NVIDIA is hiring a Senior Developer Advocate Engineer to own technical engagements for our Open Hackathons and Bootcamps program. You will collaborate with scientists at universities, supercomputing centers, and enterprises to help them use NVIDIA's accelerated computing stack, optimize codes and AI workflows, and build a community.
What You'll Do
- Stay abreast of the latest developments in HPC and AI technologies and develop proof-of-concept solutions for real-world scientific and enterprise applications.
- Build and refine training materials, and mentor team members at events.
- Collaborate and provide feedback to NVIDIA product teams to help with product adoption, bugs, feature requests, and additional activities through the hackathon program.
- Promote through publishing blogs and papers, facilitating presentations, and using other media to convey the impact of work accomplished at hackathons.
- Mentor developers and researchers to integrate NVIDIA technology using AI & HPC architecture to support scientific and enterprise applications.
- Strategize, identify, and assess potential sites, 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 improvement.
What We're Looking For
- 10+ years of enterprise or 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.
- 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, and interpersonal communication skills.
Nice to Have
- Experience in deploying and managing data center scale applications for HPC, ML & DL.
- Experience in using NVIDIA AI software stack for Research and deployments.
- Experience in using NVIDIA CUDA architecture for code optimizations.
- Experience in facilitating and instructing at group training events.
Technical Stack
- NVIDIA accelerated computing stack
- AI & HPC architecture
- NVIDIA CUDA architecture
- NVIDIA AI software stack
NVIDIA is an equal opportunity employer.
