NVIDIA ยท 5 months ago
Senior Solutions Architect, Financial Services
United States
Full-time
Remote
Senior Level, Lead/Staff
$224K/yr - $356K/yr
12+ years expNVIDIA is seeking a Senior Solutions Architect for their Financial Services team to engage with the finance industry and accelerate High-Performance Computing and AI workloads. The role involves collaborating with various teams to drive customer success and develop innovative solutions tailored to the finance sector.
Computer Hardware Manufacturing
Responsibilities
Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations
Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis, profiling and optimization of machine learning/deep learning models to ensure the best performance on current- and next-generation GPU architectures
Work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues to drive success using NVIDIA technology
Facilitate rapid resolution of customer issues and promote the highest levels of customer satisfaction
Build collateral (notebooks/ blogs) applied to Finance industry use-cases such as ML/DL, recommender systems, GNN, monte-carlo simulations, Quantitative Finance, etc. by working closely with customers
Qualification
Required
BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience)
12+ years experience as an ML/Software Engineer with a proven track record in writing code in Python, C++
Experience with ML/DL algorithms with frameworks such as PyTorch, Spark, Dask, Jax, TensorFlow
Ability to communicate ideas and share code clearly through blog posts, GitHub
Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales, and marketing teams)
Effective verbal/written communication and technical presentation skills
Self-starter with a passion for growth, a real enthusiasm for continuous learning, and sharing findings across the team
Skilled in deploying ML/DL models at scale on public cloud computing and/or on-prem HPC clusters in production
Preferred
Demonstrate C/C++ programming proficiency with an understanding of software design, programming techniques, and algorithms, alongside experience performing performance optimizations
Familiarity with NVIDIA GPU architectures
GPU Development experience through NVIDIA CUDA-x libraries, cuBLAS, cuDNN
Knowledge of MLOps technologies such as containers, data center deployments, cluster management software, etc
Experience working with enterprise developers building HPC or data analytics applications
Benefits
Equity
Benefits
Company
NVIDIA
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing.
10,001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
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Distribution of Different Job Fields Receiving Sponsorship
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2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Late StageCompany data provided by crunchbase