Senior Solutions Architect, Financial Services

Financial Services Solution Architect

Employment Type: Full-time

Position Overview

The Financial Services Solution Architect team is seeking an extraordinary individual to join an experienced team of Quants and Data Scientists. This role involves engaging the finance industry with compelling examples of full-stack accelerated computing. Solution Architects collaborate with top minds in Financial Services Capital Markets and Exchange firms to accelerate High-Performance Computing (HPC) and AI workloads across various use cases. We are looking for an inquisitive, hard-working, and creative individual passionate about solving challenges in this domain.

What You’ll Be Doing:

• Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers.
• Enable the 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, and Quantitative Finance, by working closely with customers.

What We Need To See:

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience).
• 12+ years of experience as an ML/Software Engineer with a proven track record in writing code in Python and C++.
• Experience with ML/DL algorithms using frameworks such as PyTorch, Spark, Dask, Jax, TensorFlow.
• Ability to communicate ideas and share code clearly through blog posts and 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.
• Skilled in deploying ML/DL models at scale on public cloud computing and/or on-prem HPC clusters in production.

Ways To Stand Out From The Crowd:

• Demonstrate C/C++ programming proficiency with an understanding of software design, programming techniques, and algorithms, alongside experience performing performance optimizations.
• Familiarity with NVIDIA GPU architectures.
• GPU Development experience through NVIDIA CUDA-x libraries, cuBLAS, cuDNN.
• Knowledge of MLOps technologies such as containers, data center deployments, cluster management software, etc.
• Experience working with enterprise developers building HPC or data analytics applications.

Company Information:

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Compensation and Benefits:

• Salary Range: $224,000 - $356,500 USD. The base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• You will also be eligible for equity and benefits.

Application Instructions:

NVIDIA accepts applications on an ongoing basis.

Equal Opportunity Employer:

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.