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Solutions Architect, Financial Services Capital Markets

NVIDIA· Architect, Solutions
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Hybrid (US, NY, Remote), Hybrid (Santa Clara, CA)$152k - $241.5kfull-timePosted 4mo ago

About the role

Solution Architect role focused on accelerating HPC and AI workloads for Financial Services Capital Markets and Exchange firms, partnering with NVIDIA teams to drive design wins, perform PoCs, and develop finance-focused collateral.

Responsibilities

  • 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.

Qualifications

  • 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

Skills

Required:PythonC++ML/DL frameworksCommunication

Benefits

  • You will also be eligible for equity and benefits (per company policy)
Last updated Jul 3, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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