Solutions Architect, Financial Services

Details

The Financial Services Solution Architect team is looking for an extraordinary person to join an experienced team of Quants and Data Scientists, engaging the finance industry with compelling examples of full-stack accelerated computing. Solution Architects work with top minds in Financial Services (Banking, Consumer Finance, Payments) to accelerate High-Performance Computing and AI workloads across various use cases. We’re seeking an inquisitive, hard-working, and creative individual passionate about helping tackle challenges. Join us in this endeavor!

Responsibilities

• Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis and optimization of powerful AI models to ensure the best performance on current- and next-generation GPU architectures.
• Work directly with client Data Scientists and developers on business-impacting workflows, projects, issues and success using NVIDIA technology.
• Build collateral (notebook/ blog) applied to Finance industry use-cases such as Generative AI, recommender, GAN, GNN, monte-carlo, Quantitative Finance, etc. by working closely with customers.
• Collaborate with key industry partners/customer developers to build GPU-accelerated solutions that are applied to their products and technologies.
• Partner with NVIDIA Engineering, Product Engineering, 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.

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

Ways To Stand Out From The Crowd

• Skilled in deploying ML/DL models at scale on public cloud computing clusters in production
• Development experience with NVIDIA software libraries and GPUs
• Knowledge of MLOps technologies such as Docker/containers, Kubernetes, KubeFlow, data center deployments etc. Experience working with enterprise developers building AI, HPC, or data analytics applications.

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!