Working remotely in a full-time capacity, the Financial Services Solutions Architect will partner with engineering and sales teams to secure design wins, perform proof-of-concepts for machine learning models, and drive customer satisfaction in the finance industry. Key responsibilities Collaborate with NVIDIA teams to enable product feature development through customer feedback and proof-of-concept evaluations Conduct in-depth analysis and optimization of machine learning models alongside clients and engineers Create collateral related to finance industry use cases, such as ML/DL and quantitative finance, by working closely with customers Required qualifications BS/MS/PhD in Computer Science, Engineering, Mathematics, or equivalent experience 5+ years of experience as an ML/Software Engineer with proficiency in Python and C++ Experience with ML/DL algorithms and frameworks such as TensorFlow, Jax, and PyTorch Ability to communicate technical concepts clearly through blog posts and GitHub Experience working collaboratively across engineering, research, product, and sales teams