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About the Role

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.

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.

Requirements

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++
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

Skills

ML/DL algorithms with frameworks such as PyTorch, Spark, Dask, Jax, TensorFlow
Deploying ML/DL models at scale on public cloud computing and/or on-prem HPC clusters in production
C/C++ programming proficiency
Software design, programming techniques, and algorithms
Performance optimizations
NVIDIA GPU architectures
NVIDIA CUDA-x libraries, cuBLAS, cuDNN
MLOps technologies such as containers, data center deployments, cluster management software
Building HPC or data analytics applications

Location

Remote

Work Type

Full-time

Experience Level

5+ years

Education Level

MS/PhD

Salary/Compensations

152,000 USD - 241,500 USD

Benefits

Equity

About the Company

NVIDIA is widely considered to be one of the technology world’s most desirable employers.
We have some of the most forward-thinking and hardworking people in the world working for us.
NVIDIA pioneered accelerated computing.
Today, our AI infrastructure powers global intelligence, transforming every industry.
Learn more about NVIDIA.

Equal Opportunity

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.