[Remote] Senior Solutions Architect, Financial Services Banking
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.
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