Our day-to-day work involves helping our partners be successful in their adoption of end-to-end AI solutions using NVIDIA's compute, networking, and software stacks.
Having a deep technical understanding of NVIDIA Reference Architectures, and using that understanding to enable customers adopting our CPU-based solutions as part of the overall NVIDIA AI Factory.
Being comfortable working on not just hardware and software elements, but also the larger AI workflow and operationalization of large scale compute resources.
As the technical leader for the CPU components within the NVIDIA AI Factory, you will play an instrumental role in driving that success.
Sharing knowledge with our colleagues, whether it's delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs.
Collaborating with executives and engineering to tackle sophisticated problems and help bring NVIDIA's premiere technologies to life.
Requirements
Experience with defining, deploying, and testing large scale reference architectures for High Performance Computing and AI.
A track record of defining and using MLOps and AI workflow tools and processes.
6 or more years of hands-on expertise with modern data center architectures and interaction between CPUs, GPUs, and networking.
Strong foundational expertise and a BS, MS, or equivalent experience in Engineering.
Strong analytical and problem-solving skills, along with an ability to articulate what you know to others.
Ability to multitask efficiently in a multifaceted environment.
Experienced with organizing, presenting, and discussing technical materials with groups that can be comprised of a range of technical capability.
Flexibility to adapt in fluid situations, especially with partners or customers.
Comfortable with occasional travel to customer sites.