NVIDIA

Compensation

Full Description

Description: • Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers • Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations • Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis, profiling and optimization of machine learning/deep learning models to ensure the best performance on current- and next-generation GPU architectures • Work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues to drive success using NVIDIA technology • Facilitate rapid resolution of customer issues and promote the highest levels of customer satisfaction • Build collateral (notebooks/ blogs) applied to Finance industry use-cases such as ML/DL, recommender systems, GNN, monte-carlo simulations, Quantitative Finance, etc. by working closely with customers Requirements: • BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience) • 12+ years experience as an ML/Software Engineer with a proven track record in writing code in Python, C++ • Experience with ML/DL algorithms with frameworks such as TensorFlow, Jax, PyTorch, Spark, Dask • Ability to communicate ideas and share code clearly through blog posts, GitHub • Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales, and marketing teams) • Effective verbal/written communication and technical presentation skills • Self-starter with a passion for growth, a real enthusiasm for continuous learning, and sharing findings across the team Benefits: • Equity • Benefits