Solutions Architect, Financial Services Banking
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Overview
Job Description
What You’ll Be Doing:
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.
What We Need To See:
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:
Experience building and deploying Banking and Payments modeling techniques, such as: Time-series, Transformers, GraphNNs, XGBoost, Recommender Systems, etc
Familiarity with NLP Generative and Agentic AI models, frameworks, and applications
Skilled in deploying ML/DL models at scale on on-prem or public cloud computing clusters in production
Development experience with NVIDIA software libraries and GPUs
Knowledge of MLOps technologies such as Docker/containers, Kubernetes, 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!
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
