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

NVIDIA; München; On-site; EUR 100,000 - 180,000; Full time

Job summary

NVIDIA Munich seeks a Solutions Architect to collaborate with academia and research partners, driving the adoption of NVIDIA AI across multimodal and physical AI workloads.

You will partner with leading labs, integrate CUDA/X, mentor power users, and present at conferences while traveling up to 20% of the time.

Qualifications

• Graduate degree in STEM or equivalent experience.
• 5+ years in multimodal and world model lifecycles on multi-node GPU systems.
• Strong collaboration with academic and research stakeholders.
• Action-oriented, analytical, and highly organized with strong multitasking.
• Fluent in English (oral and written); comfortable with Python.

Responsibilities

• Partner with labs and researchers to drive joint research projects at supercomputing scale.
• Integrate NVIDIA frameworks into research projects and amplify impact via publications and talks.
• Advocate accelerated computing, robotics, Multimodal AI and deliver trainings, workshops and demos.
• Track emerging research trends and translate gaps into prototype solutions.
• Maintain deep domain expertise across GPUs, CPUs, networking and software.

Skills

Multimodal AI

World model lifecycle

Python

English (Fluent)

Education

Master's degree in STEM

PhD in STEM

Tools

CUDA/CUDA-X

Megatron for multimodal models

NeMo Framework

TensorRT

Cosmos world foundation models

MONAI

Isaac robotics platform

NIM

Job description

NVIDIA has been redefining computer graphics and accelerated computing for three decades. Today, weare tapping into the unlimited potential of AI to define the next era of computing. Doing what has neverbeen done before takes vision, innovation, and exceptional talent. As an NVIDIAN, you will be immersedin a diverse, supportive environment where everyone is encouraged to do their best work and make alasting 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 with researchers andapplication developers to drive the adoption of NVIDIA technology. We seek an individual who combinesan intricate understanding of Multimodal AI and Physical AI with expertise in accelerated computing andarchitecture.

What you will be doing:

• Partner directly with leading research labs, researchers, and university faculty as a trusted technicaladvisor: develop a keen understanding of their scientific goals and drive joint research projects atsupercomputing scale.

• Identify and accelerate high-impact workloads by integrating NVIDIA's frameworks, libraries, andcore software stack into research projects, and help researchers amplify their impact throughpublications, conference presentations, and technical content.

• Advocate for accelerated computing, robotics, Multimodal AI and Physical AI, and deliver hands-ontrainings, workshops, lectures and demonstrations across NVIDIA's platforms, and mentor powerusers to become NVIDIA champions.

• Track emerging research trends and turn gaps between researcher needs and NVIDIA's offerings intoprototypical 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 efficientinference.

• Strong collaboration and communication skills, with the ability to build relationships with academicand research stakeholders, and to communicate complex ideas clearly to both expert and non-expertaudiences.

• Action oriented, analytical, self-motivated, and a passionate learner, with excellent organizationskills 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 andworkshops, as well as good understanding of scientific policy engagement, grant processes, ornational/European research program structures.

• Experience with NVIDIA's stack for visual and multimodal AI, built on CUDA and CUDA-X, includingCosmos 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 areempowered to figure out how to get the job done and do what it takes to make our customerssuccessful