Work with financial institutions and their technology ecosystem to leverage NVIDIA's advanced technologies
Guide customers in implementing next-generation model distillation, domain adaptation, reinforcement learning (RL), and post-training algorithms
Work closely with product management, engineering, applied research, and sales teams to develop and deliver comprehensive solutions
Improve NVIDIA products and build creative solutions to overcome scaling challenges at the intersection of computer architecture, libraries, and AI applications
Contribute to the wider organization and community by sharing your expert knowledge, contributing to open-source projects, or delivering hands-on training
Be part of the team that helps bring NVIDIA technology to life in the Enterprise, acting as the face and trusted expert advisor that our customers and partners rely on

BS, MS, or PhD degree in Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related technical field
Proven experience working within Financial Services firms
5+ years of experience with AI frameworks such as PyTorch, JAX, or TensorFlow, and libraries like Hugging Face Transformers
Strong Python programming, software design, and debugging skills
Deep understanding of distributed computing and parallelism methodologies coupled with a good understanding or hands-on experience with CUDA
Experience with AI model lifecycle components, including pre-training, supervised fine-tuning, and model evaluation
Capable of working in a constantly evolving environment and quickly adapting to change
Clear written and oral communication skills with the ability to effectively collaborate with executives and engineering teams

Solution Architect, Financial Services

Key skills