Solutions Architect - Financial Services

Yesterday

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NVIDIA

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GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming

10,000+

Description

• Perform proof-of-concepts with clients on AI models. • Work directly with client Data Scientists and developers. • Build collateral for Finance industry use-cases like Generative AI and Quantitative Finance. • Collaborate with industry partners to build GPU-accelerated solutions. • Partner with NVIDIA teams for design wins.

Requirements

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience) • 5+ 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

• Eligible for equity and benefits. • NVIDIA is committed to fostering a diverse work environment.