Senior Solutions Architect, Financial Services Capital Markets

Nvidia

Actively hiring
Remote (Us, Ny, Remote, US) Posted 44 days ago $224,000$356,500 / year

At a glance

AI generated

TL;DR

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 in the finance industry. This role involves partnering with NVIDIA teams to secure customer design wins by conducting proof-of-concept evaluations and optimizing machine learning models for GPU architectures. The ideal candidate will collaborate closely with client researchers and developers to address business-critical issues using NVIDIA technology, while also creating educational materials like notebooks and blogs on topics such as ML/DL, recommender systems, GNNs, and Monte Carlo simulations. Required skills include extensive experience in Python and C++, proficiency in frameworks like PyTorch and TensorFlow, and familiarity with NVIDIA GPU architectures and CUDA libraries.

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 product feature development through customer feedback.
  • Conduct proof-of-concept evaluations for ML/DL models to optimize performance on GPU architectures.
  • Collaborate directly with client researchers and engineers to drive success 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, recommender systems.

What we're looking for

  • 12+ years experience in ML/Software Engineering with Python and C++ proficiency.
  • Proven expertise in ML/DL frameworks like PyTorch, TensorFlow, Spark, Dask, Jax.
  • Strong communication skills for sharing technical ideas through blogs and GitHub.
  • Experience deploying ML/DL models at scale on public clouds or HPC clusters.
  • Proficiency in NVIDIA GPU architectures and CUDA-x libraries development.

Market check

Salary context

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

Peer median band

$152,000$240,750

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$147,250$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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