Job
- Level
- Senior
- Location
- Munich
- Working Model
- Onsite
- Job Field
- Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you develop solutions by collaborating closely with research labs, supporting them on scientific projects by integrating NVIDIA technologies and leading workshops to advance their research impact.
Job Technologies
Your role in the team
- 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 and AI methods for scientific discovery, 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.
This text has been machine translated. Show original
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 in the intersection of HPC and AI, running scientific workloads at scale on multi-node GPU systems and applying machine learning to the same problems.
This text has been machine translated. Show original
What we offer
- As a Solutions Architect, there is travel involved, 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.
This text has been machine translated. Show original
Topics You Will Work On
Job Locations
About Your Employer
Nvidia
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.
Description
- Founding Year
- 1999
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Trade
Senior Solutions Architect
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
