NVIDIA Corporation

Solutions Architect, Financial Services Banking

NVIDIA Corporation$152K — $241K *
US-AnywhereRemote in Virginia, US
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS/MS/PhD in Computer Science, Engineering, Physics, Mathematics, or related field (or equivalent experience)
  • 5+ years as an ML/Software Engineer with proficient coding in Python, C++
  • Experience with ML/DL algorithms using frameworks like TensorFlow, PyTorch, or similar
  • Strong communication skills for coding ideas via blogs or GitHub
  • Enjoy collaborative work across various teams including engineering, product, and sales
  • Effective verbal/written communication and presentation skills
  • Self-starter passionate about learning and sharing knowledge

Responsibilities

  • Collaborate with NVIDIA teams to secure customer design wins and influence product development
  • Conduct proofs-of-concept with clients focusing on optimizing machine learning models
  • Work alongside client researchers and engineers on relevant projects and workflows
  • Resolve customer issues promptly and enhance satisfaction levels
  • Create technical collateral such as notebooks or blogs relevant to Finance applications

Benefits

  • Eligibility for equity
  • Access to comprehensive health benefits
  • Flexible work schedule
  • Professional development opportunities
  • Collaboration with top industry experts
  • Engagement in an innovative and dynamic work environment
Full Job Description
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. 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-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


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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