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What you’ll be doing:
Recruit sites that will host successful hackathons/bootcamps and guide their team members through the planning process
Assess each hackathon's resource requirements and identify gaps to delivering a quality experience for all participants.
Identify and recruit key codes to participate in collaboration with hosting sites, national labs, enterprises, and NVIDIA teams.
Assist with identifying and recruiting mentors.
Moderate events, build and refine training materials, and mentor team members at the events.
Secure and manage when needed GPU resources for events.
Write comprehensive internal feedback reports and find opportunities for improvements.
Collaborate with NVIDIA product teams to help with product adoption, bug, feature requests, and any additional activities through our hackathon program.
Promote through publishing blogs and papers, facilitating presentations, and using other media that convey the impact of the work accomplished by teams at the hackathons.
Support ongoing post-event communications with hackathon attendees and mentors to track team progress, assist with further GPU porting, and inform readers of mentor opportunities.
Deliver feedback to tool providers and other partners in the form of lessons learned that would facilitate the adoption and use of GPUs.
What we need to see:
10+ Years of Supercomputing or Academic experience in HPC/AI domain
Bachelor's degree in Science or Computer Engineering (or equivalent experience)
Fluent in GPU programming
Experience in using AI for Scientific Domains
Capability to think strategically, while jumping directly into day-to-day event and account management
Ability to thrive in a highly dynamic environment and to lead change through multi-functional teamwork.
Proven ability to understand the goals of a number of partners, and distill that feedback into an action plan that addresses core needs.
Excellent verbal, written communication, and interpersonal skills.
Ways to stand out from the crowd:
Masters is preferred.
Project Experience in using NVIDIA CUDA-X HPC and AI software stack for Scientific Workloads.
Experience in facilitating and instructing at group training events.
Passion for data management.
You will also be eligible for equity and .
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