Senior Solutions Architect, Financial Services Banking

Nvidia

Confirmed live yesterday Trusted
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$224,000–$356,500 / yr
Posted
149 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k
This role $290k
$129k most similar roles pay here $381k

This role pays more than 97% of similar roles. Most pay $162,000–$235,750 — the shaded band above. At the midpoint, this role pays about $290k versus about $199k 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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View all roles at Nvidia

At a glance

TL;DR · Senior Solutions Architect, Financial Services Banking

Senior Solutions Architect, Financial Services Banking joins the Financial Services Solutions Architect team to accelerate high-performance computing and AI workloads for the banking and consumer finance industries. This role involves partnering with engineering, product, and sales teams to secure design wins, perform proof-of-concept evaluations, and provide in-depth analysis, profiling, and optimization of machine learning and deep learning models on GPU architectures. The successful candidate will work directly with client researchers to resolve issues and build technical collateral like notebooks and blogs for use cases including recommender systems, Monte Carlo simulations, and quantitative finance. Required skills include proficiency in Python and C++, experience with frameworks such as TensorFlow, Jax, PyTorch, Spark, and Dask, and familiarity with MLOps tools like Docker and Kubernetes to deploy models at scale on cloud or on-premise clusters.

What does a Solutions Architect earn in Remote?

Median $231100 from 71 postings across 13 companies.

See salary data

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 NVIDIA product features.
  • Perform in-depth analysis, profiling, and optimization of machine learning models on GPU architectures.
  • Work directly with client researchers to resolve technical issues and optimize business-impacting workflows.
  • Create technical content such as notebooks and blogs for specific financial industry use cases.
  • Develop solutions for high-performance computing and AI workloads in banking and consumer finance.
  • Deploy ML/DL models at scale on on-premise or public cloud computing 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.
  • Proven track record in writing code in Python and C++.
  • Experience with ML/DL algorithms using frameworks such as TensorFlow, Jax, PyTorch, Spark, or Dask.
  • Ability to communicate ideas and share code clearly through blog posts and GitHub.
  • Effective verbal/written communication and technical presentation skills.
  • Experience building and deploying banking and payments modeling techniques like Time-series, Transformers, GraphNNs, XGBoost, and Recommender Systems.
  • Knowledge of MLOps technologies such as Docker, containers, Kubernetes, and data center deployments.

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