Senior Solutions Architect, Higher Education and Research - Open Models and LLM

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

Zusammenfassung

NVIDIA seeks a Solutions Architect to partner with academia and researchers, driving joint research using NVIDIA's AI and HPC platforms. You will integrate frameworks, train models, and deliver hands-on trainings to elevate research adoption at scale.

Requirements include a STEM graduate degree, 5+ years in LLM lifecycles, strong collaboration skills, and excellence in Python and English. Travel ~30% of time; onsite in Munich area and surrounding labs.

Qualifikationen

• A STEM graduate degree from a leading university.
• 5+ years of hands-on experience with LLM life cycle across multi-node systems: training, fine-tuning, inference, serving, agentic workflows.
• Strong collaboration and communication skills with academia and researchers.
• Action oriented, analytical, self-motivated with strong organizational skills.
• Fluent in English (oral and written) and proficient in Python.

Aufgaben

• Partner with research labs, researchers, and university faculty as a technical advisor to drive joint research projects at supercomputing scale.
• Identify and accelerate high-impact workloads by integrating NVIDIA frameworks, libraries, and core software.
• Deliver hands-on trainings, workshops, and demos across NVIDIA platforms and mentor power users.
• Track emerging research trends and translate gaps into prototypical solutions and feedback to NVIDIA Engineering.
• Maintain deep domain expertise while staying versatile across GPUs, CPUs, networking, and software.

Kenntnisse

Python

English fluency

Stakeholder communication

Research collaboration

Ausbildung

Graduate degree in STEM

Tools

CUDA

CUDA-X libraries

NIM / Megatron Bridge

TensorRT-LLM

NeMo Framework

Triton Inference Server

NeMo Agent Toolkit

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. 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 their best work and make a lasting impact on the world. We are looking for a Solutions Architect's 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 modern AI and HPC research workloads 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 and Deep Learning, 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 o erings 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.
• 5+ years of hands-on experience running the large language model lifecycle across multi-node systems: training, fine-tuning, inference, serving, and/or agentic workflows.
• 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 on large language models or foundation models and their applications.
• 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 AI software stack, powered by CUDA and CUDA-X libraries, e.g. NVIDIA AI Enterprise, NeMo Framework, Megatron Bridge, NIM, TensorRT-LLM, Dynamo, NeMo Agent Toolkit, and Triton Inference Server, as well as the Nemotron open-model methodology.

As a Solutions Architect, there is travel involved (30% 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.