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. If interested, do not hesitate to apply online, we are exciting to talk with you!
What you’ll be doing:
Presenting 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. This can vary from making targeted training for customers and other Solutions Architects, giving nice hands-on demos, writing whitepapers, blogs, and wiki articles, recording short videos, to simply working through hard problems with a partner on a whiteboard.
What we need to see:
BS, MS, or PhD. Experience with GPU, DPU, Linux, CUDA, DL, ML.
3+ years of work-related experience in software development, CUDA or deep learning frameworks.
Strong engineering foundation in computer vision and deep learning and deep understanding of LLM training and inference.
Clear written and oral communications skills with the ability to efficiently collaborate with management and engineering.
Excellent planning skills, while being dedicated with a focus on execution and quality.
Strong analytical and problem-solving skills.
Ways to stand out from the crowd:
Experience with VLM, world model development and hands-on.
Familiar with robotics simulation and robot learning workflow.
Passion for providing mentorship, issue debugging and building repeatable environments.
Capable and willing to solve problems in unfamiliar areas.