Solutions Architect, Financial Services Capital Markets

Nvidia

Confirmed live 2 days ago Trusted
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$152,000–$241,500 / yr
Posted
92 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k
This role $197k
$139k most similar roles pay here $252k

This role pays more than 54% of similar roles. Most pay $162,000–$235,750 — the shaded band above. At the midpoint, this role pays about $197k versus about $199k for comparable roles.

Based on 240 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 · Solutions Architect, Financial Services Capital Markets

Solutions Architect, Financial Services Capital Markets joins the Financial Services Solution Architect team to accelerate High-Performance Computing and AI workloads for finance 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 architect will work directly with client researchers to resolve issues and build collateral like notebooks and blogs covering use cases such as recommender systems, GNN, monte-carlo simulations, and Quantitative Finance. Required skills include proficiency in Python and C++, experience with frameworks like PyTorch, Spark, Dask, Jax, and TensorFlow, and expertise in deploying models on public cloud or HPC clusters. Candidates should also possess knowledge of CUDA-x libraries, MLOps technologies, and performance optimization techniques to solve complex technical challenges within the capital markets domain.

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 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 collateral 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

  • MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or another engineering field (or equivalent experience).
  • 5+ years of experience as an ML/Software Engineer.
  • Proven track record of writing code 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.
  • Effective verbal and written communication skills including technical presentation abilities.
  • Skill in deploying ML/DL models at scale on public cloud computing or on-prem HPC clusters.
  • Familiarity with NVIDIA GPU architectures and CUDA-x libraries like cuBLAS and cuDNN.

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