Senior Solutions Architect, Higher Education and Research, AI and HP

NVIDIA; München; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

NVIDIA Munich seeks a Solutions Architect to collaborate with academia and research partners, serving as a technical advisor and driving adoption of NVIDIA technologies for high-performance computing and AI workloads.

You will work across GPUs, CPUs, networking and software, architect scalable solutions, and deliver hands-on trainings and demonstrations to researchers and developers.

Qualifikationen

• Graduate degree in a STEM field or equivalent experience.
• 5+ years in HPC and AI, running scientific workloads at scale on multi-node GPU systems.
• Strong collaboration and communication skills with researchers and academics.
• Fluent in English, both oral and written, and capable of Python.

Aufgaben

• Partner with research labs and university faculty as a trusted technical advisor to drive joint research at supercomputing scale.
• Integrate NVIDIA frameworks and core software into research projects to amplify impact via publications and talks.
• Deliver trainings, workshops, lectures, and demonstrations across NVIDIA platforms to empower researchers.
• Translate research needs into prototypical NVIDIA solutions and provide direct feedback to NVIDIA Engineering.
• Maintain deep expertise across GPUs, CPUs, networking and software while staying versatile across NVIDIA's platform.

Kenntnisse

HPC & AI

Python

Communication

English proficiency

Ausbildung

STEM graduate degree

Tools

CUDA

CUDA-X libraries

Jobbeschreibung

NVIDIA has been redefining computer graphics and accelerated computing for three decades. Today, we are tapping into the unlimited potential of AI to define the next era of computing. Doingwhat has never been done before takes vision, innovation, and exceptional talent. As an NVIDIAN,you will be immersed in a diverse, supportive environment where everyone is encouraged to dotheir best work and make a lasting impact on the world.
We are looking for a Solutions Architect to work with academia and research partners. SolutionsArchitects are the primary technical contacts for our customers and engage deeply withresearchers and application developers to drive the adoption of NVIDIA technology. We seek anindividual who combines an intricate understanding of high-performance computing and scientificcomputing, and of how AI methods are reshaping both, with expertise in accelerated computingand architecture.

What you will be doing:

• Partner directly with leading research labs, researchers, and university faculty as a trustedtechnical advisor: develop a keen understanding of their scientific goals and drive joint researchprojects 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 impactthrough 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 mentorpower users to become NVIDIA champions.

• Track emerging research trends and turn gaps between researcher needs and NVIDIA's offeringsinto 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.

What we need to see:

• A graduate degree from a leading university in a STEM related discipline or equivalent experience.

• 5+ years in the intersection of HPC and AI, running scientific workloads at scale onmulti-node GPU systems and applying machine learning to the same problems.

• Strong collaboration and communication skills, with the ability to build relationships withacademic and research stakeholders, and to communicate complex ideas clearly to bothexpert and non-expert audiences.

• Action oriented, analytical, self-motivated, and a passionate learner, with excellentorganization skills to work in a heavily multi-tasked environment.

• Fluent in English, both oral and written, and comfortable working in Python.

Ways to stand out from the crowd:

• A PhD from a leading university in a STEM related discipline, with 3+ years of research incomputational science in combination with AI.

• A track record of thought leadership: high-impact publications, talks at academic conferencesand workshops, as well as good understanding of scientific policy engagement, grantprocesses, or national/European research program structures.

• Experience with NVIDIA's accelerated computing stack for science, powered by CUDA andCUDA-X libraries, e.g. PhysicsNeMo, Warp, cuEquivariance, ALCHEMI, Omniverse.

As a Solutions Architect, there is travel involved, as often the best way to figure things out is a faceto-face meeting, but the job is not life on the road. We make heavy use of conferencing tools, andyou are empowered to figure out how to get the job done and do what it takes to make ourcustomers successful.