience with GPU, DPU, Linux, CUDA, Deep Learning (DL), Machine Learning (ML).
  • 3+ years of work-related experience in software development, CUDA, or deep learning frameworks.
  • Strong engineering foundation in computer vision, deep learning, and deep understanding of Large Language Model (LLM) training and inference.
  • Excellent communication skills for collaborating with management and engineering.
  • Strong planning, execution, quality focus, analytical and problem-solving skills.

Preferred Qualifications

  • Experience with Vision-Language Models (VLM), world model development.
  • Familiarity with robotics simulation and robot learning workflow.
  • Passion for mentorship, issue debugging, building repeatable environments.
  • Willingness and capability to solve problems in unfamiliar areas.