Senior Solutions Architect, Higher Education and Research, Multimodal and Physical AI

NVIDIA AI; München; Vor Ort; EUR 110.000 - 180.000; Vollzeit

Zusammenfassung

NVIDIA in Munich seeks a Solutions Architect to collaborate with leading researchers and university labs, driving adoption of NVIDIA AI across multimodal and physical AI domains. You will work with researchers to integrate NVIDIA’s frameworks, mentor power users, and deliver hands-on trainings across platforms.

Travel about 20% is expected; you will stay current with CUDA/CUDA-X, NeMo, Megatron and other tools while shaping solutions for scientific challenges in a fast-paced environment.

Qualifikationen

• Graduate degree in a STEM discipline or equivalent experience.

Aufgaben

• Partner with labs and researchers to drive joint research at supercomputing scale.
• Identify workloads by integrating NVIDIA frameworks into research projects and support publications.
• Deliver hands-on trainings, workshops, and demonstrations across NVIDIA platforms.
• Provide feedback to NVIDIA Engineering on gaps between researcher needs and offerings.
• Maintain deep expertise while staying versatile across GPUs, CPUs, networking, and software.

Kenntnisse

Fluent English

Python

Communication skills

Collaboration

Analytical mindset

Ausbildung

Graduate degree in STEM

PhD in STEM (stand-out)

Tools

CUDA

CUDA-X

TensorRT

NeMo Framework

Megatron

MONAI

Cosmos world foundation models

Isaac robotics platform

NuRec

Jobbeschreibung

Job Requisition ID JR2024875

Job Category Sales

Time Type Full time

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. Doing what 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 do your best work and make a lasting impact on the world.

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. We seek an individual who combines an intricate understanding of Multimodal AI and Physical AI with expertise in accelerated computing and architecture.

What You Will Be Doing

• 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

What We Need To See

• A graduate degree from a leading university in a STEM related discipline or equivalent 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.
• 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 organization 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 in the domain.
• A track record of thought leadership: high-impact publications, talks at academic conferences and workshops, as well as good understanding of scientific policy engagement, grant processes, or national/European research program structures.
• Experience with NVIDIA's stack for visual and multimodal AI, built on CUDA and CUDA-X, including Cosmos world foundation models, NeMo Framework and Megatron for multimodal model training, multimodal Nemotron methodology, Isaac robotics platform, NuRec for neural reconstruction, TensorRT and NIM for deployment, and domain frameworks such as MONAI for medical imaging.

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