6 days ago
Responsibilities
- Advise research labs, researchers, and university faculty on scientific workloads and NVIDIA technology adoption.
- Develop and support joint research projects at supercomputing scale.
- Integrate NVIDIA frameworks, libraries, and core software into research projects.
- Support large language model training, fine-tuning, inference, serving, and agentic workflows across multi-node systems.
- Deliver hands-on trainings, workshops, lectures, and demonstrations and mentor advanced users.
- Track research trends, develop prototype solutions, and provide feedback to NVIDIA Engineering.
- Promote accelerated computing and deep learning through publications, conference presentations, and technical content.
Requirements
- Graduate degree in a STEM-related discipline from a leading university.
- At least 5 years of hands-on experience with the large language model lifecycle across multi-node systems.
- Strong collaboration, communication, analytical, organizational, and relationship-building skills.
- Fluency in spoken and written English and comfort working with Python.
- Preferred: PhD in a STEM-related discipline and 3+ years of research on large language models or foundation models.
- Preferred: High-impact publications, academic conference or workshop talks, and familiarity with scientific policy, grant processes, or national and European research programs.
- Preferred: Experience with NVIDIA AI software, CUDA, CUDA-X libraries, NVIDIA AI Enterprise, NeMo Framework, Megatron Bridge, NIM, TensorRT-LLM, Dynamo, NeMo Agent Toolkit, Triton Inference Server, and Nemotron open-model methodology.
Benefits
- Greater London area position with approximately 30% travel.
- Flexible use of conferencing tools and autonomy in determining how to support customers.
Tech Stack
NimPython
Categories
Solutions Engineering
About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.