Senior Solutions Architect, Financial Services Banking

About the role

The Financial Services Solutions 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. Solutions Architects work with top minds in Financial Services - Banking, Consumer Finance - to accelerate High-Performance Computing and AI workloads across various use cases.

Responsibilities

• 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.

Requirements

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience)
• 12+ 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

Qualifications

• 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

Skills

• 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

Benefits

Base salary range: $224,000 - $356,500. Eligible for equity and benefits.

Pay

Base salary will be determined based on your location, experience, and the pay of employees in similar positions.

Schedule

Not specified.

Application Instructions

Applications for this job will be accepted at least until April 19, 2026.

NVIDIA

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.