Solution Architect--AI and Industrial



Software Engineering, IT, Data Science
Multiple locations
Posted on Friday, October 20, 2023

NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC , VISUAL, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers. You will work closely with HK industry sales, developer relationship managers, NVAITC SAs and product teams in the hiring position.

Solution Architect-AI and Industrial-HongKong

What you’ll be doing:

  • Assist in supporting enterprise major accounts in all industries and driving NVIDIA platform adoption business in HongKong

  • Engagement with HK customers on technical support including presentations, applications GPU testing, solution design, SDK adoptions, etc

  • Deliver technical projects, demos, solutions and client support tasks with the To4 strategy.

  • Provide technical support for GPU system deployments.

  • Be an industry thought leader on integrating NVIDIA technology into applications built on Deep Learning, High Performance Data Analytics, Robotics, Metaverse and other key applications.

  • Be an internal champion for Data Analytics, Machine Learning, and Cyber among the NVIDIA technical community.

What we need to see:

  • Good knowledge in AI industries.

  • 3+ years of research experience on AI, HPC and GPU programming

  • Outstanding verbal and written communication skills

  • Ability to work independently with minimal day-to-day direction

  • C/C++/Python/Java/Scala programming experience

  • Desire to be involved in multiple diverse and innovative projects

  • Experience using scale-out cloud and/or HPC architectures for parallel programming

  • MS or PhD in Engineering, Mathematics, Physics, Computer Science, Data Science, Neuroscience, Experimental Psychology or equivalent work experience.

Ways to stand out from the crowd:

  • Acceleration computing background preferred.

  • Experience with AI frameworks and tools.

  • CUDA optimization experience.

  • Extensive experience designing and deploying large scale HPC and enterprise computing systems.

  • Top Conference paper publications