The candidate must be pursuing a degree in Computer Science, Engineering, Math, or related fields, with programming skills in Python, C, C++, and knowledge of technologies such as PyTorch, Linux, Docker, CPU, GPU, and Deep Learning. Prior knowledge of financial modeling and familiarity with applied math and statistical analysis are also required. Additionally, experiences in teaching or mentoring, exposure to financial services, and being a motivated, self-starter team player will set the candidate apart.

The Solutions Architect Intern at NVIDIA will be responsible for utilizing NVIDIA software for algorithmic acceleration in the financial services industry, including utilizing AI for training and inference. They will apply their skills in research, development, and algorithms to work on industry examples and assist with conversations, workshops, and training. Summer 2024 internship.

Banking & Finance

United States

New York

Large

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Manufacturing & Electronics

NVIDIA

<ul><li><span style="color: rgb(73, 73, 73); background-color: rgb(255, 255, 255);">The internship is about being immersed in working closely with NVIDIA’s Solution Architects engaged with clients on approaches to accelerate HPC monte-carlo simulations, pricing, fraud, risk, and time-series AI training an inference for Generative AI workloads. You will maximize your work in Engineering, Physics or Data Science in conjunction with Development while learning from an expert Financial Services Team. This is an outstanding position going beyond just technical skills, working on projects that have a measurable impact on our business. These projects include (but are not limited to) developing GPU-accelerated algorithms for data analysis, machine learning, or deep learning with applications to quantitative finance.</span></li></ul>

Bachelors

Masters

The internship is about being immersed in working closely with NVIDIA’s Solution Architects engaged with clients on approaches to accelerate HPC monte-carlo simulations, pricing, fraud, risk, and time-series AI training an inference for Generative AI workloads. You will maximize your work in Engineering, Physics or Data Science in conjunction with Development while learning from an expert Financial Services Team. This is an outstanding position going beyond just technical skills, working on projects that have a measurable impact on our business. These projects include (but are not limited to) developing GPU-accelerated algorithms for data analysis, machine learning, or deep learning with applications to quantitative finance.

Solutions Architect Intern, Financial Services Industry - Summer 2024

Requirements

Responsibilities

NVIDIA

Mission & Purpose