Nvidia Developer Advocate Engineer 

United States, Texas 

178866874

What you’ll be doing:

• Stay abreast of the latest developments in HPC & AI technologies and develop proof of concept for real-world scientific and enterprise applications.

• Build and refine training materials, and mentor team members at the events.

• Collaborate and provide feedback to NVIDIA product teams to help with product adoption, bugs, feature requests, and 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.

• Mentor developers and researchers to integrate NVIDIA technology using AI & HPC architecture to support scientific and enterprise applications.

• Assist in recruiting sites, identifying mentors, and key applications for Open Hackathons and Bootcamps.

• Assess each hackathon's computing and software infrastructure.

• Write comprehensive internal feedback reports and find opportunities for improvements.

What we need to see:

• 8+ Years of enterprise and academic experience in the Artificial Intelligence and High Performance Computing domain.

• Master's degree in Science or Computer Engineering (or equivalent experience)

• Fluent in using NVIDIA accelerated computing stack for HPC and AI workloads

• Experience working with DevOps including but not limited to Docker/Containers, Kubernetes, and data center deployments.

• 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 partners' goals, 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:

• Experience in using Cloud API and Microservices for HPC, ML & DL.

• Background in using NVIDIA AI software stack for Enterprise and Data Science Workloads.

• Experience in using NVIDIA CUDA architecture for code optimizations.

• Experience in facilitating and instructing at group training events.