Senior Solutions Architect, Financial Services Banking

Nvidia

Actively hiring
Remote (Us, Ny, New York, US) Posted 43 days ago $224,000–$356,500 / year
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At a glance

AI generated

TL;DR

The Financial Services Solutions Architect team seeks a senior-level individual to collaborate with Quants and Data Scientists in accelerating High-Performance Computing and AI workloads for the finance industry, including banking and consumer finance sectors. This role involves partnering with NVIDIA teams to secure design wins at customers by conducting proof-of-concepts and optimizing machine learning models on GPU architectures. The ideal candidate will have extensive experience in Python and C++ programming, proficiency with TensorFlow, Jax, PyTorch, Spark, and Dask, and a strong background in deploying ML/DL models at scale using NVIDIA software libraries and GPUs. Additionally, the role requires expertise in MLOps technologies like Docker and Kubernetes, as well as familiarity with NLP generative AI models and applications, to address complex business challenges within the finance domain.

Skills

Python C++ TensorFlow Jax PyTorch Spark Dask Kubernetes Docker NVIDIA XGBoost Recommender Systems GraphNNs Time-series Transformers NLP Generative AI Agentic AI MLOps

What you'll do

  • Partner with teams to secure design wins at financial services customers.
  • Conduct proof-of-concepts for ML/DL models on GPU architectures.
  • Work directly with client researchers and engineers on business-critical projects.
  • Resolve customer issues quickly and ensure high satisfaction levels.
  • Create industry-specific collateral like notebooks and blogs for finance use-cases.

What we're looking for

  • BS/MS/PhD in Computer Science or related field with 12+ years experience in ML engineering.
  • Proven expertise in Python and C++ for developing machine learning models.
  • Extensive knowledge of TensorFlow, PyTorch, Spark, Dask, and other ML/DL frameworks.
  • Experience deploying ML/DL models at scale on GPUs and public cloud clusters.
  • Strong communication skills to collaborate across teams and share technical findings.
  • Familiarity with NLP generative AI models and MLOps technologies like Docker/Kubernetes.

Market check

Salary context

This $224,000–$356,500 range sits above 95% of similar postings on FindRole.

Peer median band

$157,484–$241,500

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$151,493–$235,750

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 802 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.

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