Senior AI Solutions Architect for Research & Accel Compute

NVIDIA; Reading; On-site; GBP 90,000 - 130,000; Full time

Job summary

NVIDIA is seeking a Solutions Architect to collaborate with leading research labs and university faculty in the Greater London area. You will drive joint research projects at supercomputing scale, integrating NVIDIA frameworks into labs’ workflows and boosting publications and demonstrations.

The role requires a graduate STEM degree, 5+ years in multimodal AI on multi-node GPU systems, and strong English communication.

Qualifications

• 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 efficient inference.
• Fluent in English, both oral and written, and comfortable working in Python.
• 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.

Responsibilities

• Partner with research labs, researchers, and university faculty as a trusted technical advisor and drive joint research projects at supercomputing scale.
• Identify and accelerate high-impact workloads by integrating NVIDIA's frameworks and core software into research projects, aiding publications and talks.
• Advocate for accelerated computing, robotics, Multimodal AI and Physical AI, and deliver trainings and demonstrations across NVIDIA's platforms.
• Track emerging research trends and translate gaps into prototypical solutions with feedback to NVIDIA Engineering.
• Maintain deep domain expertise while staying versatile across NVIDIA's GPUs, CPUs, networking, and software.

Skills

Multimodal AI

World model lifecycle

Collaboration

Communication

Python

Education

Graduate degree in STEM

PhD preferred

Tools

CUDA

CUDA-X

TensorRT

Megatron

MONAI

NeMo

Job description

NVIDIA is seeking a Solutions Architect to collaborate with leading research labs and university faculty in the Greater London area. You will drive joint research projects at supercomputing scale, integrating NVIDIA frameworks into labs’ workflows and boosting publications and demonstrations.

The role requires a graduate STEM degree, 5+ years in multimodal AI on multi-node GPU systems, and strong English communication.