Senior Solutions Architect, Financial Services Capital Markets

NVIDIA; New Jersey; On-site; USD 224,000 - 356,500; Full time

Job summary

A leading technology firm in New Jersey is seeking a highly skilled Solution Architect to work with financial services clients. This role involves collaboration with engineering, product, and sales teams to optimize ML and HPC solutions. The ideal candidate will have over 12 years of experience in software engineering, coding proficiency in Python and C++, and the ability to effectively communicate complex ideas. A competitive salary range of $224,000 - $356,500 USD and equity benefits are offered.

Qualifications

• 12+ years of experience as an ML/Software Engineer.
• Proven track record in writing code in Python and C++.
• Effective verbal/written communication and technical presentation skills.

Responsibilities

• Partner with engineering and sales teams for design wins.
• Perform proof-of-concepts with clients to optimize models.
• Build collateral for finance industry use cases.

Skills

Python programming

C++ programming

ML/DL algorithms

Communication skills

HPC cluster deployment

Education

BS/MS/PhD in Computer Science or related field

Tools

PyTorch

TensorFlow

NVIDIA CUDA libraries

Job description

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 Capital Markets and Exchange firms 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 solve challenges.

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)
• 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 PyTorch, Spark, Dask, Jax, TensorFlow
• 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
• Skilled in deploying ML/DL models at scale on public cloud computing and/or on‑prem HPC clusters in production

Ways To Stand Out From The Crowd

• Demonstrate C/C++ programming proficiency with an understanding of software design, programming techniques, and algorithms, alongside experience performing performance optimizations.
• Familiarity with NVIDIA GPU architectures.
• GPU Development experience through NVIDIA CUDA-x libraries, cuBLAS, cuDNN.
• Knowledge of MLOps technologies such as containers, data center deployments, cluster management software, etc.
• Experience working with enterprise developers building 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 January 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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.