Solutions Architect, Financial Services Capital Markets

NVIDIA Gruppe; New York (NY); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity

Inclusive work environment

Comprehensive benefits

Job summary

NVIDIA Gruppe is looking for a Financial Services Solution Architect in New York to join a team of Quants and Data Scientists. The role involves engaging with financial institutions, optimizing ML models, and ensuring successful client projects using NVIDIA technology.

Candidates should have a strong background in ML/Software Engineering, experience with programming in Python and C++, and excellent communication skills. The base salary ranges from $152,000 to $241,500, alongside equity and benefits.

Qualifications

• 5+ years of experience as an ML/Software Engineer.
• Proven experience with ML/DL algorithms.
• Ability to communicate ideas clearly through blog posts and GitHub.

Responsibilities

• Partner with NVIDIA teams to secure design wins at customers.
• Conduct proof-of-concepts for ML model optimization.
• Work with clients on business-impacting workflows.

Skills

Machine Learning

Deep Learning

Python

C++

Communication

Education

MS/PhD in Computer Science or related engineering field

Tools

PyTorch

Spark

TensorFlow

Job description

The Financial Services Solution Architect team is looking for an extraordinary person to join an experienced team of Quants and Data Scientists, engaging the finance industry with compelling examples of full-stack accelerated computing. Solution Architects work with top minds with Financial Services Capital Markets and Exchange firms to accelerate High-Performance Computing and AI workloads across various use cases. We’re seeking an inquisitive, hard-working, and creative individual passionate about helping solve challenges. Join us in this endeavor!

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‑carlos simulations, Quantitative Finance, etc. by working closely with customers.

What We Need To See:

• MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience)
• 5+ 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.