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Senior Solutions Architect, AI - Accelerated Physics - NVIDIA
Solutions Architect
Lead technical partnership for universities and research institutes, driving accelerated physics simulations and AI surrogates on NVIDIA platforms using Python, C++, CUDA, HPC, and machine learning.
About the role
Key Responsibilities
- Collaborate with academic researchers to design and implement high‑performance physics simulations and AI models on NVIDIA GPUs.
- Architect end‑to‑end solutions that integrate CUDA, Python, and C++ for scalable scientific workloads.
- Provide technical guidance on HPC best practices, performance tuning, and resource optimization.
- Develop and deliver workshops, demos, and documentation to enable researchers to leverage GPU acceleration.
- Act as a liaison between research teams and NVIDIA product groups to shape future platform capabilities.
Requirements
- 10+ years of experience in scientific computing, HPC, or related fields.
- Proficiency in Python, C++, and CUDA programming.
- Deep understanding of machine learning frameworks (e.g., PyTorch, TensorFlow) and their application to scientific problems.
- Experience with large‑scale simulation workflows and performance profiling.
- Excellent communication skills and a passion for teaching complex concepts to non‑technical audiences.
Skills
pythonccudamachine learning