High Performance Computing (HPC) and Artificial Intelligence (AI) are key markets for NVIDIA. Researchers and scientists actively embrace full-stack optimizations to accelerate their workloads and research. To help them onboard Accelerated Computing, NVIDIA leads a series of hackathons and bootcamps in partnership with national laboratories, universities, and enterprises. Hackathons are short—typically week-long—intensive coding sessions where experienced mentors team up with groups of researchers and data scientists to guide them through the acceleration or optimization of their projects across accelerated infrastructure and enterprise-grade software, using a variety of programming models, frameworks, and tools.
We are looking for a Senior Developer Advocate Engineer to own the technical engagements for a rapidly growing Open Hackathons and Bootcamps program. In this position, you will closely collaborate with scientists at universities, supercomputing centers, and enterprise organizations to help their users start using the NVIDIA accelerated computing stack (CPU and GPU technologies) for their work, optimize codes and AI workflows, promote their research, and build a growing community. You will build strategic relationships with our partners, mentor at hackathons, and help craft materials to educate attendees and prepare them for hackathons. Do you have a passion for research, connecting people, and mentoring? If so, we would like to speak with you right away!
What You’ll Be Doing
- 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 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.
What We Need To See
- 8+ Years of enterprise/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.
Ways To Stand Out From The Crowd
- Experience in deploying and managing data center scale applications for HPC, ML & DL.
- Past work using NVIDIA AI software stack for Research and deployments.
- Worked in NVIDIA CUDA architecture for code optimizations.
- Experience in facilitating and instructing at group training events.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until July 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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