Solution Architect - Top AI Labs

NVIDIA NVIDIA · Semiconductors · Beijing, China +1

Solution Architect role focused on designing AI computing platform architectures and supporting top AI Labs and model builders in integrating NVIDIA technologies for Deep Learning, HPC, Robotics, and Signal Processing applications. Requires experience with ML, data analytics, computer vision, and parallel programming on cloud/HPC architectures.

What you'd actually do

  1. Assist in supporting industry accounts and driving research/influencing/new business in those accounts.
  2. Assist researchers/engineers on their GPU applications.
  3. Deliver technical projects, demos and client support tasks as directed by the Solution Architecture leadership team.
  4. Provide technical support for GPU system deployments.
  5. Be an industry thought leader on integrating NVIDIA technology into applications built on Deep Learning, High Performance Data Analytics, Robotics, Signal Processing and other key applications.

Skills

Required

  • MS or PhD in Engineering, Mathematics, Physics, Computer Science, Data Science, Neuroscience, Experimental Psychology or equivalent experience
  • 3+ years’ experience with research/development/application of Machine Learning, data analytics, or computer vision work flows
  • Outstanding verbal and written communication skills
  • Ability to work independently with minimal day-to-day direction
  • C/C++/Python programming experience
  • Desire to be involved in multiple diverse and innovative projects
  • Experience using scale-out cloud and/or HPC architectures for parallel programming

Nice to have

  • AIGC/LLM/NLP experience
  • CUDA optimization experience
  • Experience with Deep Learning frameworks and tools
  • Extensive experience designing and deploying large scale HPC and enterprise computing systems

What the JD emphasized

  • 3+ years’ experience with research/development/application of Machine Learning, data analytics, or computer vision work flows
  • C/C++/Python programming experience
  • Experience using scale-out cloud and/or HPC architectures for parallel programming

Other signals

  • designing AI computing platform architecture
  • supporting top AI Labs and top model builders
  • GPU applications
  • Deep Learning, High Performance Data Analytics, Robotics, Signal Processing