The point where experts and best companies meet
Share
What you’ll be doing:
Assist in supporting industry accounts and drivingresearch/influencing/newbusiness in those accounts.
Assistresearchers/engineerson their GPU applications.
Deliver technical projects, demos and client support tasks as directed by the Solution Architecture leadership team.
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, Signal Processing 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:
5+ years’ experience withresearch/development/applicationof 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/Java/Scalaprogramming 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 experience.
Ways to stand out from the crowd:
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.
These jobs might be a good fit