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NEXTMOVEFDE careers · United States

Senior Solutions Architect, Financial Services Capital Markets

AI summary of the role

NVIDIA seeks a Senior Solutions Architect to drive adoption of accelerated computing in Financial Services Capital Markets.

What you’ll do

  • Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers.
  • Perform proof-of-concepts with clients on analysis, profiling, and optimization of ML/DL models for current- and next-generation GPU architectures.
  • Work directly with client ML researchers and engineers on business-impacting workflows and issues.
  • Facilitate rapid resolution of customer issues and promote high customer satisfaction.

What you’ll bring

  • BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or equivalent experience.
  • 12+ years experience as an ML/Software Engineer with proven track record in Python and C++.
  • Experience with ML/DL algorithms and frameworks such as PyTorch, Spark, Dask, Jax, TensorFlow.
  • Skilled in deploying ML/DL models at scale on public cloud or on-prem HPC clusters in production.

Technologies

Python · C++ · PyTorch · Spark · Dask · Jax · TensorFlow · CUDA · cuBLAS · cuDNN

About NVIDIA

Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.

Public

Source and classification

Technical pre-sales · Evidence for this classification:

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
More from the 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 [... source excerpt omitted ...] 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 b [... source excerpt omitted ...] m you! 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 April 18, 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, nat

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