Senior Solutions Architect, Financial Services Capital Markets

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: NYCTNJ
Salary: $224,000–$356,500 / yr
Posted: 57 days ago
Freshness: Confirmed live yesterday
Nearby: 49 roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k

This role $290k

$127k most similar roles pay here $381k

This role pays more than 97% of similar roles. Most pay $161,250–$235,750 — the shaded band above. At the midpoint, this role pays about $290k versus about $198k for comparable roles.

Based on 239 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior Solutions Architect, Financial Services Capital Markets

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Senior Solutions Architect, Financial Services Capital Markets joins the Financial Services Solution Architect team to collaborate with Quants and Data Scientists on high-performance computing and AI workloads for capital markets and exchange firms. This role involves partnering with engineering, product, and sales teams to secure design wins, perform proof-of-concepts, and optimize machine learning and deep learning models on GPU architectures. The candidate will work directly with client researchers to resolve issues and build technical collateral like notebooks and blogs for use cases including recommender systems, GNN, monte-carlo simulations, and quantitative finance. Required skills include Python, C++, PyTorch, Spark, Dask, Jax, and TensorFlow. Experience with CUDA-x libraries, MLOps technologies, and deploying models on public cloud or HPC clusters is essential to solve complex technical challenges within the financial services domain.

What does a Solutions Architect earn in Remote?

Median $231100 from 71 postings across 13 companies.

See salary data

Skills

Python C++ PyTorch TensorFlow JAX Spark Dask CUDA cuBLAS cuDNN High-Performance Computing MLOps GPU Architecture Machine Learning Deep Learning GitHub

What you'll do

Partner with internal engineering and product teams to secure design wins at customer sites.
Conduct proof-of-concept evaluations to drive the development of new product features based on customer feedback.
Perform in-depth analysis, profiling, and optimization of machine learning models for GPU architectures.
Work directly with client researchers to resolve technical issues and optimize business-impacting workflows.
Create technical content such as notebooks and blogs focused on finance industry use cases.
Deploy machine learning and deep learning models at scale on public cloud or on-prem HPC clusters.

What we're looking for

BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or another engineering field (or equivalent experience).
12+ years of experience as an ML/Software Engineer with a proven track record in Python and C++.
Experience with ML/DL algorithms using frameworks such as PyTorch, Spark, Dask, Jax, or TensorFlow.
Ability to communicate ideas and share code clearly through blog posts and GitHub.
Strong verbal and written communication skills for technical presentations and cross-team collaboration.
Skill in deploying ML/DL models at scale on public cloud computing or on-prem HPC clusters.
Proficiency in C/C++ with an understanding of software design, programming techniques, and performance optimizations.
Familiarity with NVIDIA GPU architectures and CUDA-x libraries like cuBLAS and cuDNN.

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