Senior Solutions Architect, Financial Services Capital Markets

Nvidia

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $184,000–$287,500 / yr
Posted: 4 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $196k

This role $236k

$136k most similar roles pay here $304k

This role pays more than 87% of similar roles. Most pay $157,425–$235,000 — the shaded band above. At the midpoint, this role pays about $236k 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 · Senior 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 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 industry-specific collateral like notebooks and blogs on finance-related use cases such as ML/DL, recommender systems, and GNNs. 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 PyTorch Spark Dask TensorFlow C++ CUDA x86 Architecture cuBLAS cuDNN MLOps GitHub NVIDIA GPU Public Cloud Computing On-Prem HPC Clusters HPC Applications Data Analytics Applications

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 machine learning/deep learning models on GPU architectures.
Collaborate directly with client ML researchers and engineers to drive project success using NVIDIA technology.
Resolve customer issues efficiently to ensure high levels of satisfaction.
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 and 8+ years experience in ML/software engineering.
Proficient in Python, C++, and GPU development using NVIDIA CUDA-x libraries.
Expertise in ML/DL frameworks like PyTorch, TensorFlow, and Dask for model deployment at scale.
Strong communication skills to share technical insights through blogs and GitHub.
Experience with MLOps technologies including containers and cluster management software.
Familiarity with NVIDIA GPU architectures and performance optimization techniques.
Ability to work collaboratively across multiple teams in engineering, product, sales, and marketing.

Senior Solutions Architect

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Python Java C++ Kubernetes Docker AWS Azure GCP CI/CD PostgreSQL MongoDB Git Jenkins Terraform Linux Network Infrastructure DoD Acquisition Processes CoT Link-16 ASTERIX

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