Senior Solutions Architect, Higher Education and Research

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 in the Greater London area to work with academia and researchpartners. Solutions Architects are the primary technical contacts for our customers and engage deeplywith researchers and application developers to drive the adoption of NVIDIA technology. We seek anindividual who combines an intricate understanding of Multimodal AI and Physical AI with expertise inaccelerated computing and architecture.

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.

• 5+ years in 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 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 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, as often the best way to figure things out is a face-toface 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.