Senior Solutions Architect, Financial Services, Banking

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Logo of NVIDIA

NVIDIA

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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 with clients, engineers, and architects, including analysis, profiling, and optimization of ML/DL models for current- and next-generation GPU architectures • Work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues using NVIDIA technology • Facilitate rapid resolution of customer issues and promote high customer satisfaction • Build finance-industry collateral such as notebooks and blogs covering ML/DL, recommender systems, GNN, Monte Carlo simulations, and quantitative finance use cases

🎯 Requirements

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or another Engineering field, or equivalent experience • 8+ years of experience as an ML/Software Engineer • Proven track record writing code in Python and C++ • Experience with ML/DL algorithms and frameworks such as TensorFlow, JAX, PyTorch, Spark, and Dask • Ability to communicate ideas and share code clearly through blog posts and GitHub • Effective verbal and written communication and technical presentation skills • Self-starter passionate about growth, continuous learning, and sharing findings • Experience building and deploying banking and payments modeling techniques such as time series, Transformers, GraphNNs, XGBoost, and recommender systems • Familiarity with NLP generative and agentic AI models, frameworks, and applications • Skill deploying ML/DL models at scale on on-premises or public cloud computing clusters in production • Development experience with NVIDIA software libraries and GPUs • Knowledge of MLOps technologies such as Docker/containers, Kubernetes, and data center deployments • Experience working with enterprise developers building AI, HPC, or data analytics applications

🏖️ Benefits

• Equity • Benefits • Equal opportunity employer • Inclusive work environment

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