Solutions Architect, Financial Services Banking, Solutions Architect, Financial Services Banking

NVIDIA; New York (NY); On-site; USD 224,000 - 356,500; Full time

Benefits offered by this job

Equity options

Health benefits

Job summary

A leading technology company is seeking a Solutions Architect for Financial Services Banking. The role involves partnering with engineering and sales teams, performing proof-of-concept evaluations, and creating collateral for finance-related machine learning applications. Candidates should have over 12 years of experience in machine learning and software engineering, with strong skills in Python and deep learning frameworks. A commitment to diversity and inclusion is emphasized in the workplace.

Qualifications

• 12+ years experience as an ML/software engineer.
• Strong experience with ML/DL frameworks.
• Effective verbal/written communication skills.

Responsibilities

• Partner with teams to secure design wins.
• Perform proof-of-concept evaluations.
• Build collateral for finance industry use-cases.

Skills

Machine Learning

Deep Learning

Python

C++

Communication

Collaboration

Education

BS/MS/PhD in Computer Science or related fields

Tools

TensorFlow

Jax

PyTorch

Kubernetes

Docker

Job description

Solutions Architect, Financial Services Banking

Join to apply for the Solutions Architect, Financial Services Banking role at NVIDIA.

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 — 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!

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‑conceptions 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).
• 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.

Ways To Stand Out From The Crowd

• Experience building and deploying banking and payments modelling techniques, such as: time‑series, transformers, graph‑NN, 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD – 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 1, 2025.

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.