NVIDIA
Solutions Architect, Financial Services Capital Markets
$152K–$242K
US, NY, Remote +1 · Full-time · Posted Jun 11, 2026
- Location
- US, NY, Remote
US, CA, Santa Clara - Experience
- 5+ years as an ML/Software Engineer.
- Education
- MS/PhD in a specified field (or equivalent experience).
About the job
Partners with financial services capital-markets and exchange customers to design, optimize, and deploy accelerated computing, machine-learning, and AI solutions using NVIDIA technology.
What you'll do
- Collaborate with NVIDIA teams and customers on design wins, product feedback, and proof-of-concept evaluations.
- Analyze, profile, and optimize ML/DL models on GPU architectures, and support customer workflows and issue resolution.
- Develop finance-focused notebooks and blog content for use cases such as recommender systems, GNNs, Monte Carlo simulations, and quantitative finance.
What they ask for
- MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or another Engineering field (or equivalent experience).
- 5+ years of experience as an ML/Software Engineer, with a track record writing Python and C++ code.
- Experience with ML/DL algorithms and frameworks such as PyTorch, Spark, Dask, Jax, or TensorFlow.
- Experience deploying ML/DL models at scale on public cloud computing and/or on-prem HPC clusters in production.
Nice to have
- Performance optimization and familiarity with NVIDIA GPU architectures, CUDA-x libraries, cuBLAS, or cuDNN.
- Knowledge of MLOps technologies or experience building HPC or data analytics applications with enterprise developers.
Pay
152,000 USD - 241,500 USD (base salary)
Tools
Python, C++, PyTorch, Spark, Dask, Jax, TensorFlow, CUDA-x
AI focus
Applies and optimizes machine learning/deep learning models and AI workloads for financial-services use cases on accelerated computing platforms.
Model-written summary · the original posting is authoritative