NIM Solution Architect

Posted:
9/2/2024, 6:50:42 AM

Location(s):
Shanghai, China ⋅ Beijing, China

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Software Engineering

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 NVAIE teams, HQ NIM teams and other SAs in the hiring position to deliver total NVIDIA solution to our customers.

What you’ll be doing:

  • Assist in supporting NVAIE team and driving NVAIE business in China.

  • Assist top NVAIE partners and LHA on POCs/Solution Design/Other Technical support.

  • Deliver technical projects, demos and client support tasks as directed by the Solution Architecture leadership team.

  • Provide technical support for NVAIE + GPU/Network systems.

  • Be an industry thought leader on integrating NVIDIA technology especially NVAIE into LHA, business partners and whole community

  • Be an internal champion for NVIDIA software and total solutions in technical community.

What we need to see:

  • 3 years’ experience with job scheduler, resource management, cluster management, MLops area.

  • 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, job scheduling (K8S, Slurm, grid engine, PBS, etc), container management, parallel programming.

  • MS or PhD in Engineering, Mathematics, Physics, Computer Science, Data Science, or equivalent experience.

Ways to stand out from the crowd:

  • Experience on cluster resource management tools

  • Experience with Deep Learning frameworks and tools.

  • CUDA optimization experience.

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