Solutions Architect, Financial Services Capital Markets

Nvidia

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA
Salary: $152,000–$241,500 / yr
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $196k

This role $197k

$135k most similar roles pay here $253k

This role pays more than 62% of similar roles. Most pay $158,928–$232,225 — the shaded band above. At the midpoint, this role pays about $197k versus about $196k 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 994 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 977 roles with salary data.

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At a glance

TL;DR · Solutions Architect, Financial Services Capital Markets

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The Financial Services Solution Architect team seeks a senior-level individual to join their accomplished group of Quants and Data Scientists, focusing on accelerating High-Performance Computing and AI workloads for leading financial institutions. This role involves partnering with NVIDIA teams to secure customer design wins by conducting proof-of-concept evaluations and optimizing machine learning models on GPU architectures. The ideal candidate will have extensive experience in Python and C++ programming, proficiency in ML/DL frameworks like PyTorch and TensorFlow, and a strong background in deploying large-scale ML/DL models on public clouds or HPC clusters. Additionally, familiarity with NVIDIA’s CUDA-x libraries and MLOps technologies is essential for this role, which requires deep expertise in finance industry use-cases such as quantitative finance and Monte Carlo simulations.

Skills

Python C++ PyTorch Spark Dask TensorFlow GitHub NVIDIA CUDA x86 cuBLAS cuDNN MLOps containers cluster management software public cloud computing on-prem HPC clusters

What you'll do

Partner with teams to secure design wins and enable development through customer feedback.
Conduct proof-of-concepts by analyzing, profiling, and optimizing ML/DL models on GPU architectures.
Collaborate directly with client researchers and engineers on business-critical workflows using NVIDIA technology.
Resolve customer issues promptly and ensure high levels of satisfaction.
Create collateral like notebooks and blogs for Finance industry use-cases such as ML/DL and Quantitative Finance.

What we're looking for

MS/PhD in Computer Science or related field and 5+ years experience in ML engineering.
Proficient in Python, C++, and GPU development using CUDA-x libraries.
Expertise in ML/DL frameworks like PyTorch, TensorFlow, Spark, Dask, Jax.
Ability to optimize machine learning models for performance on GPU architectures.
Experience deploying ML/DL models at scale on public clouds or HPC clusters.

Finance AI Solution Architect

Booz Allen Hamilton

McLean, VA 4 days ago $99,000–$225,000

Python AWS Azure GCP Databricks LangChain LLM engineering RAG pipelines CI/CD vector databases Prometheus Grafana

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