Senior Solutions Architect, Financial Services Banking

Details

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. This role partners with customers and internal teams to deliver proof-of-concepts, optimize ML/DL models for NVIDIA GPU architectures, and create industry-applied collateral.

Responsibilities

• Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins and enable product feature development through customer feedback and proof-of-concept evaluations.
• Perform proof-of-concepts alongside clients, engineers, and other architects; conduct in-depth analysis, profiling, and optimization of machine learning / deep learning models to ensure optimal 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 successful adoption of NVIDIA technology.
• Facilitate rapid resolution of customer issues and promote the highest levels of customer satisfaction.
• Build collateral (notebooks, blogs, GitHub examples) applied to finance industry use cases such as ML/DL, recommender systems, graph neural networks, 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 of experience as an ML/Software Engineer with a proven track record writing code in Python and C++.
• Experience with ML/DL algorithms and frameworks such as TensorFlow, Jax, PyTorch, Spark, and Dask.
• Experience in profiling, optimization, and performance tuning of ML/DL models for GPU architectures.
• Ability to communicate ideas and share code clearly through blog posts and GitHub.
• Strong cross-functional collaboration skills; comfortable working with engineering/research, product, sales, and marketing teams.
• Effective verbal and written communication and technical presentation skills.
• Self-starter with a passion for growth, continuous learning, and sharing findings across the team.

Ways to Stand Out

• Experience building and deploying banking and payments modeling techniques (time-series modeling, transformers, GraphNNs, XGBoost, recommender systems).
• Familiarity with NLP, generative AI, 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, and data center deployments; experience working with enterprise developers building AI, HPC, or data analytics applications.

Benefits

• Base salary (determined by location, experience, and comparable roles) with a stated base range of 224,000 USD - 356,500 USD.
• Eligibility for equity and additional benefits as provided by NVIDIA.

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. Applications for this job will be accepted at least until December 13, 2025.