Job
In this role, you closely collaborate with research and academic partners, support the integration of NVIDIA technologies, and drive high-performance computing projects.
This listing has been machine translated. Show original
Job technologies
Your role in the team
- We are looking for a Solutions Architect to work with academia and research partners. Solutions Architects are the primary technical contacts for our customers and engage deeply with researchers and application developers to drive the adoption of NVIDIA technology.
- Partner directly with leading research labs, researchers, and university faculty as a trusted technical advisor: develop a keen understanding of their scientific goals and drive joint research projects at supercomputing scale.
- Identify and accelerate high-impact workloads by integrating NVIDIA's frameworks, libraries, and core software stack into research projects, and help researchers amplify their impact through publications, conference presentations, and technical content.
- Advocate for accelerated computing, robotics, Multimodal AI and Physical AI, and deliver hands-on trainings, workshops, lectures and demonstrations across NVIDIA's platforms, and mentor power users to become NVIDIA champions.
- Track emerging research trends and turn gaps between researcher needs and NVIDIA's offerings into prototypical solutions and direct feedback to NVIDIA Engineering.
- Maintain deep expertise in your domain while staying versatile across NVIDIA's full platform: GPUs, CPUs, networking, and software.
Our expectations of you
Education
- A graduate degree from a leading university in a STEM-related discipline or equivalent experience.
Qualifications
- Strong collaboration and communication skills, with the ability to build relationships with academic and research stakeholders, and to communicate complex ideas clearly to both expert and non-expert audiences.
- Action-oriented, analytical, self-motivated, and a passionate learner, with excellent organizational skills to work in a heavily multi-tasked environment.
- Fluent in English, both oral and written, and comfortable working in Python.
Experience
- 5+ years across the multimodal and world model lifecycle on multi-node GPU systems: video and image data curation at scale, pre-training and post-training, evaluation, and efficient inference.
What we offer
- As a Solutions Architect, there is travel involved (20% of the working time), as often the best way to figure things out is a face-to-face meeting, but the job is not life on the road. We make heavy use of conferencing tools, and you are empowered to figure out how to get the job done and do what it takes to make our customers successful.
Topics you will work on
Job locations
About your employer
For the past two decades, NVIDIA has been constantly reinventing itself. The invention of the GPU by NVIDIA in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing.
- 1999
- English
- Established Company
- Onsite, Hybrid, Full Remote
- Trade
More jobs
These jobs might also interest you
Hello, let's say WE! We - the HUK-COBURG Insurance Group - are among the top 10 in Germany. Founded over 90 years ago, we are now the leading insurer for private households with over 13 million customers and the largest German auto insurer. Our...
You actively shape the technical development of our software products and influence their long-term architecture. You develop our core applications primarily using C# as the central programming language and technological foundation. You design, develop,...
The role As a Forward Deployed AI Engineer, you go directly into our specialist departments, understand the processes, and develop production-ready AI and automation solutions that will fundamentally change the way the entire GGW Group operates. You do...
