# Senior Solutions Architect, Financial Services Capital Markets

**Company**: NVIDIA
**Location**: US
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-NY-Remote/Senior-Solutions-Architect--Financial-Services_JR1999789?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_eb128035-acd

## Description

We're seeking an extraordinary Senior Solutions Architect to join our experienced team of Quants and Data Scientists, engaging the finance industry with compelling examples of full-stack accelerated computing. As a Senior Solutions Architect, you will partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers. You will 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.

You will work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues to drive success using NVIDIA technology. You will facilitate rapid resolution of customer issues and promote the highest levels of customer satisfaction. You will 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.

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).

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.

## Skills

### Required
- Python
- C++
- PyTorch
- Spark
- Dask
- Jax
- TensorFlow
- NVIDIA GPU architectures
- CUDA-x libraries
- cuBLAS
- cuDNN
- MLOps technologies
- containers
- data center deployments
- cluster management software

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-NY-Remote/Senior-Solutions-Architect--Financial-Services_JR1999789?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)