NVIDIA Corporation

Solutions Architect, Financial Services Capital Markets

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

Qualifications

  • MS/PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience)
  • 5+ years experience as a Machine Learning/Software Engineer, proficient in Python and C++
  • Experience with ML/DL algorithms using frameworks like PyTorch, TensorFlow, etc.
  • Strong communication skills for sharing technical ideas via blogs or GitHub
  • Ability to collaborate across engineering, research, and sales teams
  • Self-motivated with a passion for continuous learning
  • Experience deploying ML/DL models at scale on cloud or HPC clusters

Responsibilities

  • Collaborate with NVIDIA teams to secure design wins and gather customer feedback
  • Perform proof-of-concepts and optimize machine learning models for GPU performance
  • Work directly with customers to address impactful workflow issues using NVIDIA technology
  • Ensure rapid resolution of customer issues to maintain high satisfaction
  • Create collateral for Finance industry use cases such as Monte Carlo simulations and recommender systems

Benefits

  • Equity opportunities
  • Comprehensive benefits package
  • Flexible working arrangements
  • Access to cutting-edge technology and resources for professional growth
Full 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 with 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. 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:
  • 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 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 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 June 15, 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

Similar Jobs

More Jobs at NVIDIA Corporation

More Finance & Insurance Jobs

Find similar Solutions Architect, Financial Services Capital Markets jobs: