Description
NVIDIA is seeking a Senior Solutions Architect to work with academia and research partners in the Greater London area. The ideal candidate will combine an understanding of modern AI and HPC research workloads with expertise in accelerated computing and architecture.
Job Summary: As a Solutions Architect, you will partner directly with leading research labs, researchers, and university faculty as a trusted technical advisor. You will develop a keen understanding of their scientific goals and drive joint research projects at supercomputing scale.
Key Responsibilities:
- Partner with leading research labs, researchers, and university faculty to 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.
- Advocate for accelerated computing and Deep Learning, and deliver hands-on trainings, workshops, lectures, and demonstrations across NVIDIA's platforms.
- 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.
Requirements:
- 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.
- Strong collaboration and communication skills, with the ability to build relationships with academic and research stakeholders.
- 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.
Nice to Have:
- 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.
Travel Requirements: 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.