Senior Solutions Architect, Financial Services Capital Markets

🕒 il y a 9 mois

🦌 Connecticut, New Jersey, +1 états de plus – Distant

🦌 Connecticut – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote

💵 $224 000 - $356 500 / an

⏰ Temps Plein

🟠 Senior

💻 Ingénieur Solutions

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NVIDIA

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1993

🤖 Intelligence artificielle

🎮 Jeux vidéo

Artificial Intelligence • Gaming • Automotive

NVIDIA est une entreprise technologique de premier plan, spécialisée dans le calcul accéléré et l’intelligence artificielle (IA). NVIDIA est à l’avant‑garde des avancées en GPU (processeurs graphiques), cloud computing, centres de données et réalité virtuelle, avec un accent particulier sur les secteurs du gaming, de l’automobile, de la santé et de la robotique. Ses innovations, telles que NVIDIA Omniverse, transforment les processus numériques traditionnels en permettant des simulations haute fidélité et des tâches de rendu de pointe. Ses applications couvrent de nombreux secteurs, des véhicules autonomes avec NVIDIA DRIVE aux solutions de santé avec NVIDIA Clara, ainsi que des analyses et workflows pilotés par l’IA.

Description

• What You’ll Be Doing: 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. • What We Need To See: 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 • Ways To Stand Out From The Crowd: 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.

🎯 Exigences

• 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 • Ways To Stand Out From The Crowd: 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.

🏖️ Avantages

• Equity and benefits