Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leading technology company seeking a Senior Solutions Architect for their Financial Services Solutions Architect team. This role involves engaging with the finance industry to accelerate High-Performance Computing and AI workloads, collaborating with various stakeholders to drive customer success.
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
Skills
- 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 TensorFlow, Jax, PyTorch, Spark, Dask
- 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
- Experience building and deploying Banking and Payments modeling techniques, such as: Time-series, Transformers, GraphNNs, XGBoost, Recommender Systems, etc
- Familiarity with NLP Generative and Agentic AI models, frameworks, and applications
- Skilled in deploying ML/DL models at scale on on-prem or public cloud computing clusters in production
- Development experience with NVIDIA software libraries and GPUs
- Knowledge of MLOps technologies such as Docker/containers, Kubernetes, data center deployments etc. Experience working with enterprise developers building AI, HPC, or data analytics applications
Benefits
- You will also be eligible for equity and benefits.
Company Overview
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com.Company H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships, with 448 in 2026, 1872 in 2025, 1354 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.